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Getting Your Hands Dirty with Research Data Management (RDM) : ACCOLEDS 2016 Barsky, Eugene Nov 30, 2016

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Getting Your Hands Dirty with Research Data Management (RDM) - ACCOLEDS 2016November 2016Eugene Barsky, UBCeugene.barsky@ubc.cahttp://researchdata.library.ubc.ca/ Image by https://www.flickr.com/photos/40032755@N06/ Outline● General overview of RDM● Tri-Agencies approach to RDM● Best Practices for RDM● Hands-on DMPs - case studiesYou will also need UBC Library DataGuide (version 4.1, July 2016) –  a quick guide we have developed to get you started on Research Data Management.Image - https://www.flickr.com/photos/34547181@N00/Image - http://epicgraphic.com/metaphors/ Data richImage - https://www.flickr.com/photos/caterhamf1/ Data richData poor...Image - https://www.flickr.com/photos/hippie/ Image - http://goo.gl/H96iv0  What issues are raised in this video?Data Sharing and Management Snafu in 3 Short Actshttp://youtu.be/N2zK3sAtr-4Why Data ManagementProper data management can make it easier for you to:● Find your files● Keep track of different versions of your data● Organize and compile information at the end of a project● Reproduce your work (if required for a journal or patent)● Pass on your work to another researcher● Share your work● Satisfy grant requirements● Satisfy research ethics board and institutional requirements● Satisfy journal requirementsImage - https://www.flickr.com/photos/kenfagerdotcom/ Data Lifecycle● Let’s take a look - http://www.data-archive.ac.uk/create-manage/life-cycle Image - https://www.flickr.com/photos/gspragin/ Federal Mandates in the U.S.From Developing data services: a tale from two Oregon universities - http://www.slideshare.net/amandawhitmire/20140618-rml-rendezvousfinal In Canada...● Tri-Agency Statement of Principles on Digital Data Management - June 2016And you know about the Tri-Agency Open Access policy, right? - Feb 2015 Image - https://www.flickr.com/photos/twosevenoneonenineeightthreesevenatenzerosix/Tri-Agency expectationsfor RDMResearchers:- Incorporate RDM best practices (in their discipline)- Develop Data Management Plans (DMPs)- Follow institutional policies and standardsImage - https://www.flickr.com/photos/jdhancock/ Tri-Agency expectationsfor RDMFunders● Develop policy and requirements that facilitate responsible data management ● Provide clear guidance for fulfill RDM requirements● Promote the importance of excellent RDM● Provide peer-reviewers with guidance for applications assessment Image - https://www.flickr.com/photos/sonson/ Tri-Agency expectationsfor RDMInstitutions● Provide researchers access to repositories that securely preserve, curate and provide access to research data● Provide researchers with guidance to properly manage their data, including DMPs● Promote the importance of research data management to researchers, students and staffImage -https://www.flickr.com/photos/hms831/ Typical Data Management PlanA typical plan includes information about:● Types of data produced● Metadata or documentation standards● Data security and encryption● Data storage● Intellectual property rights● Data sharing● Data archivingImage - https://www.flickr.com/photos/cross_stitch_ninja/Online Tools● In Canada - Portage’s DMP Assistant: https://assistant.portagenetwork.ca/ (CAF authentication coming soon)● In US (for NSF, NIH, NOAA, etc) - Data Management Planning Tool: https://dmptool.org  Image -  https://www.flickr.com/photos/derpunk/  Metadata and Documentation● Metadata is often described as “data about data” ● It helps answer the questions: who?what?where? when? why?Image - https://www.flickr.com/photos/centralasian/File Naming● Downloadable instructions – http://researchdata.library.ubc.ca/organize/● DataGuide, page 9Image - http://library.umassmed.edu/necdmc/modules MetadataDescriptive: content and context of your data at both the dataset and item level.Examples: title, author, keywordsAdministrative: information needed to use the data.Examples: software requirements, copyrightStructural: how different data sets relate to one anotherExamples: Information about the relationship between data sets in a database, file formatsImage - https://www.flickr.com/photos/wakingtigerMetadata Standards● Many disciplines have metadata standards: e.g. DDI, Dublin Core, Darwin Core ● List of standards in your field - http://www.dcc.ac.uk/resources/metadata-standards Image - https://www.flickr.com/photos/pamilne/ Data Documentation● At the very least you should document your data in a readme.txt file stored alongside your data● DataGuide, page 8Image - https://www.flickr.com/photos/karola/   Data Storage and Security● Where do you store your data?● Do you secure it?Image - https://www.flickr.com/photos/ian-s/  Data Storage 3-2-1 backup rule:● Have at least three copies of your data● Store the copies on two different media● Keep one backup copy offsite● DataGuide, page 11Image: https://www.flickr.com/photos/hi-phi/14699924741What UBC provides● WestGrid Data Storage network● UBC’s Storage Grid ● UBC’s Workspace 2.0● Talk to your IT admins!Image - https://www.flickr.com/photos/pascalcharest/ File Formats● Downloadable instructions – http://researchdata.library.ubc.ca/format/Try to stay with:➢ Non-proprietary➢ Open, with documented standards➢ Used by your community➢ Encoded using standard character encoding➢ Uncompressed● DataGuide, page 11-12Image - https://www.flickr.com/photos/chiselwright/  Data Security● Network security  Who has access to the network? Are there firewalls?● Physical security  Who has access to the computers? Who can access physical files? How is data transported?● Computer security Is anti-virus software up to date? Are you protected against power surges? Do you use passwords and firewalls? Is data encrypted? Is data storage secure?● UBC IT encryption service Image - https://www.flickr.com/photos/toxi/ Data Sharing and Re-use Why share data?● Transparency and integrity● Promote innovation and collaboration● Required by funding agencies or journals:○ PLoS - http://goo.gl/mP0JBS ○ JDAP -  http://datadryad.org/pages/jdapImage - https://www.flickr.com/photos/developmentseed/ Why data management - Journal policies in workSource - Vines, Timothy H., et al. "Mandated data archiving greatly improves access to research data." The FASEB journal 27.4 (2013): 1304-1308.Challenges to Sharing Data● Privacy or ethical issues○ Compliance with institutional (e.g. BREB) or other regulations○ De-identify data○ checklist from UBC ARC● Intellectual property issues (e.g. third-party data, co-authors)Image - https://www.flickr.com/photos/blprnt/ How to Share Data● UBC Abacus Dataverse● License ● Data Citation● DOIs ● Version control● Integrity checks● Preservation ● Granular access for sensitive data● Other repositories - re3data.org Image - https://www.flickr.com/photos/jwyg/  Dataverse - Live presentation10-15 min of live presentation, driving UBC Abacus Dataverse:● Create and change records● Metadata, types of metadata, standards● Uploading files, large files, zipping● Version control● Tabular analysis in your browser● Granular access to datasets: public, institutional, groups● UNFs for data analysis● OAI for discoverabilityData Discovery from Dataverse- Via OAI - Summon / Dataverses, ODESI- Via OAI into the Federated Research Data Repository (FRDR) - Via DOIs to Datacite, DataOne, Google, VIVO, ORCID, etc…- Best Practices for Discovery - Portage White Paper - June 2016 - https://dx.doi.org/10.14288/1.0307548 Image - https://www.flickr.com/photos/62855773@N08/  Digital Object Identifiers (DOIs)- DOIs are digital identifiers of a digital or physical object- Persistent URL- Metadata package (Datacite metadata)Image - https://www.flickr.com/photos/wakingtiger/ What is a DOI?- ISO standard- Overseen by the International DOI Foundation (IDF)- Datacite Canada is Canadian Registration Agent (RA)Image - https://www.flickr.com/photos/pamilne/ What is a DOI?- Could be issued for:- Articles- Books- Book chapters- Datasets- Images- Code- Almost anything on the WebImage - https://www.flickr.com/photos/georgmayer/ Why useful?- Persistent URL- Your links don’t break!- For that... you actually need a resolver (e.g. handle, PURL, etc)... talk to your library! Image - https://www.flickr.com/photos/ursonate/ Why useful?- Discoverability!- DOIs are lingua franca - metadata speaks to Google, Crossref, VIVO, ORCID, Datacite, DataOne, and many more…Image - https://www.flickr.com/photos/renemensen/ Here @ UBC- We issue DOIs for Library digital assets in Open Collections - https://open.library.ubc.ca/ Here @ UBC- We also developed a GUI to mint DOIs as a Library service- More info here - http://researchdata.library.ubc.ca/plan/get-dois/ Image - https://www.flickr.com/photos/lestropie/ UBC DOIs GUI@ https://doi.library.ubc.ca/ Here @ UBC- We sign the license with Datacite Canada (NRC/CISTI)- Flexible DOIs -- One-offs vs. CSV vs. programmatically- Happy to collaborate with others on campus and beyond...Image - https://www.flickr.com/photos/stevendepolo/ How can we help?● Host and let you manage your data in UBC Abacus Dataverse ● Help you with DMPs - https://assistant.portagenetwork.ca/ Image - https://www.flickr.com/photos/danielygo/ Questions? Image - https://www.flickr.com/photos/debord/ Case StudiesFour (4) Case Studies to choose from…Hands - on on creating DMPs

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