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Understanding researcher practices

UNC Data Stewardship Report

In the spring of 2011, the UNC-Chapel Provost formed the Task Force on the Stewardship of Digital Research Data and charged its members with exploring the implications of data management for the University and making recommendations for University policy.  The Task Force investigated the data management landscape through research in the literature, conversations with faculty and staff, and an in-depth faculty survey designed and administered by the Odum Institute.  The resulting report was submitted to administrators in mid-February 2012 with recommendations for university policies and procedures.  While the recommendations specific to UNC have been redacted, the rest of the report is now publicly available.  Although the main body of the report reiterates material with which many in IASSIST will already be familiar, the appendices may be of interest.  Appendix 5 provides the interview questions for the group’s initial case studies of how faculty manage their research data, some of which are profiled in the text of the report.  Appendix 6 provides the instrument for the faculty survey; and Appendix 7 presents the summarized results of the survey, with a total of 2,765 respondents.

Research Data Management Training online course

The Research Data Management Training, or MANTRA project has produced an open, online training course for PhD and early career researchers to learn best practices in data management.

In addition to the interactive, online module which covers data management topics such as Organising Your Data, there are downloadable software modules covering data handling skills in SPSS, R, NVivo and ArcGIS.

The resource was created by EDINA and Data Library, University of Edinburgh, and was funded by the JISC Managing Research Data programme.

http://datalib.edina.ac.uk/mantra

Data Curation Profiles Toolkit

The Data Curation Profiles Toolkit enables librarians, archivists, and others to deepen their understanding of researchers' practices and needs regarding research data.

Data Asset Framework

The Data Asset Framework provides organisations with a survey methodology to identify, locate, describe and assess how they are managing their research data assets.  Designed for UK Higher Education Institutions.

  • IASSIST Quarterly

    Publications Special issue: A pioneer data librarian
    Welcome to the special volume of the IASSIST Quarterly (IQ (37):1-4, 2013). This special issue started as exchange of ideas between Libbie Stephenson and Margaret Adams to collect

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  • Resources

    Resources

    A space for IASSIST members to share professional resources useful to them in their daily work. Also the IASSIST Jobs Repository for an archive of data-related position descriptions. more...

  • community

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    Find out what IASSISTers are doing in the field and explore other avenues of presentation, communication and discussion via social networking and related online social spaces. more...