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Research Data Management : A View From Canada Barsky, Eugene 2019-07

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Research Data Management, A View From CanadaEugene BarskyUniversity of British Columbia, Library/ARCeugene.barsky@ubc.cahttp://researchdata.library.ubc.ca/ Summer 2019Also available - https://dx.doi.org/10.14288/1.0379514   Image - https://www.flickr.com/photos/paronguyen/ Outline● Background and definitions ● Tri-Agencies directions in Research Data Management (RDM)○ Data Management Plans○ Data Repositories and Discovery○ Institutional Data Policy● University of British Columbia (UBC) & RDM ● DiscussionImage - https://www.flickr.com/photos/kenfagerdotcom/  2Data richSoccer clubs, like Arsenal, record on average 10 data points per second for every player on the field, or about 1.4 million data points per game.3Image - https://www.flickr.com/photos/kevlar/ Source - https://www.forbes.com/sites/bernardmarr/2015/03/25/big-data-the-winning-formula-in-sports/#2a9791e234de Data rich- Feed of about 150 key parameters, which is transmitted in real time with a 4G connection- 5 GB of raw data per boat per dayImage - https://www.flickr.com/photos/markdoliner/ Defining research data“Data that are used as primary sources to support technical or scientific enquiry, research, scholarship, or artistic activity, and that are used as evidence in the research process and/or are commonly accepted in the research community as necessary to validate research findings and results. “Source - CASRAI Glossary - http://dictionary.casrai.org/Research_data * Image - https://www.flickr.com/photos/34547181@N00/ 5What is the Portage Network?● “Portage is a national, library-based research data management network that coalesces initiatives in research data management to build capacity and to coordinate activities better”● https://portagenetwork.ca/ 6Portage national network of expertsExpert Groups• Data Management Planning• Curation• Data Discovery• Preservation• Training• Research Intelligence• Data Repositories125+Experts59OrganizationsPart of a Larger Infrastructure8Tri-Agencies - Canadian Funders● Three federal research funding agencies:○ Canadian Institutes of Health Research (CIHR)○ Natural Sciences and Engineering Research Council of Canada (NSERC)○ Social Sciences and Humanities Research Council of Canada (SSHRC) ● Released draft Tri-Agency Research Data Management Policy - June 2018 - http://www.science.gc.ca/eic/site/063.nsf/eng/h_547652FB.html9“All grant proposals submitted to the agencies should include methodologies that reflect best practices in research data management. The agencies encourage grant applicants to complete data management plans (DMPs) as an essential step in research project design”101. Data Management Plans (DMPs)Data Management Plans - Portage● In Canada - DMP Assistant - https://assistant.portagenetwork.ca/   ● DMP Assistant is a national bilingual tool for preparing data management plans (DMPs). The tool follows best practices in data stewardship and walks researchers step-by-step through key questions about data management Image - https://www.flickr.com/photos/a-g 11Data Management Plans - Portage1213“Grant recipients are required to deposit into a recognized digital repository all digital research data, metadata and code that directly support the research conclusions in journal publications, pre-prints, and other research outputs that arise from agency-supported research. The repository will ensure safe storage, preservation, and curation of the data. The agencies encourage researchers to provide access to the data where ethical, legal, and commercial requirements allow, and in accordance with the standards of their disciplines”2. Data Repositories and DiscoveryData Repositories and Discovery - FRDR● We have worked to create the national research data discovery layer with the Federated Research Data Repository (FRDR) - national discovery layer for research data● https://www.frdr.ca/ 14Data Repositories and Discovery - FRDR● FRDR is a partnership between Compute Canada (CC) and the Canadian Association of Research Libraries/Portage (CARL)● Service operated by Portage, including curation and data management support, with steering and input from Networks of Expertise, and individual institutions● FRDR’s harvester indexes data repositories across Canada to make research data held in many repositories discoverable from a single platform● More than 113,000 records, including government data● Currently supports OAI-PMH, CKAN, CSW, Marklogic standards with plans to add more 15Data Repositories and Discovery - Dataverse North● Dataverse North service, to be based on a sustainable business model and hosted by Scholars Portal at the University of Toronto Libraries. ● https://dataverse.scholarsportal.info/dataverse/sp16Data Repositories and Discovery - Dataverse North● Individual schools are responsible for their Dataverses and support deposits and data curation● Digital preservation with Archivematica pipeline● ~1,700 Datasets managed, 25,500 data files and growing...17Image by https://www.flickr.com/photos/40032755@N06/ 183. Institutional Data Policy“Each institution administering Tri-Agency funds is required to create an institutional research data management strategy. The strategy will outline how the institution will provide its researchers with an environment that enables and supports world-class research data management practices”University of British Columbia ● University of British Columbia (UBC) is a public research university with two campuses● The university is ranked among the top 20 public Universities worldwide● 65,000 students, 5,500 Faculty, and 10,000 staff* Image - https://www.flickr.com/photos/ubcpublicaffairs/ 19UBC Work with RDM● Started around 2014 in the Library - https://researchdata.library.ubc.ca/● Working with the Advanced Research Computing (ARC) since 2015 - https://arc.ubc.ca/ ● UBC's institutionally-dedicated service for researchers across all disciplines working on questions that have large data and computational needs* Image - https://www.flickr.com/photos/wwworks/20UBC Work with RDM● Support throughout data lifecycle● Library’s focus is on the bookends of data lifecycle - Plan, Share and Preserve● ARC’s focus is on Collect, Store and Analyse● Very much integrated as a team - https://arc.ubc.ca/about-arc/arc-team 21UBC Work with RDM● Dataverse as one of four UBC Library repositories - https://dataverse.scholarsportal.info/dataverse/ubc (Others - DSpace, CONTENTdm, and AtoM)● DOIs service with more than 250,000 DOIs minted and resolving● Digital preservation is done with the Archivematica software 22Year DOIs accessedNotes2016 1,512,2072017 4,435,3032018 1,326,4352019 128,438 Three months only (until March)UBC Work with RDM● One discovery interface - Open Collections - https://open.library.ubc.ca/ with robust APIs, common metadata model, metadata crosswalks, and enhanced discovery (including Google Scholar and Google Data) - 23Future work...● Integrate Canadian research data with OpenAIRE (fall 2019)● National funding for repositories - FRDR and Dataverse, including services: curation, preservation, metadata, and discovery● Simplify digital preservation for research data with Archivematica...24Image - https://www.flickr.com/photos/developmentseed/Questions?                                                                   Image - https://www.flickr.com/photos/debord/ 25

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