Data Management Governance

Data management issues that are of campus-wide impact are discussed and addressed by the Research Computing Governance Committee (RCGC) Data Management Subcommittee. The RCGC is a shared governance committee comprised of a cross-departmental group of researchers and IT professionals with oversight of central research computing resources. It is sponsored by the Vice President of Research, the Chief Information Officer, the Dean of Libraries, and the Senior Vice President of Health Sciences. 

The Data Management Subcommittee Reports

  • From the fall 2015 to the spring 2017, the RCGC Data Management and Curation Subcommittee conducted the Data Management and Data Curation Pilot in collaboration with the UA Libraries (UAL), University Information Technology Services (UITS), and the UA Office of Research, Discovery, and Innovation (RDI). The pilot worked with five research projects through the data life cycle to evaluate data management services. This report includes an environmental scan, an overall summary of the pilot, details from each project, results of exit interviews with the project participants, and recommendations. 
     

    Final-DMDC Pilot_Report & Recommendations.pdf

    Final-DMDC Pilot_Report & Recommendations.pdf

    Data Management and Data Curation Pilot Report and Recommendations Prepared by Mary Bell and Christine Kollen. September, 2017

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  • In response to the National Science Foundation's mandate in early 2011 that all new proposals must include a two-page data management plan and the expectation that other agencies would follow suit, the Office of the Vice-President for Research (VPR) and the University Libraries charged the Committee to provide input on the following points: (1) The desirability of a University-wide strategy for data management in support of research activities (2) Identification of needed support mechanisms such as services, expertise, and technology (short term and long term) (3) Identification of the needed cyber infrastructure (short term and long term) (4) Organizational models and distribution of responsibility (short term and long term).
     

    final-recommendations_0.pdf

    final-recommendations_0.pdf

    Recommendations of the Campus Data Management and Curation Advisory Committee, November, 2011 

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