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Institutional Research Data Management Services Capacity Survey : Executive Summary Cooper, Alexandra; Perry, Carol; Szwajcer, Andrea; Wang, Minglu; Khair, Shahira Jan 31, 2020

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    Institutional Research Data Management Services Capacity Survey Executive Summary   Prepared by the Portage Network, Research Intelligence Expert Group (RIEG) on behalf of the Canadian Association of Research Libraries (CARL)         JANUARY 2020        Portage Network Canadian Association of Research Libraries portage@carl-abrc.ca  Statement of Authorship This report is authored by members of the Institutional Capacity Working Group of the Portage Network Research Intelligence Expert Group. ● Alexandra Cooper, Queen’s University Library ● Carol Perry, University of Guelph ● Andrea Szwajcer, University of Manitoba (Chair, Institutional Capacity Working Group) ● Minglu Wang, York University ● Shahira Khair, University of Victoria Libraries (Chair, Research Intelligence Expert Group)   Acknowledgements We thank all members of the Portage Network Research Intelligence Expert Group for their suggestions and revisions contributed to the study design and this report.    License This report is licensed under the terms and conditions of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License    PORTAGE NETWORK / CANADIAN ASSOCIATION OF RESEARCH LIBRARIES 1 Table of Contents  Introduction .................................................................................................................................................... 2 The Survey ....................................................................................................................................................... 3 The Results ...................................................................................................................................................... 4 Demographics ............................................................................................................................................. 4 Organizational involvement in RDM infrastructure and services ............................................................... 5 Barriers/Challenges .................................................................................................................................. 12 Conclusion ..................................................................................................................................................... 14 Appendix – Data Dictionary .......................................................................................................................... 15    PORTAGE NETWORK / CANADIAN ASSOCIATION OF RESEARCH LIBRARIES 2 Introduction  Over the last decade, research data management (RDM) has become a major policy initiative of research funding agencies as a mechanism to enhance research excellence. The Canadian Tri-Agency draft Research Data Management Policy1, released in May 2018, promotes sound data stewardship practices as integral to achieving research excellence. The policy is directed at both researchers and the institutions that administer Tri-Agency funds, establishing the requirement for individual institutions to develop and implement strategies to support researchers in adopting RDM best practices. Since the initial release of the draft policy, and, supported by details contained in the 2016 Tri-Agency Statement of Principles of Digital Data Management2, research institutions across Canada have begun examining their ability to support RDM by establishing institutional RDM strategies. In response, the Portage Research Intelligence Expert Group (RIEG) has initiated a series of surveys to examine institutional readiness for the rollout of the new Tri-Agency policy in 2020. The first survey, Institutional RDM Strategy Survey, examined the state of development of institutional RDM strategies. The summary report3, released in November 2019, indicated that a majority of research institutions had begun the process of developing a strategy, although many were only in the initial stage of reviewing support materials.  As a continuation of information seeking by RIEG, the Institutional Research Data Management Services Capacity Survey was conducted in order to benchmark the current capacity of Canadian research institutions to provide necessary RDM support before the final Tri-Agency RDM policy is announced.         1 Tri-Agency includes the three major federal funding agencies in Canada (SSHRC, CIHR, NSERC) http://www.science.gc.ca/eic/site/063.nsf/eng/h_97610.html 2 Tri-Agency Statement of Principles on Digital Data Management. (2016). Retrieved from http://www.science.gc.ca/eic/site/063.nsf/eng/h_83F7624E.html   3 Portage Research Intelligence Expert Group. (2019). Institutional RDM Strategy Survey. https://portagenetwork.ca/wp-content/uploads/2019/11/RIEGStrategySurveySummary_EN.pdf PORTAGE NETWORK / CANADIAN ASSOCIATION OF RESEARCH LIBRARIES 3 The Survey  The bilingual questionnaire surveyed the current state of Canadian research institutions in developing and allocating human, organizational, infrastructure, and fiscal resources for RDM on their campus. It also solicited suggestions for additional support that the Portage Network4 and other stakeholders could provide to assist with these efforts.  Using SimpleSurvey software, the survey was administered from September 3, 2019 – October 18, 2019. It was distributed through listservs and a contact list of identified relevant stakeholders. Each institution was asked to gather information from across campus and provide a coordinated response, although multiple responses from a single institution were also accepted. The survey consisted of 27 questions5 ranging from general demographic information to detailed questions of current infrastructure and services in place across institutional stakeholder groups. Most questions from the survey were based on the questionnaire from the 2017-2018 Open Access Survey6 of the European University Association. These questions were modified, and additional questions were added based on the examination of existing major RDM capacity survey instruments and research7, considerations of the Canadian context8, and discussions among working group members.       4 https://portagenetwork.ca/ 5 Portage Research Intelligence Expert Group. (2020). Institutional Research Data Management Services Capacity Survey, Data Dictionary.  6 Morais, R., & Borrell-Damian, L. (2019). Data of European University Association (EUA) Open Access Survey 2017-2018 (Version 1) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3267182  7 Australian National Data Service (ANDS). (2018). Creating a Data Management Framework. Retrieved from: https://www.ands.org.au/guides/creating-a-data-management-framework; Cox, A. M., Kennan, M. A., Lyon, E., Pinfield, S., & Sbaffi, L. (2019). Maturing research data services and the transformation of academic libraries. Journal of Documentation, 75(6), 1432–1462. https://doi.org/10.1108/JD-12-2018-0211; Lyon, L., Ball A., Duke M., & Day, M. (2012). Community Capability Model for Data Intensive Research. Retrieved from https://communitymodel.sharepoint.com/Documents/CCMDIRWhitepaper-v1-0.pdf; and Rans, J., & Whyte, A. (2017). Using RISE the Research Infrastructure Self-Evaluation Framework. Retrieved from http://www.dcc.ac.uk/sites/default/files/documents/publications/UsingRISE_v1_1.pdf 8 Humphrey, C., Shearer, K., & Whitehead, M. (2016). Towards a Collaborative National Research Data Management Network. International Journal of Digital Curation, 11(1), 195. https://doi.org/10.2218/ijdc.v11i1.411  PORTAGE NETWORK / CANADIAN ASSOCIATION OF RESEARCH LIBRARIES 4 The Results  The survey received 85 responses from 77 institutions across Canada9. Eight institutions each submitted two responses, which were combined into one response per institution10. The results below reflect the number of institutions (n=77). Demographics  Preliminary results reveal participation from small, medium and large universities as well as colleges, and research institutes. Figure 1 illustrates the regional responses by type of institution showing wide regional representation with most coming from universities (n=52).   Figure 1. Institution type by region. Count of institutions type (n=77), organized by region. Colour blocks represent institution type: University (52), College/CEGEP (collège d'enseignement général et professionnel; 21), Research Centre (1), Government (3). Derived variables.   9 Not all respondents to this survey participated in the previous RIEG strategy survey; therefore, some tables will reflect differences from results found in the Strategy Survey Executive Summary. 10 The principles for the consolidation are 1). If original values are consistent from the two respondents, the value for the combined case is the same as the originals; 2). Text answers from the original two responses are combined into the value for the combined case; 3). If one of the original values is either "not chosen" or "don't know", the value for the combined case will be the same as the other original value, which is either "chosen" or other affirmative answers, for example, "yes" or "no"; 4). Q7: A higher level of participation from the double entries is assigned to the combined case; 5). Q11: priority number is first averaged from the duplicates, and then reordered accordingly. Arbitrary ordering is only used when two factors happen to have the same average priority score for a combined case, which will not have a significant influence on the aggregated result. We did not find extreme conflicting answers between those respondents within one institution. 914 1415966112051015202530Atlantic Quebec Ontario WestNumber of institutionsRegionGovernmentResearch CentreCollege/CEGEPUniversityPORTAGE NETWORK / CANADIAN ASSOCIATION OF RESEARCH LIBRARIES 5 Organizational involvement in RDM infrastructure and services  Institutional RDM Strategies and Policies When asked to identify the status of institutional RDM strategy development (note that this is separate from institutional policy development) results show that while only 5.1% (n=4) institutions have a full RDM strategy in place at their institution, 44.9% (n=35) institutions indicated they were currently developing a strategy (Figure 2). Another 43.6% (n=34) institutions had no strategy in place at this time.  Despite this fact, it is evident that strategic work is underway in this area in contrast to the much lower level of policy development (Figure 3).    Figure 2. Level of RDM strategy development by institution. (n=77). Q14a. “Does your institution currently have a research data management strategy?”  In other nations, a number of universities have implemented institutional RDM policies as a part of developing institutional strategies11. As part of this survey, an initial question addressed whether or not Canadian institutions have or are in the process of implementing institutional policies as part of their strategic RDM framework.  It was important to clarify and differentiate the development of institutional RDM strategies separate from RDM policy development. On the question of institutional RDM policy development, the outcomes clearly displayed a low level of policy development by a majority of institutions represented in this survey (Figure 3).   11 Digital Curation Centre (DCC). UK institutional data policies. Retrieved from http://www.dcc.ac.uk/resources/policy-and-legal/institutional-data-policies. 434 3513010203040Yes No Under development Don't know Not chosenNumber of institutionsHave RDM strategyPORTAGE NETWORK / CANADIAN ASSOCIATION OF RESEARCH LIBRARIES 6   Figure 3.  Status of RDM policy development. (n=77). Q15a. “Does your institution currently have a research data management policy?”  Internal and external participation in RDM supports and services Respondents were asked to identify departments across campus by current involvement in RDM supports and services (Figure 4). Senior administration, Research Ethics Review Boards, Library and IT departments were either leading or participating in RDM services in a majority of cases.     Figure 4. Count of departmental involvement in RDM activities by type of participation. Institutions (n=77) could select all that applied. Q7. “Which department(s) is/are involved in leading and participating in research data management at your institution?”   6551150102030405060Yes No Under development Not chosenNumber of institutionsHave RDM policy3630131053 31 024323538284210181512612172315332533051015202530354045Library ResearchadministrativebodiesSeniorinstitutionalleadership ormanagementInstitutional ITdepartmentRepresentativesof facultiesResearch EthicsReview BoardFaculty ofGraduate StudiesInstitutional bigdata initiatives/data sciencecenterLegalDepartmentNumber of InstitutionsDepartments leading/participating in RDM at institutionLeading Participating Not participatingPORTAGE NETWORK / CANADIAN ASSOCIATION OF RESEARCH LIBRARIES 7 Externally, institutions are actively involved in a number of regional and national collaborative RDM infrastructure and services. This demonstrates a recognition that collaborative ventures in RDM will help accelerate the development of supports and services to the benefit of organizations of all sizes.   Figure 5. Institutional contributions to external RDM initiatives. Institutions (n=77) could select all that applied.  Q24. “Does your institution partner with or contribute to any of the following research data management initiatives?”  Institutional capacity around infrastructure, support, and skill availability  A major objective of this survey was to obtain a clearer picture of current infrastructure and support available at institutions. Figures 6a-6c show institutions are relying on multiple options to provide support for data storage, access and preservation, although preservation infrastructure is generally lacking. Plans for further detailed analysis and reporting of this data are outlined in the conclusion of this report.    Figure 6a – Active data storage. Institutions (n=77) could select all that applied. Q10. “What research data management infrastructure does your institution have access to? Check all that apply.” 444010 9 1001020304050Regional National International Disciplinary OtherNumber of institutionsExternal collaboration64342827191350 20 40 60 80Researchers are responsible for their own projects/labsThe institution has a centralized infrastructure to supportresearchersDepartments/faculties have the infrastructure to supportresearchersThere is infrastructure support at the regional/consortiallevelResearchers have access to commercial active datastorage servicesOtherDon’t knowNumber of InstitutionsActive data storagePORTAGE NETWORK / CANADIAN ASSOCIATION OF RESEARCH LIBRARIES 8   Figure 6b – Data repository access. Institutions (n=77) could select all that applied. Q10. “What research data management infrastructure does your institution have access to? Check all that apply.”   Figure 6c – Long-term data preservation. Institutions (n=77) could select all that applied. Q10. “What research data management infrastructure does your institution have access to? Check all that apply.”  RDM Support Providers Respondents were asked to identify current RDM supports, both internal and external, which are being utilized on campus. The findings show that libraries are taking an active lead in providing informational, advisory, and curation support services while IT are strongest in providing data computing services, and technical support.   3728272723160 20 40 60 80Researchers use disciplinary/multidisciplinary data repositoriesResearchers use regional or consortial data repositoriesResearchers use journal repositoriesThere is an institutional data repositoryOtherDon’t knowNumber of InstitutionsRepository 28252415111060 20 40 60 80Don't knowOtherThe institution has the infrastructure to support long term datapreservationResearchers use regional consortial infrastructure for long termdata preservationResearchers use national infrastructure for long term datapreservationDepartments/faculties have the infrastructure to support longterm data preservationResearchers use commercial infrastructure for long term datapreservationNumber of InstitutionsPreservation sourcePORTAGE NETWORK / CANADIAN ASSOCIATION OF RESEARCH LIBRARIES 9    Figure 7. RDM Support Providers. Institutions (n=77) could select all that applied. Q13. “Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply.” 49126814325140 10 20 30 40 50LibraryITJoint servicesDisciplinary resourcesRegional consortialNational resourcesCommercial productsPlan to provideInformational website(s) on research data managementSupport providers4191355131210 10 20 30 40 50LibraryITJoint servicesDisciplinary resourcesRegional consortialNational resourcesCommercial productsPlan to provideAdvisory servicesSupport providers630610441260 10 20 30 40 50LibraryITJoint servicesDisciplinary resourcesRegional consortialNational resourcesCommercial productsPlan to provideTechnical support with data encryption, anonymization, etc.Support providers1719814686230 10 20 30 40 50LibraryITJoint servicesDisciplinary resourcesRegional consortialNational resourcesCommercial productsPlan to provideData computing servicesSupport providers3741037200260 10 20 30 40 50LibraryITJoint servicesDisciplinary resourcesRegional consortialNational resourcesCommercial productsPlan to provideGeneral RDM best practices or DMP trainingSupport providers3316110160350 10 20 30 40 50LibraryITJoint servicesDisciplinary resourcesRegional consortialNational resourcesCommercial productsPlan to provideTargeted hands-on RDM workshopsSupport providers392547110260 10 20 30 40 50LibraryITJoint servicesDisciplinary resourcesRegional consortialNational resourcesCommercial productsPlan to provideCuration supportSupport providers1174150250 10 20 30 40 50LibraryITJoint servicesDisciplinary resourcesRegional consortialNational resourcesCommercial productsPlan to provideSpecific financial support to researchersSupport providersPORTAGE NETWORK / CANADIAN ASSOCIATION OF RESEARCH LIBRARIES 10 The survey also gathered information on the current skills levels available at each institution based on recognized RDM supports. A majority of institutions have some skill levels available, however, more skill development either internally or through external collaborations is required.   Figure 8a – “Fully available” RDM Skills availability at the institutional level. Institutions (n=77) could select all that applied. Q12a. “Different skills are needed to further support research data management. At what level are the following skills available at your institution? Check all that apply.”     Figure 8b – “Partially available, but more needed” RDM Skills availability at the institutional level. Institutions (n=77) could select all that applied. Q12a. “Different skills are needed to further support research data management. At what level are the following skills available at your institution? Check all that apply.” 157152018915135422910 10 20 30 40 50LegalTechnical skills - managing sensitive dataData security and risk managementData analysis and visualizationMetadata creationData curationData preservationTechnical skills - e-infrastructuresResearch software developmentResearchers’ operational data managementKnowledge of national policiesAdvisoryOtherFully availableSkills48433938354036382441444500 10 20 30 40 50LegalTechnical skills - managing sensitive dataData security and risk managementData analysis and visualizationMetadata creationData curationData preservationTechnical skills - e-infrastructuresResearch software developmentResearchers’ operational data managementKnowledge of national policiesAdvisoryOtherPartially available, but more neededSkillsPORTAGE NETWORK / CANADIAN ASSOCIATION OF RESEARCH LIBRARIES 11   Figure 8c – “Not available, but needed” RDM Skills availability at the institutional level. Institutions (n=77) could select all that applied. Q12a. “Different skills are needed to further support research data management. At what level are the following skills available at your institution? Check all that apply.”     Figure 8d – “Don’t know” RDM Skills availability at the institutional level. Institutions (n=77) could select all that applied. Q12a. “Different skills are needed to further support research data management. At what level are the following skills available at your institution? Check all that apply.”   81715610171911261851420 5 10 15 20 25 30 35 40 45 50LegalTechnical skills - managing sensitive dataData security and risk managementData analysis and visualizationMetadata creationData curationData preservationTechnical skills - e-infrastructuresResearch software developmentResearchers’ operational data managementKnowledge of national policiesAdvisoryOtherNot available, but neededSkills3861112951320114720 10 20 30 40 50LegalTechnical skills - managing sensitive dataData security and risk managementData analysis and visualizationMetadata creationData curationData preservationTechnical skills - e-infrastructuresResearch software developmentResearchers’ operational data managementKnowledge of national policiesAdvisoryOtherDon't knowSkillsPORTAGE NETWORK / CANADIAN ASSOCIATION OF RESEARCH LIBRARIES 12 Barriers/Challenges  Over 50 institutions identified the following factors as their barriers or challenges to support RDM or FAIR principles: lack of time, limited awareness of RDM benefits, lack of incentives, and lack of funding. They also identified lack of skilled staff with expertise on the topic and researchers' resistance in making data available or sharing data as a major challenge.  Figure 9. Barriers/challenges to supporting RDM/FAIR principles. Institutions (n=77) could select all that applied. Q26. “What are the barriers/challenges for your institution to support research data management and adherence to FAIR principles (i.e. making data Findable, Accessible, Interoperable, and Reusable)? Check all that apply.”    5555535249494847474646453939341440 10 20 30 40 50 60Lack of time to clean and prepare data and metadataLimited awareness of the benefits of RDMAbsence of incentives to promote RDMLack of fundingLack of skilled staff with expertise on the topicResistance to making data available or to share dataLack of awareness raising, including trainingopportunitiesLack of support for researchersLimitations of confidentiality clausesTechnical complexityConcerns over increased costsAbsence of policies or guidelines at the national levelLack of coordination among the relevant actorsDifferent disciplinary practicesConcerns over legal frameworksLack of coordination at the regional or national levelOtherNumber of InstitutionsBarriers/ChallengesPORTAGE NETWORK / CANADIAN ASSOCIATION OF RESEARCH LIBRARIES 13 Institutions were then asked to identify the highest priority resource required in order to streamline RDM at their institution. The need for more human resources was most frequently identified as the highest priority for many institutions, followed by the need for policy guidance and financial resources. Future reporting will examine differences between institution size and type on priority ranking.   Figure 10. Highest priority resources required for RDM (n=77). Q11. “What resources are required at this time to streamline research data management at your institutional level? Please rank them in order of priority.”    291713114 005101520253035HumanresourcesPolicy guidance FinancialresourcesTechnicalresourcesOther Legal guidanceNumber of institutionsResource identified as highest priorityPORTAGE NETWORK / CANADIAN ASSOCIATION OF RESEARCH LIBRARIES 14 Conclusion  This executive summary provides an initial overview of the results of the survey. In the coming months a series of brief reports, entitled ‘Insights’, will be developed from the survey results focusing on key areas of interest. As these reports are released, more in-depth analysis will be provided about the areas in which Canadian institutions may require further support in developing institutional readiness in preparation for the new Tri-Agency requirements with particular attention being paid to the varying scale of institutional size and capacity.  The reports will examine the uniqueness and advantages of the national and collaborative Canadian RDM support model compared with other countries. They will also examine opportunities and existing strengths which can be leveraged. The reports will also contain recommendations identifying guidance, supports or services that Portage and other stakeholders could employ to assist RDM infrastructure and best practices within institutions. These recommendations will be based on the following criteria: ● Areas of infrastructure which institutions are lacking  ● Types of supports necessary for varying scales of institutional capacity, for example, ensuring smaller institutions with less resources are aware of external supports available ● Significant barriers to institutional readiness A follow-up survey should be undertaken within a year of the policy rollout to monitor RDM capacity development.            Appendix  Portage Research Intelligence Expert Group Institutional Research Data Management Services Capacity Survey Data Dictionary, January 2020    16 The Institutional Research Data Management Services Capacity Survey was conducted in order to benchmark current infrastructure capacity within institutions to provide necessary RDM supports when the final Tri-Agency policy is implemented. The survey was administered from September 3, 2019 – October 18, 2019 consisting of 27 questions ranging from general demographic information to detailed listing of current infrastructure in place across institutional stakeholder groups. There were 85 responses from 77 institutions across Canada. This data dictionary contains the responses from the institutions (n = 77). Eight institutions each submitted two responses, which were combined into one response per institution12. To ensure confidentiality, frequencies have been removed from variables marked with an asterisk (*).   General questions about the institution ..................................................................................................... 17 Organization ................................................................................................................................................. 18 Infrastructure ............................................................................................................................................... 21 Resources ...................................................................................................................................................... 31 Skills .............................................................................................................................................................. 33 Support ......................................................................................................................................................... 36 Institutional Strategy and Policies ............................................................................................................... 52 Business plans and sustainability ................................................................................................................ 57 Collaboration ................................................................................................................................................ 59 Awareness .................................................................................................................................................... 60 Barriers and challenges ................................................................................................................................ 62 Potential accelerator .................................................................................................................................... 65 Derived variables .......................................................................................................................................... 66  12 The principles for the consolidation are 1). If original values are consistent from the two respondents, the value for the combined case is the same as the originals; 2). Text answers from the original two responses are combined into the value for the combined case;3). If one of the original values is either "not chosen" or "don't know", the value for the combined case will be the same as the other original value, which is either "chosen" or other affirmative answers, for example, "yes" or "no"; 4). Q7: A higher level of participation from the double entries is assigned to the combined case; 5). Q11: priority number is first averaged from the duplicates, and then reordered accordingly. Arbitrary ordering is only used when two factors happen to have the same average priority score for a combined case, which will not have a significant influence on the aggregated result. We did not find extreme conflicting answers between those respondents within one institution. 17 General questions about the institution Variable name Q1_Inst*     Variable label [Q1] Name of institution     Survey question Name of institution     Value label Value description     [many] [string]             Variable name Q2_Prov*     Variable label [Q2] Province     Survey question Location of institution (province/territory) Value label Value description     [many] [string]             Variable name Q3_Cat     Variable label [Q3] Category of institution Survey question Type of institution (select most appropriate) Value label Value description Count Percent 1 Medical/Doctoral 13 16.9% 2 Comprehensive 26 33.8% 3 Primarily Undergraduate 16 20.8% 4 Other 22 28.6% 99 Not declared 0 0.0%         Variable name Q3_CatO*     Variable label [Q3] Category of institution - Other Survey question Type of institution (select most appropriate) Other Value label Value description     [many] [string]             Variable name Q4_FTE     Variable label [Q4] Number of research faculty (FTE) at the institution Survey question Number of research faculty (FTE) at the institution Value label Value description Count Percent 1 <100 0 0.0% 2 100-499 23 29.9% 3 500-1000 10 13.0% 4 >1000 1 1.3% 99 Not declared 43 55.8%         Variable name Q5_Aff*     Variable label [Q5] Affiliations Survey question What are the affiliation(s) of respondents to this survey? Check all that apply. Value label Value description       Library       Research Office     18   CIO       Ethics Board       Researchers       IT       Other             Variable name Q5_AffOtherT*     Variable label [Q5] Affiliations - Other [text] Survey question What are the affiliation(s) of respondents to this survey? Check all that apply. Other Value label Value description     [many] [string]             Variable name Q6_Position*     Variable label [Q6] Position Title Survey question What is your position title? Value label Value description     [many] [string]     Organization Variable name Q7_DeptGrad     Variable label [Q7] Departments leading/participating in RDM at institution - Faculty of Graduate Studies Survey question Which department(s)is/are involved in leading and participating in research data management at your institution? Value label Value description Count Percent 1 Leading 3 3.9% 2 Participating 10 13.0% 3 Not participating 33 42.9% 4 Don't know 11 14.3% 99 Not chosen 20 26.0%         Variable name Q7_DeptBigData     Variable label [Q7] Departments leading/participating in RDM at institution - Institutional big data initiatives/data science center Survey question Which department(s) is/are involved in leading and participating in research data management at your institution? Value label Value description Count Percent 1 Leading 1 1.3% 2 Participating 18 23.4% 3 Not participating 25 32.5% 4 Don't know 13 16.9% 99 Not chosen 20 26.0%         Variable name Q7_DeptIT     Variable label [Q7] Departments leading/participating in RDM at institution - Institutional IT department Survey question Which department(s) is/are involved in leading and participating in research data management at your institution? Value label Value description Count Percent 19 1 Leading 10 13.0% 2 Participating 38 49.4% 3 Not participating 17 22.1% 4 Don't know 4 5.2% 99 Not chosen 8 10.4%         Variable name Q7_DeptLegal     Variable label [Q7] Departments leading/participating in RDM at institution - Legal Department Survey question Which department(s) is/are involved in leading and participating in research data management at your institution? Value label Value description Count Percent 1 Leading 0 0.0% 2 Participating 15 19.5% 3 Not participating 33 42.9% 4 Don't know 11 14.3% 99 Not chosen 18 23.4%         Variable name Q7_DeptLib     Variable label [Q7] Departments leading/participating in RDM at institution - Library Survey question Which department(s) is/are involved in leading and participating in research data management at your institution? Value label Value description Count Percent 1 Leading 36 46.8% 2 Participating 24 31.2% 3 Not participating 12 15.6% 4 Don't know 0 0.0% 99 Not chosen 5 6.5%         Variable name Q7_DeptFaculties     Variable label [Q7] Departments leading/participating in RDM at institution - Representatives of faculties Survey question Which department(s) is/are involved in leading and participating in research data management at your institution? Value label Value description Count Percent 1 Leading 5 6.5% 2 Participating 28 36.4% 3 Not participating 23 29.9% 4 Don't know 7 9.1% 99 Not chosen 14 18.2%         Variable name Q7_DeptResAdmin     Variable label [Q7] Departments leading/participating in RDM at institution - Research administrative bodies Survey question Which department(s) is/are involved in leading and participating in research data management at your institution? Value label Value description Count Percent 1 Leading 30 39.0% 2 Participating 32 41.6% 3 Not participating 6 7.8% 20 4 Don't know 3 3.9% 99 Not chosen 6 7.8%         Variable name Q7_DeptEthics     Variable label [Q7] Departments leading/participating in RDM at institution - Research Ethics Review Board Survey question Which department(s) is/are involved in leading and participating in research data management at your institution? Value label Value description Count Percent 1 Leading 3 3.9% 2 Participating 42 54.5% 3 Not participating 15 19.5% 4 Don't know 4 5.2% 99 Not chosen 13 16.9%         Variable name Q7_DeptSenioeMg     Variable label [Q7] Departments leading/participating in RDM at institution - Senior institutional leadership or management Survey question Which department(s) is/are involved in leading and participating in research data management at your institution? Value label Value description Count Percent 1 Leading 13 16.9% 2 Participating 35 45.5% 3 Not participating 12 15.6% 4 Don't know 3 3.9% 99 Not chosen 14 18.2%         Variable name Q7_DeptOther     Variable label [Q7] Departments leading/participating in RDM at institution - Other Survey question Which department(s) is/are involved in leading and participating in research data management at your institution? Value label Value description Count Percent 1 Leading 5 6.5% 2 Participating 10 13.0% 3 Not participating 2 2.6% 4 Don't know 7 9.1% 99 Not chosen 53 68.8%         Variable name Q7_DeptOtherT*     Variable label [Q7] Departments leading/participating in RDM at institution - Other [text] Survey question If you selected ‘Other’ above, please elaborate as appropriate. Value label Value description     [many] [string]             Variable name Q8_DMPCreate*     Variable label [Q8] Data management positions created or reassigned 21 Survey question What data management positions (if any) have your institution created or reassigned (please provide associated job titles)? (for example, data management coordinator, data protection officer, data management librarian, data curation specialist, data managers, or data scientists) Value label Value description     [many] [string]             Variable name Q9_Stakeholders*     Variable label [Q9] Different stakeholders within institution working collaboratively to tackle RDM challenges Survey question How are different stakeholders within your institution working collaboratively to tackle research data management challenges? (for example, cross-campus working group, Research Data Management steering committee, responsibility is spread across multiple departments, etc.) Value label Value description     [many] [string]     Infrastructure Variable name Q10a_InfraActiveRes     Variable label [Q10a] Active data storage services - Researchers are responsible for their own projects/labs Survey question What research data management infrastructure does your institution have access to? Check all that apply. Active data storage services (storage used during the actual research process) Value label Value description Count Percent 0 Not chosen 13 16.9% 1 Chosen 64 83.1%         Variable name Q10a_InfraActiveDept     Variable label [Q10a] Active data storage services - Departments/faculties have the infrastructure to support researchers Survey question What research data management infrastructure does your institution have access to? Check all that apply. Active data storage services (storage used during the actual research process) Value label Value description Count Percent 0 Not chosen 49 63.6% 1 Chosen 28 36.4%         Variable name Q10a_InfraActiveCentral     Variable label [Q10a] Active data storage services - The institution has a centralized infrastructure to support researchers Survey question What research data management infrastructure does your institution have access to? Check all that apply. Active data storage services (storage used during the actual research process) Value label Value description Count Percent 0 Not chosen 43 55.8% 1 Chosen 34 44.2%         Variable name Q10a_InfraActiveReg     Variable label [Q10a] Active data storage services - There is infrastructure support at the regional/consortial level 22 Survey question What research data management infrastructure does your institution have access to? Check all that apply. Active data storage services (storage used during the actual research process) Value label Value description Count Percent 0 Not chosen 50 64.9% 1 Chosen 27 35.1%         Variable name Q10a_InfraActiveCom     Variable label [Q10a] Active data storage services - Researchers have access to commercial active data storage services Survey question What research data management infrastructure does your institution have access to? Check all that apply. Active data storage services (storage used during the actual research process) Value label Value description Count Percent 0 Not chosen 58 75.3% 1 Chosen 19 24.7%         Variable name Q10a_InfraActiveOther     Variable label [Q10a] Active data storage services - Other Survey question What research data management infrastructure does your institution have access to? Check all that apply. Active data storage services (storage used during the actual research process) Value label Value description Count Percent 0 Not chosen 64 83.1% 1 Chosen 13 16.9%         Variable name Q10a_InfraActiveOtherT*     Variable label [Q10a] Active data storage services - Other [text] Survey question Active data storage services (storage used during the actual research process) Other Value label Value description     [many] [string]             Variable name Q10a_InfraActiveDK     Variable label [Q10a] Active data storage services - Don’t know Survey question What research data management infrastructure does your institution have access to? Check all that apply. Active data storage services (storage used during the actual research process) Value label Value description Count Percent 0 Not chosen 72 93.5% 1 Chosen 5 6.5%         Variable name Q10b_InfraRepInst     Variable label [Q10b] Data repository - There is an institutional data repository Survey question What research data management infrastructure does your institution have access to? Check all that apply. Data repository (where data are deposited/published for discovery and/or appropriate access) Value label Value description Count Percent 0 Not chosen 50 64.9% 23 1 Chosen 27 35.1%         Variable name Q10b_InfraRepDis     Variable label [Q10b] Data repository - Researchers use disciplinary/multidisciplinary data repositories Survey question What research data management infrastructure does your institution have access to? Check all that apply. Data repository (where data are deposited/published for discovery and/or appropriate access) Value label Value description Count Percent 0 Not chosen 40 51.9% 1 Chosen 37 48.1%         Variable name Q10b_InfraRepReg     Variable label [Q10b] Data repository - Researchers use regional or consortial data repositories Survey question What research data management infrastructure does your institution have access to? Check all that apply. Data repository (where data are deposited/published for discovery and/or appropriate access) Value label Value description Count Percent 0 Not chosen 49 63.6% 1 Chosen 28 36.4%         Variable name Q10b_InfraRepNat     Variable label [Q10b] Data repository - Researchers use a national level data repository Survey question What research data management infrastructure does your institution have access to? Check all that apply. Data repository (where data are deposited/published for discovery and/or appropriate access) Value label Value description Count Percent 0 Not chosen 63 81.8% 1 Chosen 14 18.2%         Variable name Q10b_InfraRepJour     Variable label [Q10b] Data repository - Researchers use journal repositories Survey question 33 Value label Value description Count Percent 0 Not chosen 50 64.9% 1 Chosen 27 35.1%         Variable name Q10b_InfraRepOther     Variable label [Q10b] Data repository - Other Survey question What research data management infrastructure does your institution have access to? Check all that apply. Data repository (where data are deposited/published for discovery and/or appropriate access) Value label Value description Count Percent 0 Not chosen 54 70.1% 1 Chosen 23 29.9%         Variable name Q10b_InfraRepOtherT*     Variable label [Q10b] Data repository - Other [text] 24 Survey question Data repository (where data are deposited/published for discovery and/or appropriate access) Other Value label Value description     [many] [string]             Variable name Q10b_InfraRepDK     Variable label [Q10b] Data repository - Don’t know Survey question What research data management infrastructure does your institution have access to? Check all that apply. Data repository (where data are deposited/published for discovery and/or appropriate access) Value label Value description Count Percent 0 Not chosen 61 79.2% 1 Chosen 16 20.8%         Variable name Q10c_InfraLongDept     Variable label [Q10c] Long term data preservation - Departments/faculties have the infrastructure to support long term data preservation Survey question What research data management infrastructure does your institution have access to? Check all that apply. Long term data preservation (the process through which some data may be stored for the longer term post project) Value label Value description Count Percent 0 Not chosen 67 87.0% 1 Chosen 10 13.0%         Variable name Q10c_InfraLongInst     Variable label [Q10c] Long term data preservation - The institution has the infrastructure to support long term data preservation Survey question What research data management infrastructure does your institution have access to? Check all that apply. Long term data preservation (the process through which some data may be stored for the longer term post project) Value label Value description Count Percent 0 Not chosen 53 68.8% 1 Chosen 24 31.2%         Variable name Q10c_InfraLongReg     Variable label [Q10c] Long term data preservation - Researchers use regional consortial infrastructure for long term data preservation Survey question What research data management infrastructure does your institution have access to? Check all that apply. Long term data preservation (the process through which some data may be stored for the longer term post project) Value label Value description Count Percent 0 Not chosen 62 80.5% 1 Chosen 15 19.5%         Variable name Q10c_InfraLongNat     25 Variable label [Q10c] Long term data preservation - Researchers use national infrastructure for long term data preservation Survey question What research data management infrastructure does your institution have access to? Check all that apply. Long term data preservation (the process through which some data may be stored for the longer term post project) Value label Value description Count Percent 0 Not chosen 66 85.7% 1 Chosen 11 14.3%         Variable name Q10c_InfraLongCom     Variable label [Q10c] Long term data preservation - Researchers use commercial infrastructure for long term data preservation Survey question What research data management infrastructure does your institution have access to? Check all that apply. Long term data preservation (the process through which some data may be stored for the longer term post project) Value label Value description Count Percent 0 Not chosen 71 92.2% 1 Chosen 6 7.8%         Variable name Q10c_InfraLongOther     Variable label [Q10c] Long term data preservation - Other Survey question What research data management infrastructure does your institution have access to? Check all that apply. Long term data preservation (the process through which some data may be stored for the longer term post project) Value label Value description Count Percent 0 Not chosen 52 67.5% 1 Chosen 25 32.5%         Variable name Q10c_InfraLongOtherT*     Variable label [Q10c] Long term data preservation - Other [text] Survey question Long term data preservation (the process through which some data may be stored for the longer term post project) Other Value label Value description     [many] [string]             Variable name Q10c_InfraLongDK     Variable label [Q10c] Long term data preservation - Don't know Survey question What research data management infrastructure does your institution have access to? Check all that apply. Long term data preservation (the process through which some data may be stored for the longer term post project) Value label Value description Count Percent 0 Not chosen 49 63.6% 1 Chosen 28 36.4%         26 Variable name Q10d_InfraTranU5Int     Variable label [Q10d] Data transfer (data up to 5GB) - The institution has an internal data transfer mechanism Survey question What research data management infrastructure does your institution have access to? Check all that apply. Data transfer (for data size up to 5 GB) Value label Value description Count Percent 0 Not chosen 56 72.7% 1 Chosen 21 27.3%         Variable name Q10d_InfraTranU5Res     Variable label [Q10d] Data transfer (data up to 5GB) - Researchers have access to an external data transfer mechanism Survey question What research data management infrastructure does your institution have access to? Check all that apply. Data transfer (for data size up to 5 GB) Value label Value description Count Percent 0 Not chosen 63 81.8% 1 Chosen 14 18.2%         Variable name Q10d_InfraTranU5ResT*     Variable label [Q10d] Data transfer (data up to 5GB) - Researchers have access to an external data transfer mechanism [text] Survey question What research data management infrastructure does your institution have access to? Check all that apply. Data transfer (for data size up to 5 GB) Value label Value description     [many] [string]             Variable name Q10d_InfraTranU5Other     Variable label [Q10d] Data transfer (data up to 5GB) - Other Survey question What research data management infrastructure does your institution have access to? Check all that apply. Data transfer (for data size up to 5 GB) Value label Value description Count Percent 0 Not chosen 65 84.4% 1 Chosen 12 15.6%         Variable name Q10d_InfraTranU5OtherT*     Variable label [Q10d] Data transfer (data up to 5GB) - Other [text] Survey question What research data management infrastructure does your institution have access to? Check all that apply. Data transfer (for data size up to 5 GB) Value label Value description     [many] [string]             Variable name Q10d_InfraTranU5DK     Variable label [Q10d] Data transfer (data up to 5GB) - Don't know 27 Survey question What research data management infrastructure does your institution have access to? Check all that apply. Data transfer (for data size up to 5 GB) Value label Value description Count Percent 0 Not chosen 42 54.5% 1 Chosen 35 45.5%         Variable name Q10e_InfraTranO5Int     Variable label [Q10e] Data transfer (data over 5GB) - The institution has an internal data transfer mechanism Survey question What research data management infrastructure does your institution have access to? Check all that apply. Data transfer (for data size over 5 GB) Value label Value description Count Percent 0 Not chosen 60 77.9% 1 Chosen 17 22.1%         Variable name Q10e_InfraTranO5Res     Variable label [Q10e] Data transfer (data over 5GB) - Researchers have access to an external data transfer mechanism Survey question What research data management infrastructure does your institution have access to? Check all that apply. Data transfer (for data size over 5 GB) Value label Value description Count Percent 0 Not chosen 65 84.4% 1 Chosen 12 15.6%         Variable name Q10e_InfraTranO5ResT*     Variable label [Q10e] Data transfer (data over 5GB) - Researchers have access to an external data transfer mechanism [text] Survey question What research data management infrastructure does your institution have access to? Check all that apply. Data transfer (for data size over 5 GB) Value label Value description     [many] [string]             Variable name Q10e_InfraTranO5Other     Variable label [Q10e] Data transfer (data over 5GB) - Other Survey question What research data management infrastructure does your institution have access to? Check all that apply. Data transfer (for data size over 5 GB) Value label Value description Count Percent 0 Not chosen 62 80.5% 1 Chosen 15 19.5%         Variable name Q10e_InfraTranO5OtherT*     Variable label [Q10e] Data transfer (data over 5GB) - Other [text] 28 Survey question What research data management infrastructure does your institution have access to? Check all that apply. Data transfer (for data size over 5 GB) Value label Value description     [many] [string]             Variable name Q10e_InfraTranO5DK     Variable label [Q10e] Data transfer (data over 5GB) - Don't know Survey question What research data management infrastructure does your institution have access to? Check all that apply. Data transfer (for data size over 5 GB) Value label Value description Count Percent 0 Not chosen 43 55.8% 1 Chosen 34 44.2%         Variable name Q10f_InfraSenInt     Variable label [Q10f] Infrastructure for sensitive data - The institution has internal supports in place Survey question 51 Value label Value description Count Percent 0 Not chosen 48 62.3% 1 Chosen 29 37.7%         Variable name Q10f_InfraSenExt     Variable label [Q10f] Infrastructure for sensitive data - Researchers have access to external support Survey question What research data management infrastructure does your institution have access to? Check all that apply. Infrastructure for sensitive data Value label Value description Count Percent 0 Not chosen 74 96.1% 1 Chosen 3 3.9%         Variable name Q10f_InfraSenExtT*     Variable label [Q10f] Infrastructure for sensitive data - Researchers have access to external support [text] Survey question What research data management infrastructure does your institution have access to? Check all that apply. Infrastructure for sensitive data Value label Value description     [many] [string]             Variable name Q10f_InfraSenOther     Variable label [Q10f] Infrastructure for sensitive data - Other Survey question What research data management infrastructure does your institution have access to? Check all that apply. Infrastructure for sensitive data Value label Value description Count Percent 0 Not chosen 66 85.7% 1 Chosen 11 14.3% 29         Variable name Q10f_InfraSenOtherT*     Variable label [Q10f] Infrastructure for sensitive data - Other [text] Survey question What research data management infrastructure does your institution have access to? Check all that apply. Infrastructure for sensitive data Value label Value description     [many] [string]             Variable name Q10f_InfraSenNo     Variable label [Q10f] Infrastructure for sensitive data - No known support Survey question What research data management infrastructure does your institution have access to? Check all that apply. Infrastructure for sensitive data Value label Value description Count Percent 0 Not chosen 53 68.8% 1 Chosen 24 31.2%         Variable name Q10f_InfraSenDK     Variable label [Q10f] Infrastructure for sensitive data - Don’t know Survey question What research data management infrastructure does your institution have access to? Check all that apply. Infrastructure for sensitive data Value label Value description Count Percent 0 Not chosen 58 75.3% 1 Chosen 19 24.7%         Variable name Q10g_InfraOtherHPC     Variable label [Q10g] Other RDM infrastructure - Researchers have access to institutional High-Performance Computing infrastructure Survey question What research data management infrastructure does your institution have access to? Check all that apply. Other research data management infrastructures Value label Value description Count Percent 0 Not chosen 46 59.7% 1 Chosen 31 40.3%         Variable name Q10g_InfraOtherColl     Variable label [Q10g] Other RDM infrastructure - The institution supports research collaboration tools Survey question What research data management infrastructure does your institution have access to? Check all that apply. Other research data management infrastructures Value label Value description Count Percent 0 Not chosen 61 79.2% 1 Chosen 16 20.8%         Variable name Q10g_InfraOtherELN     30 Variable label [Q10g] Other RDM infrastructure - The institution supports researchers’ access to Electronic Lab Notebooks Survey question What research data management infrastructure does your institution have access to? Check all that apply. Other research data management infrastructures Value label Value description Count Percent 0 Not chosen 72 93.5% 1 Chosen 5 6.5%         Variable name Q10g_InfraOtherEDC     Variable label [Q10g] Other RDM infrastructure - The institution supports researchers’ access to electronic data collection tools Survey question What research data management infrastructure does your institution have access to? Check all that apply. Other research data management infrastructures Value label Value description Count Percent 0 Not chosen 50 64.9% 1 Chosen 27 35.1%         Variable name Q10g_InfraOtherQuan     Variable label [Q10g] Other RDM infrastructure - The institution supports researchers’ access to commercial quantitative research software Survey question What research data management infrastructure does your institution have access to? Check all that apply. Other research data management infrastructures Value label Value description Count Percent 0 Not chosen 27 35.1% 1 Chosen 50 64.9%         Variable name Q10g_InfraOtherQual     Variable label [Q10g] Other RDM infrastructure - The institution supports researchers’ access to commercial qualitative research software Survey question What research data management infrastructure does your institution have access to? Check all that apply. Other research data management infrastructures Value label Value description Count Percent 0 Not chosen 40 51.9% 1 Chosen 37 48.1%         Variable name Q10g_InfraOtherOther     Variable label [Q10g] Other RDM infrastructure - Other Survey question What research data management infrastructure does your institution have access to? Check all that apply. Other research data management infrastructures Value label Value description Count Percent 0 Not chosen 56 72.7% 1 Chosen 21 27.3%         31 Variable name Q10g_InfraOtherOtherT*     Variable label [Q10g] Other RDM infrastructure - Other [text] Survey question What research data management infrastructure does your institution have access to? Check all that apply. Other research data management infrastructures Value label Value description     [many] [string]             Variable name Q10g_InfraOtherDK     Variable label [Q10g] Other RDM infrastructure - Don't know Survey question What research data management infrastructure does your institution have access to? Check all that apply. Other research data management infrastructures Value label Value description Count Percent 0 Not chosen 64 83.1% 1 Chosen 13 16.9%  Resources Variable name Q11_ResHuman     Variable label [Q11] Resources required to streamline RDM at institution - Human resources Survey question What resources are required at this time to streamline research data management at your institutional level? Please rank them in order of priority. Value label Value description Count Percent 1 1 - Highest priority 29 37.7% 2 2 19 24.7% 3 3 10 13.0% 4 4 6 7.8% 5 5 2 2.6% 6 6 - lowest priority 3 3.9% 99 Not chosen 8 10.4%         Variable name Q11_ResPolicy     Variable label [Q11] Resources required to streamline RDM at institution - Policy guidance Survey question What resources are required at this time to streamline research data management at your institutional level? Please rank them in order of priority. Value label Value description Count Percent 1 1 - Highest priority 17 22.1% 2 2 11 14.3% 3 3 15 19.5% 4 4 12 15.6% 5 5 15 19.5% 6 6 - lowest priority 2 2.6% 99 Not chosen 5 6.5%         Variable name Q11_ResLegal     32 Variable label [Q11] Resources required to streamline RDM at institution - Legal guidance Survey question What resources are required at this time to streamline research data management at your institutional level? Please rank them in order of priority. Value label Value description Count Percent 1 1 - Highest priority 0 0.0% 2 2 3 3.9% 3 3 8 10.4% 4 4 20 26.0% 5 5 40 51.9% 6 6 - lowest priority 1 1.3% 99 Not chosen 5 6.5%         Variable name Q11_ResFin     Variable label [Q11] Resources required to streamline RDM at institution - Financial resources Survey question What resources are required at this time to streamline research data management at your institutional level? Please rank them in order of priority. Value label Value description Count Percent 1 1 - Highest priority 13 16.9% 2 2 27 35.1% 3 3 11 14.3% 4 4 15 19.5% 5 5 6 7.8% 6 6 - lowest priority 2 2.6% 99 Not chosen 3 3.9%         Variable name Q11_ResTech     Variable label [Q11] Resources required to streamline RDM at institution - Technical resources Survey question What resources are required at this time to streamline research data management at your institutional level? Please rank them in order of priority. Value label Value description Count Percent 1 1 - Highest priority 11 14.3% 2 2 14 18.2% 3 3 28 36.4% 4 4 17 22.1% 5 5 5 6.5% 6 6 - lowest priority 1 1.3% 99 Not chosen 1 1.3%         Variable name Q11_ResOther     Variable label [Q11] Resources required to streamline RDM at institution - Other Survey question What resources are required at this time to streamline research data management at your institutional level? Please rank them in order of priority. Value label Value description Count Percent 1 1 - Highest priority 4 5.2% 2 2 0 0.0% 3 3 0 0.0% 4 4 0 0.0% 33 5 5 0 0.0% 6 6 - lowest priority 5 6.5% 99 Not chosen 68 88.3%         Variable name Q11_ResOtherT*     Variable label [Q11] Resources required to streamline RDM at institution - Other [text] Survey question If you selected ‘Other’ above, please elaborate Value label Value description     [many] [string]     Skills Variable name Q12_SkillLegal     Variable label [Q12] Level skills available at institution - Legal skills (licensing, Intellectual Property, etc Survey question Different skills are needed to further support research data management. At what level are the following skills available at your institution? Check all that apply. Value label Value description Count Percent 1 Fully available 15 19.5% 2 Partially available, but more needed 48 62.3% 3 Not available, but needed 8 10.4% 4 Don't know 3 3.9% 99 Not chosen 3 3.9%         Variable name Q12_SkillTech     Variable label [Q12] Level skills available at institution - Technical skills in managing sensitive data Survey question Different skills are needed to further support research data management. At what level are the following skills available at your institution? Check all that apply. Value label Value description Count Percent 1 Fully available 7 9.1% 2 Partially available, but more needed 43 55.8% 3 Not available, but needed 17 22.1% 4 Don't know 8 10.4% 99 Not chosen 2 2.6%         Variable name Q12_SkillDataSec     Variable label [Q12] Level skills available at institution - Data security and risk management skills Survey question Different skills are needed to further support research data management. At what level are the following skills available at your institution? Check all that apply. Value label Value description Count Percent 1 Fully available 15 19.5% 2 Partially available, but more needed 39 50.6% 3 Not available, but needed 15 19.5% 4 Don't know 6 7.8% 99 Not chosen 2 2.6%         Variable name Q12_SkillAnalysis     Variable label [Q12] Level skills available at institution - Data analysis and visualization skills 34 Survey question Different skills are needed to further support research data management. At what level are the following skills available at your institution? Check all that apply. Value label Value description Count Percent 1 Fully available 20 26.0% 2 Partially available, but more needed 38 49.4% 3 Not available, but needed 6 7.8% 4 Don't know 11 14.3% 99 Not chosen 2 2.6%         Variable name Q12_SkillMetadata     Variable label [Q12] Level skills available at institution - Metadata creation skills Survey question Different skills are needed to further support research data management. At what level are the following skills available at your institution? Check all that apply. Value label Value description Count Percent 1 Fully available 18 23.4% 2 Partially available, but more needed 35 45.5% 3 Not available, but needed 10 13.0% 4 Don't know 12 15.6% 99 Not chosen 2 2.6%         Variable name Q12_SkillCuration     Variable label [Q12] Level skills available at institution - Data curation skills Survey question Different skills are needed to further support research data management. At what level are the following skills available at your institution? Check all that apply. Value label Value description Count Percent 1 Fully available 9 11.7% 2 Partially available, but more needed 40 51.9% 3 Not available, but needed 17 22.1% 4 Don't know 9 11.7% 99 Not chosen 2 2.6%         Variable name Q12_SkillPres     Variable label [Q12] Level skills available at institution - Data preservation skills Survey question Different skills are needed to further support research data management. At what level are the following skills available at your institution? Check all that apply. Value label Value description Count Percent 1 Fully available 15 19.5% 2 Partially available, but more needed 36 46.8% 3 Not available, but needed 19 24.7% 4 Don't know 5 6.5% 99 Not chosen 2 2.6%         Variable name Q12_SkillEInfra     Variable label [Q12] Level skills available at institution - Technical skills in the area of e-infrastructures Survey question Different skills are needed to further support research data management. At what level are the following skills available at your institution? Check all that apply. Value label Value description Count Percent 35 1 Fully available 13 16.9% 2 Partially available, but more needed 38 49.4% 3 Not available, but needed 11 14.3% 4 Don't know 13 16.9% 99 Not chosen 2 2.6%         Variable name Q12_SkillSoftware     Variable label [Q12] Level skills available at institution - Research software development skills Survey question Different skills are needed to further support research data management. At what level are the following skills available at your institution? Check all that apply. Value label Value description Count Percent 1 Fully available 5 6.5% 2 Partially available, but more needed 24 31.2% 3 Not available, but needed 26 33.8% 4 Don't know 20 26.0% 99 Not chosen 2 2.6%         Variable name Q12_SkillRes     Variable label [Q12] Level skills available at institution - Researchers’ operational data management skills Survey question Different skills are needed to further support research data management. At what level are the following skills available at your institution? Check all that apply. Value label Value description Count Percent 1 Fully available 4 5.2% 2 Partially available, but more needed 41 53.2% 3 Not available, but needed 18 23.4% 4 Don't know 11 14.3% 99 Not chosen 3 3.9%         Variable name Q12_SkillNatPolicy     Variable label [Q12] Level skills available at institution - Knowledge of national policies Survey question Different skills are needed to further support research data management. At what level are the following skills available at your institution? Check all that apply. Value label Value description Count Percent 1 Fully available 22 28.6% 2 Partially available, but more needed 44 57.1% 3 Not available, but needed 5 6.5% 4 Don't know 4 5.2% 99 Not chosen 2 2.6%         Variable name Q12_SkillAdvisor     Variable label [Q12] Level skills available at institution - Advisory skills on technical, organizational and operational matters Survey question Different skills are needed to further support research data management. At what level are the following skills available at your institution? Check all that apply. Value label Value description Count Percent 1 Fully available 9 11.7% 2 Partially available, but more needed 45 58.4% 36 3 Not available, but needed 14 18.2% 4 Don't know 7 9.1% 99 Not chosen 2 2.6%         Variable name Q12_SkillOther     Variable label [Q12] Level skills available at institution - Other Survey question Different skills are needed to further support research data management. At what level are the following skills available at your institution? Check all that apply. Value label Value description Count Percent 1 Fully available 1 1.3% 2 Partially available, but more needed 0 0.0% 3 Not available, but needed 2 2.6% 4 Don't know 2 2.6% 99 Not chosen 72 93.5%         Variable name Q12_SkillOtherT*     Variable label [Q12] Level skills available at institution - Other [text] Survey question If you selected ‘Other’ above, please elaborate Value label Value description     [many] [string]      Support Variable name Q13_SuppWebLib     Variable label [Q13] Units or products support services - Informational website(s) on research data management: Library Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 28 36.4% 1 Chosen 49 63.6%         Variable name Q13_SuppWebIT     Variable label [Q13] Units or products support services - Informational website(s) on research data management: IT Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 65 84.4% 1 Chosen 12 15.6%         Variable name Q13_SuppWebJoint     37 Variable label [Q13] Units or products support services - Informational website(s) on research data management: Joint services Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 71 92.2% 1 Chosen 6 7.8%         Variable name Q13_SuppWebDis     Variable label [Q13] Units or products support services - Informational website(s) on research data management: Disciplinary resources Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 69 89.6% 1 Chosen 8 10.4%         Variable name Q13_SuppWebReg     Variable label [Q13] Units or products support services - Informational website(s) on research data management: Regional consortial Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 63 81.8% 1 Chosen 14 18.2%         Variable name Q13_SuppWebNat     Variable label [Q13] Units or products support services - Informational website(s) on research data management: National resources Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 45 58.4% 1 Chosen 32 41.6%         Variable name Q13_SuppWebComm     Variable label [Q13] Units or products support services - Informational website(s) on research data management: Commercial products Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open 38 platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 72 93.5% 1 Chosen 5 6.5%         Variable name Q13_SuppWebPlan     Variable label [Q13] Units or products support services - Informational website(s) on research data management: Plan to provide Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 63 81.8% 1 Chosen 14 18.2%         Variable name Q13_SuppAdvLib     Variable label [Q13] Units or products support services - Advisory services: Library Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 36 46.8% 1 Chosen 41 53.2%         Variable name Q13_SuppAdvIT     Variable label [Q13] Units or products support services - Advisory services : IT Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 68 88.3% 1 Chosen 9 11.7%         Variable name Q13_SuppAdvJoint     Variable label [Q13] Units or products support services - Advisory services : Joint services Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 64 83.1% 1 Chosen 13 16.9%         Variable name Q13_SuppAdvDis     39 Variable label [Q13] Units or products support services - Advisory services : Disciplinary resources Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 72 93.5% 1 Chosen 5 6.5%         Variable name Q13_SuppAdvReg     Variable label [Q13] Units or products support services - Advisory services : Regional consortial Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 72 93.5% 1 Chosen 5 6.5%         Variable name Q13_SuppAdvNat     Variable label [Q13] Units or products support services - Advisory services : National resources Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 64 83.1% 1 Chosen 13 16.9%         Variable name Q13_SuppAdvComm     Variable label [Q13] Units or products support services - Advisory services : Commercial products Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 76 98.7% 1 Chosen 1 1.3%         Variable name Q13_SuppAdvPlan     Variable label [Q13] Units or products support services - Advisory services : Plan to provide Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 56 72.7% 1 Chosen 21 27.3% 40         Variable name Q13_SuppTechLib     Variable label [Q13] Units or products support services - Technical support with data encryption, anonymization, etc.: Library Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 71 92.2% 1 Chosen 6 7.8%         Variable name Q13_SuppTechIT     Variable label [Q13] Units or products support services - Technical support with data encryption, anonymization, etc.: IT Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 47 61.0% 1 Chosen 30 39.0%         Variable name Q13_SuppTechJoint     Variable label [Q13] Units or products support services - Technical support with data encryption, anonymization, etc.: Joint services Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 71 92.2% 1 Chosen 6 7.8%         Variable name Q13_SuppTechDis     Variable label [Q13] Units or products support services - Technical support with data encryption, anonymization, etc.: Disciplinary resources Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 67 87.0% 1 Chosen 10 13.0%         Variable name Q13_SuppTechReg     Variable label [Q13] Units or products support services - Technical support with data encryption, anonymization, etc.: Regional consortial 41 Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 73 94.8% 1 Chosen 4 5.2%         Variable name Q13_SuppTechNat     Variable label [Q13] Units or products support services - Technical support with data encryption, anonymization, etc.: National resources Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 73 94.8% 1 Chosen 4 5.2%         Variable name Q13_SuppTechComm     Variable label [Q13] Units or products support services - Technical support with data encryption, anonymization, etc.: Commercial products Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 76 98.7% 1 Chosen 1 1.3%         Variable name Q13_SuppTechPlan     Variable label [Q13] Units or products support services - Technical support with data encryption, anonymization, etc.: Plan to provide Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 51 66.2% 1 Chosen 26 33.8%         Variable name Q13_SuppComLib     Variable label [Q13] Units or products support services - Data computing services: Library Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 42 0 Not chosen 60 77.9% 1 Chosen 17 22.1%         Variable name Q13_SuppComIT     Variable label [Q13] Units or products support services - Data computing services: IT Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 58 75.3% 1 Chosen 19 24.7%         Variable name Q13_SuppComJoint     Variable label [Q13] Units or products support services - Data computing services: Joint services Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 69 89.6% 1 Chosen 8 10.4%         Variable name Q13_SuppComDis     Variable label [Q13] Units or products support services - Data computing services: Disciplinary resources Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 63 81.8% 1 Chosen 14 18.2%         Variable name Q13_SuppComReg     Variable label [Q13] Units or products support services - Data computing services: Regional consortia Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 71 92.2% 1 Chosen 6 7.8%         Variable name Q13_SuppComNat     Variable label [Q13] Units or products support services - Data computing services: National consortia Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open 43 platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 69 89.6% 1 Chosen 8 10.4%         Variable name Q13_SuppComComm     Variable label [Q13] Units or products support services - Data computing services: Commercial products Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 71 92.2% 1 Chosen 6 7.8%         Variable name Q13_SuppComPlan     Variable label [Q13] Units or products support services - Data computing services: Plan to provide Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 54 70.1% 1 Chosen 23 29.9%         Variable name Q13_SuppTrainLib     Variable label [Q13] Units or products support services - General RDM best practices or DMP training: Library Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 40 51.9% 1 Chosen 37 48.1%         Variable name Q13_SuppTrainIT     Variable label [Q13] Units or products support services - General RDM best practices or DMP training: IT Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 73 94.8% 1 Chosen 4 5.2%         Variable name Q13_SuppTrainJoint     44 Variable label [Q13] Units or products support services - General RDM best practices or DMP training: Joint services Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 67 87.0% 1 Chosen 10 13.0%         Variable name Q13_SuppTrainDis     Variable label [Q13] Units or products support services - General RDM best practices or DMP training: Disciplinary resources Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 74 96.1% 1 Chosen 3 3.9%         Variable name Q13_SuppTrainReg     Variable label [Q13] Units or products support services - General RDM best practices or DMP training: Regional consortial Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 70 90.9% 1 Chosen 7 9.1%         Variable name Q13_SuppTrainNat     Variable label [Q13] Units or products support services - General RDM best practices or DMP training: National resources Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 57 74.0% 1 Chosen 20 26.0%         Variable name Q13_SuppTrainComm     Variable label [Q13] Units or products support services - General RDM best practices or DMP training: Commercial products Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open 45 platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 77 100.0% 1 Chosen 0 0.0%         Variable name Q13_SuppTrainPlan     Variable label [Q13] Units or products support services - General RDM best practices or DMP training: Plan to provide Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 51 66.2% 1 Chosen 26 33.8%         Variable name Q13_SuppWorkLib     Variable label [Q13] Units or products support services - Targeted hands-on RDM workshops: Library Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 44 57.1% 1 Chosen 33 42.9%         Variable name Q13_SuppWorkIT     Variable label [Q13] Units or products support services - Targeted hands-on RDM workshops: IT Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 76 98.7% 1 Chosen 1 1.3%         Variable name Q13_SuppWorkJoint     Variable label [Q13] Units or products support services - Targeted hands-on RDM workshops: Joint services Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 71 92.2% 1 Chosen 6 7.8%         Variable name Q13_SuppWorkDis     46 Variable label [Q13] Units or products support services - Targeted hands-on RDM workshops: Disciplinary resources Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 76 98.7% 1 Chosen 1 1.3%         Variable name Q13_SuppWorkReg     Variable label [Q13] Units or products support services - Targeted hands-on RDM workshops: Regional consortial Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 67 87.0% 1 Chosen 10 13.0%         Variable name Q13_SuppWorkNat     Variable label [Q13] Units or products support services - Targeted hands-on RDM workshops: National resources Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 61 79.2% 1 Chosen 16 20.8%          Variable name Q13_SuppWorkComm     Variable label [Q13] Units or products support services - Targeted hands-on RDM workshops: Commercial products Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 77 100.0% 1 Chosen 0 0.0%         Variable name Q13_SuppWorkPlan     Variable label [Q13] Units or products support services - Targeted hands-on RDM workshops: Plan to provide Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open 47 platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 42 54.5% 1 Chosen 35 45.5%         Variable name Q13_SuppCurLib     Variable label [Q13] Units or products support services - Curation support: Library Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 38 49.4% 1 Chosen 39 50.6%         Variable name Q13_SuppCurIT     Variable label [Q13] Units or products support services - Curation support: IT Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 75 97.4% 1 Chosen 2 2.6%         Variable name Q13_SuppCurJoint     Variable label [Q13] Units or products support services - Curation support: Joint services Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 72 93.5% 1 Chosen 5 6.5%         Variable name Q13_SuppCurDis     Variable label [Q13] Units or products support services - Curation support: Disciplinary resources Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 73 94.8% 1 Chosen 4 5.2%         Variable name Q13_SuppCurReg     Variable label [Q13] Units or products support services - Curation support: Regional consortial 48 Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 70 90.9% 1 Chosen 7 9.1%         Variable name Q13_SuppCurNat     Variable label [Q13] Units or products support services - Curation support: National resources Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 66 85.7% 1 Chosen 11 14.3%         Variable name Q13_SuppCurComm     Variable label [Q13] Units or products support services - Curation support: Commercial products Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 77 100.0% 1 Chosen 0 0.0%         Variable name Q13_SuppCurPlan     Variable label [Q13] Units or products support services - Curation support: Plan to provide Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 51 66.2% 1 Chosen 26 33.8%         Variable name Q13_SuppFinLib     Variable label [Q13] Units or products support services - Specific financial support to researchers: Library Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 76 98.7% 1 Chosen 1 1.3%         49 Variable name Q13_SuppFinIT     Variable label [Q13] Units or products support services - Specific financial support to researchers: IT Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 76 98.7% 1 Chosen 1 1.3%         Variable name Q13_SuppFinJoint     Variable label [Q13] Units or products support services - Specific financial support to researchers: Joint services Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 70 90.9% 1 Chosen 7 9.1%         Variable name Q13_SuppFinDis     Variable label [Q13] Units or products support services - Specific financial support to researchers: Disciplinary resources Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 73 94.8% 1 Chosen 4 5.2%         Variable name Q13_SuppFinReg     Variable label [Q13] Units or products support services - Specific financial support to researchers: Regional consortial resources Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 76 98.7% 1 Chosen 1 1.3%         Variable name Q13_SuppFinNat     Variable label [Q13] Units or products support services - Specific financial support to researchers: National resources Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open 50 platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 72 93.5% 1 Chosen 5 6.5%         Variable name Q13_SuppFinComm     Variable label [Q13] Units or products support services - Specific financial support to researchers: Commercial products Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 77 100.0% 1 Chosen 0 0.0%         Variable name Q13_SuppFinPlan     Variable label [Q13] Units or products support services - Specific financial support to researchers: Plan to provide Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 52 67.5% 1 Chosen 25 32.5%         Variable name Q13_SuppOtherLib     Variable label [Q13] Units or products support services - Other: : Library Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 75 97.4% 1 Chosen 2 2.6%         Variable name Q13_SuppOtherIT     Variable label [Q13] Units or products support services - Other: IT Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 76 98.7% 1 Chosen 1 1.3%         51 Variable name Q13_SuppOtherJoint     Variable label [Q13] Units or products support services - Other: Joint services Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 75 97.4% 1 Chosen 2 2.6%         Variable name Q13_SuppOtherDis     Variable label [Q13] Units or products support services - Other: Disciplinary resources Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 76 98.7% 1 Chosen 1 1.3%         Variable name Q13_SuppOtherReg     Variable label [Q13] Units or products support services - Other: Regional consortial Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 76 98.7% 1 Chosen 1 1.3%         Variable name Q13_SuppOtherNat     Variable label [Q13] Units or products support services - Other: National resources Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 76 98.7% 1 Chosen 1 1.3%         Variable name Q13_SuppOtherComm     Variable label [Q13] Units or products support services - Other: Commercial products Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 76 98.7% 52 1 Chosen 1 1.3%         Variable name Q13_SuppOtherPlan     Variable label [Q13] Units or products support services - Other: Plan to provide Survey question  Research data management support can be a composite of services provided by different units at an institution, as well as regional and national efforts. Infrastructure may also consist of open platform/not-for-profit and commercial/publisher packages. Which units or products within and outside your institution support each of the following services? Check all that apply. Value label Value description Count Percent 0 Not chosen 76 98.7% 1 Chosen 1 1.3%         Variable name Q13_SuppOtherT*     Variable label [Q13] Units or products support services - Other:  [text] Survey question If you selected ‘Other’ above, please elaborate Value label Value description     [many] [string]     Institutional Strategy and Policies Variable name Q14a_RDMStr     Variable label [Q14a] Have RDM strategy Survey question Does your institution currently have a research data management strategy? Value label Value description Count Percent 1 Yes 4 5.2% 2 No 34 44.2% 3 Under development 35 45.5% 4 Don't know 1 1.3% 99 Not chosen 3 3.9%         Variable name Q14b_RDMStrFAIR     Variable label [Q14b] RDM Strategy elements covered - Make research data FAIR (findable, accessible, interoperable and reusable) Survey question If you selected ‘a’ or ‘c’ in Question 14 (A), what elements are covered by your institutional strategy on research data management? Check all that apply. Value label Value description Count Percent 0 Not chosen 49 63.6% 1 Chosen 28 36.4%         Variable name Q14b_RDMStrSen     Variable label [Q14b] RDM Strategy elements covered - Specific guidelines for sensitive data Survey question If you selected ‘a’ or ‘c’ in Question 14 (A), what elements are covered by your institutional strategy on research data management? Check all that apply. Value label Value description Count Percent 0 Not chosen 52 67.5% 1 Chosen 25 32.5%         Variable name Q14b_RDMStrStor     53 Variable label [Q14b] RDM Strategy elements covered - Provisions for data storage Survey question If you selected ‘a’ or ‘c’ in Question 14 (A), what elements are covered by your institutional strategy on research data management? Check all that apply. Value label Value description Count Percent 0 Not chosen 47 61.0% 1 Chosen 30 39.0%         Variable name Q14b_RDMStrDis     Variable label [Q14b] RDM Strategy elements covered - Provisions for specific disciplinary areas Survey question If you selected ‘a’ or ‘c’ in Question 14 (A), what elements are covered by your institutional strategy on research data management? Check all that apply. Value label Value description Count Percent 0 Not chosen 65 84.4% 1 Chosen 12 15.6%         Variable name Q14b_RDMStrPer     Variable label [Q14b] RDM Strategy elements covered - Provision for handling personal data Survey question If you selected ‘a’ or ‘c’ in Question 14 (A), what elements are covered by your institutional strategy on research data management? Check all that apply. Value label Value description Count Percent 0 Not chosen 49 63.6% 1 Chosen 28 36.4%         Variable name Q14b_RDMStrLegal     Variable label [Q14b] RDM Strategy elements covered - Legal support Survey question If you selected ‘a’ or ‘c’ in Question 14 (A), what elements are covered by your institutional strategy on research data management? Check all that apply. Value label Value description Count Percent 0 Not chosen 65 84.4% 1 Chosen 12 15.6%         Variable name Q14b_RDMStrLicense     Variable label [Q14b] RDM Strategy elements covered - Licenses Survey question If you selected ‘a’ or ‘c’ in Question 14 (A), what elements are covered by your institutional strategy on research data management? Check all that apply. Value label Value description Count Percent 0 Not chosen 63 81.8% 1 Chosen 14 18.2%         Variable name Q14b_RDMStrOther     Variable label [Q14b] RDM Strategy elements covered - Other Survey question If you selected ‘a’ or ‘c’ in Question 14 (A), what elements are covered by your institutional strategy on research data management? Check all that apply. Value label Value description Count Percent 0 Not chosen 66 85.7% 1 Chosen 11 14.3%         54 Variable name Q14b_RDMStrOtherT*     Variable label [Q14b] RDM Strategy elements covered - Other [text] Survey question If you selected ‘a’ or ‘c’ in Question 14 (A), what elements are covered by your institutional strategy on research data management? Check all that apply. Value label Value description     [many] [string]             Variable name Q15a_RDMPol     Variable label [Q15a] Have RDM Policy Survey question Does your institution currently have a research data management policy? Value label Value description Count Percent 1 Yes 6 7.8% 2 No 55 71.4% 3 Under development 11 14.3% 4 Don't know 0 0.0% 99 Not chosen 5 6.5%         Variable name Q15b_RDMPolFAIR     Variable label [Q15b] RDM Policy elements covered - Make research data FAIR (findable, accessible, interoperable and reusable) Survey question If you selected response ‘a’ or ‘c’ in Question 15 (A), what elements are covered by your institutional policy on research data management? Check all that apply. Value label Value description Count Percent 0 Not chosen 66 85.7% 1 Chosen 11 14.3%         Variable name Q15b_RDMPolSensitive     Variable label [Q15b] RDM Policy elements covered - Specific guidelines for sensitive data Survey question If you selected response ‘a’ or ‘c’ in Question 15 (A), what elements are covered by your institutional policy on research data management? Check all that apply. Value label Value description Count Percent 0 Not chosen 64 83.1% 1 Chosen 13 16.9%         Variable name Q15b_RDMPolStor     Variable label [Q15b] RDM Policy elements covered - Provisions for data storage Survey question If you selected response ‘a’ or ‘c’ in Question 15 (A), what elements are covered by your institutional policy on research data management? Check all that apply. Value label Value description Count Percent 0 Not chosen 61 79.2% 1 Chosen 16 20.8%         Variable name Q15b_RDMPolDis     Variable label [Q15b] RDM Policy elements covered - Provisions for specific disciplinary areas Survey question If you selected response ‘a’ or ‘c’ in Question 15 (A), what elements are covered by your institutional policy on research data management? Check all that apply. Value label Value description Count Percent 55 0 Not chosen 71 92.2% 1 Chosen 6 7.8%         Variable name Q15b_RDMPolPer     Variable label [Q15b] RDM Policy elements covered - Provision for handling personal data Survey question If you selected response ‘a’ or ‘c’ in Question 15 (A), what elements are covered by your institutional policy on research data management? Check all that apply. Value label Value description Count Percent 0 Not chosen 62 80.5% 1 Chosen 15 19.5%         Variable name Q15b_RDMPolLegal     Variable label [Q15b] RDM Policy elements covered - Legal support Survey question If you selected response ‘a’ or ‘c’ in Question 15 (A), what elements are covered by your institutional policy on research data management? Check all that apply. Value label Value description Count Percent 0 Not chosen 71 92.2% 1 Chosen 6 7.8%         Variable name Q15b_RDMPolLicense     Variable label [Q15b] RDM Policy elements covered - Licenses Survey question If you selected response ‘a’ or ‘c’ in Question 15 (A), what elements are covered by your institutional policy on research data management? Check all that apply. Value label Value description Count Percent 0 Not chosen 74 96.1% 1 Chosen 3 3.9%         Variable name Q15b_RDMPolOther     Variable label [Q15b] RDM Policy elements covered - Other Survey question If you selected response ‘a’ or ‘c’ in Question 15 (A), what elements are covered by your institutional policy on research data management? Check all that apply. Value label Value description Count Percent 0 Not chosen 76 98.7% 1 Chosen 1 1.3%         Variable name Q15b_RDMPolOtherT*     Variable label [Q15b] RDM Policy elements covered - Other [text] Survey question If you selected response ‘a’ or ‘c’ in Question 15 (A), what elements are covered by your institutional policy on research data management? Check all that apply. Value label Value description     [many] [string]             Variable name Q16_PolicyOwn     Variable label [Q16] Guideline or policy in ownership of research data Survey question Is there a guideline/policy at your institution on the ownership of research data? Value label Value description Count Percent 1 No 17 22.1% 56 2 Yes, researcher owns the data 23 29.9% 3 Yes, the institution owns the data 7 9.1% 4 Other 18 23.4% 5 Don’t know 9 11.7% 99 Not chosen 3 3.9%         Variable name Q16_PolicyOwnOther*     Variable label [Q16] Guideline or policy in ownership of research data - Other Survey question Is there a guideline/policy at your institution on the ownership of research data? Other Value label Value description     [many] [string]             Variable name Q17a_PolicyRet     Variable label [Q17a] Guideline or policy on minimum retention period Survey question Is there a guideline/policy at your institution on the minimum retention period for research data? Value label Value description Count Percent 1 Yes 28 36.4% 2 No 34 44.2% 3 Don't know 11 14.3% 99 Not chosen 4 5.2%         Variable name Q17b_PolicyRetLength*     Variable label [Q17b] Guideline or policy on minimum retention period - length Survey question If you responded ‘Yes’ to Question 17, please indicate the length of the retention period. Value label Value description     [many] [string]             Variable name Q18_PolicyLicense     Variable label [Q18] Guideline or policy on how researchers license research data Survey question Is there a guideline/policy at your institution on how researchers should license their research data? Value label Value description Count Percent 1 Yes 10 13.0% 2 No 47 61.0% 3 Other 5 6.5% 4 Don't know 12 15.6% 99 Not chosen 3 3.9%         Variable name Q18_PolicyLicenseT*     Variable label [Q18] Guideline or policy on how researchers license research data - Other Survey question Is there a guideline/policy at your institution on how researchers should license their research data? Other Value label Value description     [many] [string]     57 Business plans and sustainability Variable name Q19_BudgetRDM*     Variable label [Q19] How institution budget for RDM service Survey question How does your institution budget for research data management services? Value label Value description     [many] [string]             Variable name Q20a_InvestTech     Variable label [Q20a] How institution will invest in RDM technology - Base level of investment in technical infrastructure Survey question How is your institution planning to invest in research data management technology? (check all that apply) Value label Value description Count Percent 0 Not chosen 62 80.5% 1 Chosen 15 19.5%         Variable name Q20b_InvestIT     Variable label [Q20b] How institution will invest in RDM technology - Coordinate institutional investment through centralized IT services Survey question How is your institution planning to invest in research data management technology? (check all that apply) Value label Value description Count Percent 0 Not chosen 65 84.4% 1 Chosen 12 15.6%         Variable name Q20c_InvestSelectStage     Variable label [Q20c] How institution will invest in RDM technology - Prioritize selected stages of the data life cycle Survey question How is your institution planning to invest in research data management technology? (check all that apply) Value label Value description Count Percent 0 Not chosen 69 89.6% 1 Chosen 8 10.4%         Variable name Q20d_InvestLifeCycle     Variable label [Q20d] How institution will invest in RDM technology - Dedicated to support all aspects of the data life cycle Survey question How is your institution planning to invest in research data management technology? (check all that apply) Value label Value description Count Percent 0 Not chosen 70 90.9% 1 Chosen 7 9.1%   58         Variable name Q20e_InvestRes     Variable label [Q20e] How institution will invest in RDM technology - Investment will be adapted to meet researchers’ needs Survey question How is your institution planning to invest in research data management technology? (check all that apply) Value label Value description Count Percent 0 Not chosen 58 75.3% 1 Chosen 19 24.7%         Variable name Q20f_InvestDK     Variable label [Q20f] How institution will invest in RDM technology - Don’t know Survey question How is your institution planning to invest in research data management technology? (check all that apply) Value label Value description Count Percent 0 Not chosen 43 55.8% 1 Chosen 34 44.2%         Variable name Q20g_InvestOther     Variable label [Q20g] How institution will invest in RDM technology - Other Survey question How is your institution planning to invest in research data management technology? (check all that apply) Value label Value description Count Percent 0 Not chosen 64 83.1% 1 Chosen 13 16.9%         Variable name Q20g_InvestOtherT*     Variable label [Q20g] How institution will invest in RDM technology - Other [text] Survey question How is your institution planning to invest in research data management technology? (check all that apply) Other Value label Value description     [many] [string]             Variable name Q21_PosWillCreate*     Variable label [Q21] Data management positions planning to create in next 2 years Survey question What data management positions (if any) is your institution planning to create within the next 2 years (please provide associated job titles)? (for example, data management coordinator, data protection officer, data management librarian, data curation specialist, data managers, or data scientists) Value label Value description     [many] [string]             Variable name Q22a_ProgramStaff     Variable label [Q22a] Have professional development program on RDM for staff Survey question Does your institution currently have a professional development program focusing on research data management for staff (for example, reskilling or new skill development)? Value label Value description Count Percent 59 1 Yes 12 15.6% 2 No 58 75.3% 3 Don’t know 3 3.9% 99 Not chosen 4 5.2%         Variable name Q22b_ProgramStaffT*     Variable label [Q22b] How RDM program for staff implemented Survey question If you responded ‘Yes’ to Question 22,  how (what program / curriculum / pedagogical framework is implemented?) Value label Value description     [many] [string]             Variable name Q23a_ProgramRes     Variable label [Q23a] Have professional development program on RDM for researchers Survey question Does your institution currently have a professional development program focusing on research data management for researchers (graduate students, post-docs, and faculty members)? Value label Value description Count Percent 1 Yes 12 15.6% 2 No 58 75.3% 3 Don’t know 3 3.9% 99 Not chosen 4 5.2%         Variable name Q23b_ProgramResT*     Variable label [Q23b] How RDM program fro researchers implemented Survey question If you responded ‘Yes’ to Question 23,  how (what program / curriculum / pedagogical framework is implemented?) Value label Value description     [many] [string]     Collaboration Variable name Q24a_CollReg     Variable label [Q24a] Institution partner with/contribute to - Regional RDM initiative/network/collaboration Survey question Does your institution partner with or contribute to any of the following research data management initiatives? Value label Value description Count Percent 0 Not chosen 33 42.9% 1 Chosen 44 57.1%         Variable name Q24b_CollNat     Variable label [Q24b] Institution partner with/contribute to - National RDM initiative/network/collaboration Survey question Does your institution partner with or contribute to any of the following research data management initiatives? Value label Value description Count Percent 0 Not chosen 37 48.1% 1 Chosen 40 51.9%         Variable name Q24c_CollInt     60 Variable label [Q24c] Institution partner with/contribute to - International RDM initiative/network/collaboration Survey question Does your institution partner with or contribute to any of the following research data management initiatives? Value label Value description Count Percent 0 Not chosen 67 87.0% 1 Chosen 10 13.0%         Variable name Q24d_CollDis     Variable label [Q24d] Institution partner with/contribute to - Disciplinary RDM initiative/network/collaboration Survey question Does your institution partner with or contribute to any of the following research data management initiatives? Value label Value description Count Percent 0 Not chosen 68 88.3% 1 Chosen 9 11.7%         Variable name Q24e_CollOther     Variable label [Q24e] Institution partner with/contribute to - Other Survey question Does your institution partner with or contribute to any of the following research data management initiatives? Value label Value description Count Percent 0 Not chosen 67 87.0% 1 Chosen 10 13.0%         Variable name Q24f_CollOtherT*     Variable label [Q24f] Institution partner with/contribute to - Other [text] Survey question Does your institution partner with or contribute to any of the following research data management initiatives? Value label Value description     [many] [string]     Awareness Variable name Q25_AwareInst     Variable label [Q25] Level of awareness of stakeholder groups at institution - Institutional leadership Survey question Rate the level of awareness of each of the following stakeholder groups at your institution regarding Tri-Agency research data management policy development: Value label Value description Count Percent 1 Don’t know 5 6.5% 2 Very low 10 13.0% 3 Low 17 22.1% 4 Neither high or low 19 24.7% 5 High 15 19.5% 6 Very high 6 7.8% 99 Not chosen 5 6.5%         Variable name Q25_AwareLib     61 Variable label [Q25] Level of awareness of stakeholder groups at institution - Librarians Survey question Rate the level of awareness of each of the following stakeholder groups at your institution regarding Tri-Agency research data management policy development: Value label Value description Count Percent 1 Don’t know 4 5.2% 2 Very low 5 6.5% 3 Low 7 9.1% 4 Neither high or low 22 28.6% 5 High 20 26.0% 6 Very high 14 18.2% 99 Not chosen 5 6.5%         Variable name Q25_AwareEarlyRes     Variable label [Q25] Level of awareness of stakeholder groups at institution - Early-stage researchers (graduate students, Postdocs, new faculty members) Survey question Rate the level of awareness of each of the following stakeholder groups at your institution regarding Tri-Agency research data management policy development: Value label Value description Count Percent 1 Don’t know 11 14.3% 2 Very low 19 24.7% 3 Low 25 32.5% 4 Neither high or low 16 20.8% 5 High 1 1.3% 6 Very high 0 0.0% 99 Not chosen 5 6.5%         Variable name Q25_AwareMidRes     Variable label [Q25] Level of awareness of stakeholder groups at institution - Mid-career researchers Survey question Rate the level of awareness of each of the following stakeholder groups at your institution regarding Tri-Agency research data management policy development: Value label Value description Count Percent 1 Don’t know 12 15.6% 2 Very low 12 15.6% 3 Low 25 32.5% 4 Neither high or low 15 19.5% 5 High 7 9.1% 6 Very high 1 1.3% 99 Not chosen 5 6.5%         Variable name Q25_AwareSeniorRes     Variable label [Q25] Level of awareness of stakeholder groups at institution - Senior researchers Survey question Rate the level of awareness of each of the following stakeholder groups at your institution regarding Tri-Agency research data management policy development: Value label Value description Count Percent 1 Don’t know 13 16.9% 2 Very low 10 13.0% 3 Low 26 33.8% 62 4 Neither high or low 12 15.6% 5 High 8 10.4% 6 Very high 3 3.9% 99 Not chosen 5 6.5%  Barriers and challenges Variable name Q26a_BarBenefit     Variable label [Q26a] Barriers/challenges to support RDM/FAIR principles - Limited awareness of the benefits of RDM Survey question What are the barriers/challenges for your institution to support research data management and adherence to FAIR principles (i.e. making data Findable, Accessible, Interoperable, and Reusable)? Check all that apply. Value label Value description Count Percent 0 Not chosen 22 28.6% 1 Chosen 55 71.4%         Variable name Q26b_BarResist     Variable label [Q26b] Barriers/challenges to support RDM/FAIR principles - Resistance to making data available or to share data Survey question What are the barriers/challenges for your institution to support research data management and adherence to FAIR principles (i.e. making data Findable, Accessible, Interoperable, and Reusable)? Check all that apply. Value label Value description Count Percent 0 Not chosen 28 36.4% 1 Chosen 49 63.6%         Variable name Q26c_BarLegal     Variable label [Q26c] Barriers/challenges to support RDM/FAIR principles - Concerns over legal frameworks Survey question What are the barriers/challenges for your institution to support research data management and adherence to FAIR principles (i.e. making data Findable, Accessible, Interoperable, and Reusable)? Check all that apply. Value label Value description Count Percent 0 Not chosen 43 55.8% 1 Chosen 34 44.2%         Variable name Q26d_BarCost     Variable label [Q26d] Barriers/challenges to support RDM/FAIR principles - Concerns over increased costs Survey question What are the barriers/challenges for your institution to support research data management and adherence to FAIR principles (i.e. making data Findable, Accessible, Interoperable, and Reusable)? Check all that apply. Value label Value description Count Percent 0 Not chosen 31 40.3% 1 Chosen 46 59.7%         Variable name Q26e_BarTech     Variable label [Q26e] Barriers/challenges to support RDM/FAIR principles - Technical complexity 63 Survey question What are the barriers/challenges for your institution to support research data management and adherence to FAIR principles (i.e. making data Findable, Accessible, Interoperable, and Reusable)? Check all that apply. Value label Value description Count Percent 0 Not chosen 31 40.3% 1 Chosen 46 59.7%         Variable name Q26f_BarConfid     Variable label [Q26f] Barriers/challenges to support RDM/FAIR principles - Limitations of confidentiality clauses Survey question What are the barriers/challenges for your institution to support research data management and adherence to FAIR principles (i.e. making data Findable, Accessible, Interoperable, and Reusable)? Check all that apply. Value label Value description Count Percent 0 Not chosen 30 39.0% 1 Chosen 47 61.0%         Variable name Q26g_BarDis     Variable label [Q26g] Barriers/challenges to support RDM/FAIR principles - Different disciplinary practices Survey question What are the barriers/challenges for your institution to support research data management and adherence to FAIR principles (i.e. making data Findable, Accessible, Interoperable, and Reusable)? Check all that apply. Value label Value description Count Percent 0 Not chosen 38 49.4% 1 Chosen 39 50.6%        Variable name Q26h_BarTime     Variable label [Q26h] Barriers/challenges to support RDM/FAIR principles - Lack of time to clean and prepare data and metadata Survey question What are the barriers/challenges for your institution to support research data management and adherence to FAIR principles (i.e. making data Findable, Accessible, Interoperable, and Reusable)? Check all that apply. Value label Value description Count Percent 0 Not chosen 22 28.6% 1 Chosen 55 71.4%         Variable name Q26i_BarIncent     Variable label [Q26i] Barriers/challenges to support RDM/FAIR principles - Absence of incentives to promote RDM Survey question What are the barriers/challenges for your institution to support research data management and adherence to FAIR principles (i.e. making data Findable, Accessible, Interoperable, and Reusable)? Check all that apply. Value label Value description Count Percent 0 Not chosen 24 31.2% 1 Chosen 53 68.8%         Variable name Q26j_BarPolicy     64 Variable label [Q26j] Barriers/challenges to support RDM/FAIR principles - Absence of policies or guidelines at the national level Survey question What are the barriers/challenges for your institution to support research data management and adherence to FAIR principles (i.e. making data Findable, Accessible, Interoperable, and Reusable)? Check all that apply. Value label Value description Count Percent 0 Not chosen 32 41.6% 1 Chosen 45 58.4%         Variable name Q26k_BarSkill     Variable label [Q26k] Barriers/challenges to support RDM/FAIR principles - Lack of skilled staff with expertise on the topic Survey question What are the barriers/challenges for your institution to support research data management and adherence to FAIR principles (i.e. making data Findable, Accessible, Interoperable, and Reusable)? Check all that apply. Value label Value description Count Percent 0 Not chosen 28 36.4% 1 Chosen 49 63.6%         Variable name Q26l_BarLackSupp     Variable label [Q26l] Barriers/challenges to support RDM/FAIR principles - Lack of support for researchers Survey question What are the barriers/challenges for your institution to support research data management and adherence to FAIR principles (i.e. making data Findable, Accessible, Interoperable, and Reusable)? Check all that apply. Value label Value description Count Percent 0 Not chosen 30 39.0% 1 Chosen 47 61.0%         Variable name Q26m_BarCoorIns     Variable label [Q26m] Barriers/challenges to support RDM/FAIR principles - Lack of coordination among the relevant actors Survey question What are the barriers/challenges for your institution to support research data management and adherence to FAIR principles (i.e. making data Findable, Accessible, Interoperable, and Reusable)? Check all that apply. Value label Value description Count Percent 0 Not chosen 38 49.4% 1 Chosen 39 50.6%         Variable name Q26n_BarCoorReg     Variable label [Q26n] Barriers/challenges to support RDM/FAIR principles - Lack of coordination at the regional or national level Survey question What are the barriers/challenges for your institution to support research data management and adherence to FAIR principles (i.e. making data Findable, Accessible, Interoperable, and Reusable)? Check all that apply. Value label Value description Count Percent 0 Not chosen 63 81.8% 1 Chosen 14 18.2%         65 Variable name Q26o_BarFund     Variable label [Q26o] Barriers/challenges to support RDM/FAIR principles - Lack of funding Survey question What are the barriers/challenges for your institution to support research data management and adherence to FAIR principles (i.e. making data Findable, Accessible, Interoperable, and Reusable)? Check all that apply. Value label Value description Count Percent 0 Not chosen 25 32.5% 1 Chosen 52 67.5%          Variable name Q26p_BarAware     Variable label [Q26p] Barriers/challenges to support RDM/FAIR principles - Lack of awareness raising, including training opportunities Survey question What are the barriers/challenges for your institution to support research data management and adherence to FAIR principles (i.e. making data Findable, Accessible, Interoperable, and Reusable)? Check all that apply. Value label Value description Count Percent 0 Not chosen 29 37.7% 1 Chosen 48 62.3%         Variable name Q26q_BarOther     Variable label [Q26q] Barriers/challenges to support RDM/FAIR principles - Other Survey question What are the barriers/challenges for your institution to support research data management and adherence to FAIR principles (i.e. making data Findable, Accessible, Interoperable, and Reusable)? Check all that apply. Value label Value description Count Percent 0 Not chosen 73 94.8% 1 Chosen 4 5.2%         Variable name Q26q_BarOtherT*     Variable label [Q26q] Barriers/challenges to support RDM/FAIR principles - Other [text] Survey question What are the barriers/challenges for your institution to support research data management and adherence to FAIR principles (i.e. making data Findable, Accessible, Interoperable, and Reusable)? Check all that apply. Other Value label Value description     [many] [string]     Potential accelerator Variable name Q27a_ActIns*     Variable label [Q27a] Actions to help promote RDM and FAIR principles - At institution Survey question What are the most important actions that could help promote research data management and adherence to FAIR principles (Findability, Accessibility, Interoperability, and Reusability) of research data at your institution? Value label Value description     [many] [string]             Variable name Q27b_ActReg*     66 Variable label [Q27b] Actions to help promote RDM and FAIR principles - Regionally Survey question What are the most important actions that could help promote research data management and adherence to FAIR principles (Findability, Accessibility, Interoperability, and Reusability) of research data at your institution? Value label Value description     [many] [string]             Variable name Q27c_ActNat*     Variable label [Q27c] Actions to help promote RDM and FAIR principles - Nationally Survey question What are the most important actions that could help promote research data management and adherence to FAIR principles (Findability, Accessibility, Interoperability, and Reusability) of research data at your institution? Value label Value description     [many] [string]             Variable name Q27d_ActInt*     Variable label [Q27d] Actions to help promote RDM and FAIR principles - Internationally Survey question What are the most important actions that could help promote research data management and adherence to FAIR principles (Findability, Accessibility, Interoperability, and Reusability) of research data at your institution? Value label Value description     [many] [string]             Variable name Q27e_ActDis*     Variable label [Q27e] Actions to help promote RDM and FAIR principles - Within Disciplines Survey question What are the most important actions that could help promote research data management and adherence to FAIR principles (Findability, Accessibility, Interoperability, and Reusability) of research data at your institution? Value label Value description     [many] [string]             Variable name Q27f_ActOther*     Variable label [Q27f] Actions to help promote RDM and FAIR principles - Other Survey question What are the most important actions that could help promote research data management and adherence to FAIR principles (Findability, Accessibility, Interoperability, and Reusability) of research data at your institution? Value label Value description     [many] [string]     Derived variables Variable name Region     Variable label Region [DV] Survey question Region [derived variable based on PROV] Value label Value description Count Percent 1 Atlantic 9 11.7% 2 Quebec 23 29.9% 3 Ontario 21 27.3% 67 4 West 24 31.2% 99 Not declared 0 0.0%         Variable name CRKNBand*     Variable label CRKN Band [DV] Survey question CRKN Band [derived variable based on INST] Value label Value description     1 1     2 2     3 3     4 4     5 5     6 6     7 7     8 8     9 9     10 10     11 11     12 12     13 13     98 Not in CRKN     99 Institution name not given             Variable name CRKNBandGR     Variable label In CRKN [DV] Survey question CRKN Band [derived variable based on INST] Value label Value description Count Percent 0 Not in CRKN 31 40.3% 1 In CRKN 46 59.7% 99 Institution name not given 0 0.0%         Variable name InstTypeGR     Variable label Institution type (college/CEGEP grouped) [DV] Survey question Institution type (college/CEGEP grouped) [derived variable based on INST] Value label Value description Count Percent 1 University 52 67.5% 2 College/CEGEP 21 27.3% 3 Research Centre 1 1.3% 4 Government 3 3.9% 5 Non-university 0 0.0% 99 Not stated 0 0.0%   

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