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It proforum template final
It proforum template final
It proforum template final
It proforum template final
It proforum template final
It proforum template final
It proforum template final
It proforum template final
It proforum template final
It proforum template final
It proforum template final
It proforum template final
It proforum template final
It proforum template final
It proforum template final
It proforum template final
It proforum template final
It proforum template final
It proforum template final
It proforum template final
It proforum template final
It proforum template final
It proforum template final
It proforum template final
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It proforum template final

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  • 706 researchers responded to the survey. Of the respondents 48.8% were not aware of e-science. Of those aware, only 3.2% were actively practicing e-research.
  • Talked to both administrators and researchers
  • Some units have resources Some researchers have options for data encryption and protection through RedCap server/ infrastructure - file server, shared computing, VPN - limited to those working with in some units (not a campus wide resource) regulations were so burdensome to use the data for a secondary purpose, it became untenable. interest from getting GIS information, so you can look at neighborhoods, via zip codes, would like to share with other health care institutions (geocoding, mashups); (sharing on research side is more likely than sharing on the care side).
  • Transcript

    • 1. Research Data Management Library and Campus Collaboration to Support E-Research Sandra De Groote, MLIS Abigail Goben, MLS Robert J. Sandusky, PhD on behalf of the UIC Library E-Science Committee
    • 2. E-Research By Definition Collaboration Cyber- infrastructurePhoto by Simon Cockell (http://www.flickr.com/photos/sjcockell/3251147920/)
    • 3. Then Came the Mandates…
    • 4. Assessment on Campus• Survey – 2009• Interviews – 2011 – Part of ARL/DLF E-Science Institute
    • 5. Survey Results: Data Sharing & Storage26% responded that they were required to share data2/3 kept their data long term (5+ years) but generally used unreliable approaches and proprietary formats that fall short of preservationIndicated need for assistance in maintaining security and access to data as electronic formats changes over time as well as a need for information on storage methods and preservationMany indicated need for great data storage capacity including secure data repositories to facilitate data access, sharing, and discoverySee Poster for more
    • 6. ARL / DLF E-Science Institute• Environmental scan• Stakeholder interviews• SWOT analysis• Draft e-research strategic agenda• Capstone event (January 2012)• Final e-research strategic agenda for UIC
    • 7. Findings from Interviews• Health sciences researchers creating new data and also re-using data• Old data is available for repurposing but not accessible• Datasets dont have a place to be stored or shared locally (for some)• One group has a focus on building a clinical research data warehouse• Some researchers are interested in using others’ data but reluctant to share own
    • 8. More Findings from Interviews• Many researchers have data management needs but do not have the time to undertake or learn about data curation or developing data management plans• There is no central place to find faculty research or to determine faculty members research interests across the entire campus• Partial faculty profile system
    • 9. More Findings from Interviews• Central high performance computing cluster• Excellent bandwidth between UIC and Internet• Committing $ to improving research infrastructure• New IT governance (ITGC) structure may allow broader consideration of collaboration and improving communications – 4 subgroups – 2 focused on research and infrastructure
    • 10. RDM Best Practices and Library Goals• Relationships – ACCC, OVCR, colleges• Tools – Research and Subject Guides • Data Management Plans – DMPTool• Pilots – Engage 2 or 3 units in service development
    • 11. RDM Best Practices and Library Goals• Services – Data management planning – Metadata consulting – Matching research to data repositories – Campus standard identifier service – Semantic Web – Search and discovery for data
    • 12. RDM Best Practices and Library Goals• Education and outreach – Workshops and classes • Formats – Face-to-face – Online – Recorded • Various duration – 1 hour – Half day / full day – Semester long • Standalone or embedded in courses
    • 13. RDM Best Practices and Library Goals• Education and outreach – Campus programming • E-Research colloquium • Lecture series – Embedded librarians – Increase internal library expertise and capacity
    • 14. RDM Best Practices and Library Goals• Infrastructure and organization – UIC Research Data Repository – Policy development • Stewardship / curation • Ownership • Access control / data security • Selection • Retention • Researcher practices – Metrics / assessment
    • 15. RDM Best Practices and Library Goals• Infrastructure and organization – Faculty / researcher profile system – Scholarly Commons – Organizational structures
    • 16. RDM Best Practices and Library Goals• Infrastructure and organization – Sustainability • Funding • Policy • Governance • Partnership
    • 17. RDM Best Practices and Library Goals• Benefits to UIC researchers – Reduce collaboration friction – Reduce research management overhead – Services for all• Benefits to UIC – Cost efficient – Proposal competitiveness – Faculty recruitment and retention – Compliance – Knowledgeable faculty and students
    • 18. RDM Best Practices and Library Goals• Benefits: Broader Impacts – Open access to research outputs • Reuse  innovation, new knowledge • Preserve digital heritage • Access to publicly funded research – Reputation
    • 19. Key Partners
    • 20. Research Data Management Triangle Fa IT y cu ult lty F ac E-Research SupportLIBRARY OVCR Faculty
    • 21. Contact Us• sgroote@uic.edu• sandusky@uic.edu• agoben@uic.edu

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