• Like
Sallans RDAP11 NSF Data Management Plan Case Studies
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

Sallans RDAP11 NSF Data Management Plan Case Studies

  • 665 views
Published

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

  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
No Downloads

Views

Total Views
665
On SlideShare
0
From Embeds
0
Number of Embeds
0

Actions

Shares
Downloads
8
Comments
0
Likes
2

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. 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
  • 2. Outline
    • DMP templates
    • Advising/consulting with researchers
    • Expansion of DMP Online tool
  • 3. 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
  • 4. 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)
  • 5. 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
  • 6. 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
  • 7. 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)
  • 8. 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
  • 9. 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?)
  • 10. 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