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Sallans RDAP11 NSF Data Management Plan Case Studies
 

Sallans RDAP11 NSF Data Management Plan Case Studies

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NSF Data Management Plan Case Studies ...

NSF Data Management Plan Case Studies

The 2nd Research Data Access and Preservation (RDAP) Summit
An ASIS&T Summit
March 31-April 1, 2011 Denver, CO
In cooperation with the Coalition for Networked Information
http://asist.org/Conferences/RDAP11/index.html

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    Sallans RDAP11 NSF Data Management Plan Case Studies Sallans RDAP11 NSF Data Management Plan Case Studies Presentation Transcript

    • Andrew Sallans Head of Strategic Data Initiatives / Scientific Data Consulting Group (SciDaC) University of Virginia Library Research Data Access and Preservation Summit 30 March 2011 NSF Data Management Plan Case Study: UVa’s Response
    • Outline
      • DMP templates
      • Advising/consulting with researchers
      • Expansion of DMP Online tool
    • Our organization
      • Mostly a virtual organization , coordination is priority
      • University Libraries
        • Scientific Data Consulting Group (2 FTE, 2 PTE)
        • Professional School Data Librarians
        • Subject Librarians
        • Attorney
        • IR Team
      • VP/Chief Information Officer
        • Info Security, Policy, and Records Office
        • Other infrastructure managers (ie. storage, networks, etc.)
      • Office VP for Research
      • Office of Sponsored Programs
    • NSF Data Management Plans
      • New NSF Directorates/Divisions continue to release and specify guidelines
        • Education and Human Resources (EHR)
        • Engineering (ENG)
        • Geological Sciences (GEO)
        • Mathematical and Physical Sciences (MPS)
        • Social, Behavioral, and Economic Sciences (SBE)
    • DMP Templates
      • Coordination of entire effort with VPR, CIO, and OSP
      • Inform researcher of the requirements for their respective directorate/program, try to help them make good decisions
      • Provide instructions for how to develop a DMP for that directorate/program (not just giving them a DMP)
      • Formatted template in the structure that is specified by the directorate/program (if not specified, use the general)
      • Encourage review/feedback on DMP draft from SciDaC before submission
      • We use a disclaimer to try and avoid liability for misunderstood advice or other points gone wrong
      • Available at : http://www.lib.virginia.edu/brown/data
    • Advising/Consulting to Researchers
      • Aiming to get in the front of the research process , to reduce the amount of extra work necessary for project wrap-up
      • Conducting data interviews/assessments (combination of many methods including UIUC/Purdue’s, DCC’s, and others) to establish a baseline with a given researcher
      • Involving subject librarians for collective learning and development of skills
      • Delivering a final assessment report and recommendations on data management process improvement to the researcher, with an open offer for consultation on how to implement the recommendations
    • Expansion of DMP Online Tool
      • Recognition of need for US version of DCC’s DMP Online Tool
      • Partnership developed between a number of institutions (CDL, UIUC, Smithsonian, UVa, DataONE, and DCC)
      • Seeking additional participation from many other institutions (already ICPSR)
    • DMP Online Tool (continued)
      • 5 user types for system (Researcher, Editor, Funder Admin, Institution Admin, Super Admin)
      • Multiple authentication options (using institutional options like Shibboleth as well as local system)
      • Starting with NSF DMP requirements , will expand to other funders quickly
      • Will provide institution-specific guidance , tied to authentication, and ideally make referral to local expertise
      • Open to everyone
      • Aiming to have a first version by around June (will be doing a big testing run first week of May with researchers and NSF officials at DataONE workshop)
      • Details available : http://www.cdlib.org/uc3/datamanagement/dmpo.html
    • Challenges ahead… (a selection)
      • Tighter coordination of services and support across the institution
      • Data ownership issues
      • Balance of priority (benefit to the institution or the researcher/community?)
      • Alignment of these efforts with community, national, international efforts for data management
      • Funding of the support services (part of overhead costs?)
    • Thank you!
      • Andrew Sallans
      • Head of Strategic Data Initiatives / Scientific Data Consulting Group
      • University of Virginia Library
      • Email: [email_address]
      • Twitter: asallans
      • http://www.lib.virginia.edu/brown/data