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Rubrics for DMPs

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Using community-generated rubrics to evaluate data management plans. Presented at the Research Data Network workshop, St Andrews, 30 Nov 2016

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Rubrics for DMPs

  1. 1. Using community-generated rubrics to evaluate data management plans. Progress to date…
  2. 2. Data management plan As a Research Tool (DART) Amanda Whitmire | Stanford University Libraries Jake Carlson | University of Michigan Library Patricia M. Hswe | Pennsylvania State University Libraries Susan Wells Parham | Georgia Institute of Technology Library Brian Westra | University of Oregon Libraries This project was made possible in part by the Institute of Museum and Library Services grant number LG-07-13-0328. DARTTeam 24 Feb. 2016 2 @DMPResearch @DMPResearch
  3. 3. 5 June 2015 3 DART Premise DMP Research Data Management needs practices capabilities knowledge researcher
  4. 4. 27 Oct 2015 4 Solution: an analytic rubric Performance Levels PerformanceCriteria Winning Okay No Thing 1 Thing 2 Thing 3 @DMPResearch
  5. 5. 27 Oct 2015 5 Performance Level Performance Criteria Complete / detailed Addressed issue, but incomplete Did not address issue Directorates GeneralAssessment Criteria Describes what types of data will be captured, created or collected Clearly defines data type(s). E.g. text, spreadsheets, images, 3D models, software, audio files, video files, reports, surveys, patient records, samples, final or intermediate numerical results from theoretical calculations, etc. Also defines data as: observational, experimental, simulation, model output or assimilation Some details about data types are included, but DMP is missing details or wouldn’t be well understood by someone outside of the project No details included, fails to adequately describe data types. All Directorate-ordivision- specificassessmentcriteria Describes how data will be collected, captured, or created (whether new observations, results from models, reuse of other data, etc.) Clearly defines how data will be captured or created, including methods, instruments, software, or infrastructure where relevant. Missing some details regarding how some of the data will be produced, makes assumptions about reviewer knowledge of methods or practices. Does not clearly address how data will be captured or created. GEO AGS, GEO EAR SGP, MPS AST Identifies how much data (volume) will be produced Amount of expected data (MB, GB, TB, etc.) is clearly specified. Amount of expected data (GB, TB, etc.) is vaguely specified. Amount of expected data (GB, TB, etc.) is NOT specified. GEO EAR SGP, GEO AGS @DMPResearch
  6. 6. Our rubrics project timeline: February 2016 Workshop presentation at International Digital Curation Conference 2016 (Amanda Whitmire) March 2016 Initial call for interest on RESEARCH-DATAMAN@JISCMAIL.AC.UK April 2016 Breakout session at Research Data Management Forum 15 June 2016 Allocation of participants to working groups and distribution of links and documents September 2016 Target date for completion of first drafts November 2016 Target date for second drafts and start of consultation with funders January 2017 Get rubrics hosted on Research Data Network for community access
  7. 7. Outcomes from initial meeting: • Recruitment of 34 participants: • 24 Universities • 2 research institutes • 1 data centre • 1 funder • List of funders for which Data Management Plan rubrics should be developed • all Research Councils UK funders • Cancer Research UK • Wellcome Trust • European Commission’s Horizon 2020 programme • National Institute for Health Research • A general agreement on how to organise the project • a distributed collaborative effort via Google docs and sheets including template • A list of potential ‘things to consider’ • An offer from JISC to host the rubrics on the Research Data Network
  8. 8. Our process: 1 Identify the documents which will inform each rubric. 2 Develop a list of performance criteria for each data management plan 3 Develop descriptions of what constitutes each level of performance for each performance criteria. 4 Gather feedback on descriptions from working group / other participants. 5 Incorporate feedback into descriptions 6 Send completed draft rubrics to relevant funders for feedback and discussion 7 Incorporate funder feedback as appropriate 8 Make rubrics available to community via the Research Data Network 9 Update rubrics when input documentation / funder guidance changes (ideal) or when changes occur and someone has time (pragmatic)!
  9. 9. Where we are now: We set out to create rubrics for 11 funders… we currently have: 6 completed rubrics (BBSRC, EPSRC, NERC, Wellcome, CRUK (basic research), ESRC) 2 draft rubrics which are almost complete (MRC, CRUK (population research)) 2 outline drafts which need descriptions (AHRC, STFC) 2 rubrics which have not yet been worked on (H2020, NIHR) We intend to invite funders to review the rubrics and provide feedback… so far: 4 rubrics have been sent to reviewers for feedback (BBSRC, EPSRC, NERC, Wellcome) 3 rubrics are almost ready to be sent out (ESRC, MRC, CRUK (both versions)) We intend to make rubrics available as a community resource on the Research Data Network An early draft of the BBSRC rubric is currently available Other rubrics will become available once we have funder feedback
  10. 10. Next steps: Continue to work on the rubrics which are not yet finished… Get all of the rubrics out to funders for discussion and feedback… Use the rubrics as a tool to illustrate to funders that their expectations don’t match the text space they provide (BBSRC, we’re looking at your Joint Electronic Submission form here!) Make the rubrics available as a community resource
  11. 11. The future… Can we use the rubrics for more than just in-house evaluation of DMPs? Training resource – for researchers / reviewers of DMPs? Other uses? Do we want to use the rubrics to gather data on how data management is done / communicated in our institutions? This was a secondary output from the DART project and the data the team obtained was used to inform their subsequent data management training processes, and to identify good practice in certain sectors. How will we keep the rubrics from becoming obsolete? Do we want a project blog to publicise / document the project?
  12. 12. Thanks to: The DART project team: Amanda Whitmire Jake Carlson Patricia M. Hswe Susan Wells Brian Westra DART project slides were made available under a CC-BY licence. The UK DMP Rubrics team: Lee Bartlett Christina McMahon Libby Bishop Kerry Miller Fay Campbell Ben Mollitt Gareth Cole Niall O’Loughlin Grant Denkinson Georgina Parsons Mary Donaldson Stephen Pearson Chris Emmerson Wayne Peters Jamie Enoch Rachel Proudfoot Jenny Evans Hardy Schwamm Federica Fina Cheryl Smythe Stephen Grace John Southall Laurence Horton Isobel Stark Danielle Hoyle Paul Stokes Sarah Jones Marta Teperek Gareth Knight Mandy Thomas Frances Madden Laurian Williamson Michelle Mayer James Wilson