Open Collections

UBC Library and Archives

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

Your browser doesn't seem to have a PDF viewer, please download the PDF to view this item.

Item Metadata


494-Barsky_Eugene_Getting_hands_dirty_ACCOLEDS_2016.pdf [ 2.56MB ]
JSON: 494-1.0339936.json
JSON-LD: 494-1.0339936-ld.json
RDF/XML (Pretty): 494-1.0339936-rdf.xml
RDF/JSON: 494-1.0339936-rdf.json
Turtle: 494-1.0339936-turtle.txt
N-Triples: 494-1.0339936-rdf-ntriples.txt
Original Record: 494-1.0339936-source.json
Full Text

Full Text

Getting Your Hands Dirty with Research Data Management (RDM) - ACCOLEDS 2016November 2016Eugene Barsky, UBCeugene.barsky@ubc.ca Image by 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 - - Data richImage - Data richData poor...Image - Image -  What issues are raised in this video?Data Sharing and Management Snafu in 3 Short Acts 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 - Data Lifecycle● Let’s take a look - Image - Federal Mandates in the U.S.From Developing data services: a tale from two Oregon universities - 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 - expectationsfor RDMResearchers:- Incorporate RDM best practices (in their discipline)- Develop Data Management Plans (DMPs)- Follow institutional policies and standardsImage - 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 - 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 - 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 - Tools● In Canada - Portage’s DMP Assistant: (CAF authentication coming soon)● In US (for NSF, NIH, NOAA, etc) - Data Management Planning Tool:  Image -  Metadata and Documentation● Metadata is often described as “data about data” ● It helps answer the questions: who?what?where? when? why?Image - Naming● Downloadable instructions –● DataGuide, page 9Image - 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 - Standards● Many disciplines have metadata standards: e.g. DDI, Dublin Core, Darwin Core ● List of standards in your field - Image - Data Documentation● At the very least you should document your data in a readme.txt file stored alongside your data● DataGuide, page 8Image -   Data Storage and Security● Where do you store your data?● Do you secure it?Image -  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: UBC provides● WestGrid Data Storage network● UBC’s Storage Grid ● UBC’s Workspace 2.0● Talk to your IT admins!Image - File Formats● Downloadable instructions – to stay with:➢ Non-proprietary➢ Open, with documented standards➢ Used by your community➢ Encoded using standard character encoding➢ Uncompressed● DataGuide, page 11-12Image -  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 - Data Sharing and Re-use Why share data?● Transparency and integrity● Promote innovation and collaboration● Required by funding agencies or journals:○ PLoS - ○ JDAP - - 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 - How to Share Data● UBC Abacus Dataverse● License ● Data Citation● DOIs ● Version control● Integrity checks● Preservation ● Granular access for sensitive data● Other repositories - Image -  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 - Image -  Digital Object Identifiers (DOIs)- DOIs are digital identifiers of a digital or physical object- Persistent URL- Metadata package (Datacite metadata)Image - What is a DOI?- ISO standard- Overseen by the International DOI Foundation (IDF)- Datacite Canada is Canadian Registration Agent (RA)Image - What is a DOI?- Could be issued for:- Articles- Books- Book chapters- Datasets- Images- Code- Almost anything on the WebImage - 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 - Why useful?- Discoverability!- DOIs are lingua franca - metadata speaks to Google, Crossref, VIVO, ORCID, Datacite, DataOne, and many more…Image - Here @ UBC- We issue DOIs for Library digital assets in Open Collections - Here @ UBC- We also developed a GUI to mint DOIs as a Library service- More info here - Image - UBC DOIs GUI@ 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 - How can we help?● Host and let you manage your data in UBC Abacus Dataverse ● Help you with DMPs - Image - Questions? Image - Case StudiesFour (4) Case Studies to choose from…Hands - on on creating DMPs


Citation Scheme:


Citations by CSL (citeproc-js)

Usage Statistics



Customize your widget with the following options, then copy and paste the code below into the HTML of your page to embed this item in your website.
                            <div id="ubcOpenCollectionsWidgetDisplay">
                            <script id="ubcOpenCollectionsWidget"
                            async >
IIIF logo Our image viewer uses the IIIF 2.0 standard. To load this item in other compatible viewers, use this url:


Related Items