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Research Data Management in Academic Libraries: Meeting the Challenge
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Research Data Management in Academic Libraries: Meeting the Challenge

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TLA Program Committee sponsored Preconference talk from Texas Library Association Conference 2013. ...

TLA Program Committee sponsored Preconference talk from Texas Library Association Conference 2013.
CPE#388: SBEC 1.0; TSLAC 1.0
April 24, 2013; 4:00 -4:50 pm
Managing research data is a hot topic in academic libraries. With increased government oversight of publicly-funded research projects, librarians must strive to meet the demand for innovative solutions for managing research information and training the new eneration of librarians to address this issue.

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  • 1. Research DataManagement inAcademic LibrariesMeeting the ChallengeSpencer D. C. KeralisDirector for Digital Scholarship,Research Associate Professor@hauntologist | spencer.keralis@unt.edu#TXLA13 | #DMLib@
  • 2. • What we talk about when we talk about Data• The Problem of Data• Research in Data Curation Education• Research in Data Management Policy &Practice• Why Open Data?• Why Libraries?
  • 3. • What we talk about when we talk about Data• The Problem of Data• Research in Data Curation Education• Research in Data Management Policy &Practice• Why Open Data?• Why Libraries?
  • 4. Research Data Management• NIH Data Management Plan Mandate (2003)– >$500K requires Data Sharing Plan– Public Access Policy for publications (2008)• NSF Data Management Plan Mandate (2010)• CDC, DoE, DoD, EPA, NASA, NEH-ODH, NIST,DoAg, DoEd all have DM Plan Requirements• White House OSTP Memo, February 22, 2013– digitally formatted scientific data resulting fromunclassified research supported wholly or in part byFederal funding should be stored and publiclyaccessible to search, retrieve, and analyze.
  • 5. everythingData is:necessary for reproducible science.Woods Hole Oceanographic Institute
  • 6. everythingData is:
  • 7. DCC Data Life Cycle Modelhttp://www.dcc.ac.uk/resources/curation-lifecycle-model
  • 8. http://epicgraphic.com/data-cake/
  • 9. Technology/InfrastructurePlanPreparePreservePublish
  • 10. Scholarly Communications• Project to Publication vector well known inLibraries – Open Access Repositories, SCLibrarians, IP, Citations, etc.• What about the data?• Competing interests: Must ensureIP, citation, access, embargoes, humansubjects privacy, etc. etc.• Who pays?
  • 11. • What we talk about when we talk about Data• The Problem of Data• Research in Data Curation Education• Research in Data Management Policy &Practice• Why Open Data?• Why Libraries?
  • 12. The Problem of Data• U.S. LIS & iSchoolscurricula woefullyinadequate for trainingdata professionals.• Lowest-ranking membersof research teamsresponsible for datacuration, without trainingor material support.http://www.clir.org/pubs/reports/pub154
  • 13. Few researchers are aware of thedata services that the library mightbe able to provide and seem toregard the library as a dispensary ofgoods (e.g., books, articles) ratherthan a locus for real-timeresearch/professional support.Jahnke, Lori, and Andrew Asher. 2012. The Problem of Data: DataManagement and Curation Practices Among University Researchers. TheProblem of Data, pp. 3–31. Washington, DC: Council on Library andInformation Resources.
  • 14. • What we talk about when we talk about Data• The Problem of Data• Research in Data Curation Education• Research in Data Management Policy &Practice• Why Open Data?• Why Libraries?
  • 15. Less than 8% of the [LIS] coursesqualified as data centric. Based oncourse codes assigned by theschools, these courses tended to benew, and some did not yet appearin course catalogs [,] being addedby institutions during theverification process. Data centriccourses were rarely required for LISdegrees, certificates, or othercredentials.Virgil E. Jr., Elin J. Bammerlin, and Carole L. Palmer. 2012. Education for DataProfessionals: A Study of Current Courses and Programs. Proceedings of the2012 iConference, 527–529. New York: Association for Computing Machinery.
  • 16. Given the improbability thatstudents will encounter a data-centric course in their line of study,students must be committed toconstructing a data-intensiveeducation for themselves in orderto come out of most existing U.S.LIS programs with the skills andknowledge necessary to supportthe needs of data-intensiveresearch.Spencer D. C. Keralis, 2012 Data Curation Education: A Snapshot TheProblem of Data, pp. 32–36. Washington, DC: Council on Library andInformation Resources.
  • 17. How can LIS education be changed and enhancedto result in well-prepared information professionals,scientists, and scholarsthat can take on the challenges and problems ofdigital curation, data management, and digitalpreservation,incorporating extensive training and practicalexperiencein the context of contemporary distributed learningand web-based courses?http://icamp.unt.edu/
  • 18. • What we talk about when we talk about Data• The Problem of Data• Research in Data Curation Education• Research in Data Management Policy &Practice• Why Open Data?• Why Libraries?
  • 19. The DataRes Project, funded by a Laura Bush 21stCentury Librarians grant from the IMLS, investigateshow the library and information science (LIS) professioncan best respond to emerging needs of research datamanagement in universities.DataRes is a collaboration between the University ofNorth Texas Libraries, the UNT College of Information,and the Council on Library and Information Resources.
  • 20. Project AimsGovernmental funding agency requirementNSFNEHNIHIMLSGoals:• Research consistent policies or programmaticimplementation from research institutions• Emerging patterns in data management (DM)policies• Research libraries and LIS responses• Curriculum and training development• Expectations of major stakeholders in the research cycle
  • 21. Digging Deeper:Text Analysis of Agency Guidance
  • 22. Preliminary Findings:Institutional Policy Scan
  • 23. Text Analysis:Institutional Policy Scan38 institutional policiesExample language:“The University recognizes the importance of datasharing in the advancement of knowledge andeducation.”(University of New Hampshire “UNH.VII.C.9”)An index of known policies, with links to the project data set will be available inFebruary 2013 at http://datamanagement.unt.edu/policies
  • 24. Survey FindingsIndividualDepartments8%Library48%Office ofResearch24%LIS School3%IT Department17%Where does your institution offer Data Management PlanSupport?
  • 25. University Interventions• University of Minnesota – Workshops & CECredit• UIUC – Liaison Librarians• Purdue & SDSU – Infrastructure &Supercomputing• California Digital Library – Repository andDMPTool
  • 26. Secondary Survey• Intended participants: VPs ofResearch, Deans, High-level Administrators– We feel we got a very clear picture from thelibrarian perspective with the initial survey– Questions were raised through the course of oursurvey analysis and research that we feel onlyinstitutional administrators will be able to answer.
  • 27. Key Takeaways• Institution-level policies are last response tooccur, if at all.• Research Data Management is not a singledepartment issue, nor is it the purview of a singlediscipline.• Collaboration, domain knowledge, andinfrastructure are all key to the success of any DMresponse.• Prescriptive guidance from agencies will benecessary to encourage disciplines to take DMPlan requirements seriously in evaluating fundingapplications.
  • 28. • What we talk about when we talk about Data• The Problem of Data• Research in Data Curation Education• Research in Data Management Policy &Practice• Why Open Data?• Why Libraries?
  • 29. Aaron Swarz1986-2013#pdftribute
  • 30. The Denton DeclarationMay 22, 2012 at the University of North Texas• Open access to research data is critical for advancingscience, scholarship, and society.• Research data, when repurposed, has an accretive value.• Publicly funded research should be publicly available forpublic good.• Transparency in research is essential to sustain the publictrust.• The validation of research data by the peer community isan essential function of the responsible conduct ofresearch.• Managing research data is the responsibility of a broadcommunity of stakeholders includingresearchers, funders, institutions, libraries, archivists, andthe public.
  • 31. http://openaccess.unt.edu/denton_declaration
  • 32. • What we talk about when we talk about Data• The Problem of Data• Research in Data Curation Education• Research in Data Management Policy &Practice• Why Open Data?• Why Libraries?
  • 33. Library + Data = __________The domain of Information Sciences:• Metadata• Controlled Vocabularies• Long-term preservation• Infrastructure• Discoverability• Accessibility• Reuse• Sustainability• Centrality/Neutrality
  • 34. Scholarly Communications• Open Access Repositories include Data associatedwith Publications• SC Librarians trained in Data IP• Develop protocols for DataPublication, Citations, etc.• Develop models for sustainable support of DataPublication and long term preservation andaccess• Buy in from OR, indirect costs• Invest in infrastructure
  • 35. The Fun Stuff• Data Visualization• GIS• Apps• STEAM in STEM• New Media Art• GamesJoy Division, Unknown Pleasures (1979)Graphic designer Peter Saville used signal datafrom a pulsar for this iconic image.
  • 36. LIS will need to develop strongerpartnerships with domainresearchers, informaticists, andother stakeholders in the researchenterprise, to succeed at makingresearch data an integral andenduring part of the informationassets retained for science andscholarship over the long term.Weber, Nicholas, Tiffany Chao, Carole L. Palmer, and Virgil E. Varvel Jr. 2011. Reporton the Data Curation Research Summit. Paper presented during the 6thInternational Digital Curation Conference, December 6, 2010, Chicago.Champaign, IL: Center for Informatics Research in Science & Scholarship, Universityof Illinois
  • 37. Keynote:Kathleen FitzpatrickDirector of ScholarlyCommunication, ModernLanguage AssociationAuthor of Planned Obsolescence:Publishing, Technology, and theFuture of the Academy (2011)May 30th & 31st 2013DallAs, TexasFutures ofAcademicPublishing
  • 38. http://www.library.unt.edu/datamanagementhttp://disco.unt.edu@UNTDiSCo@OASymposium@DataRes