[Rdap] Stumped

Lake, Sherry Heitchew (sah) sah at virginia.edu
Fri Sep 26 20:50:59 EDT 2014


Hi Daureen,

I think I have read some as well, but it's way past my work time here in the east, and it is Friday night. Here's an IMLS study that proposes to assess DMPs.



Data Management Plans as a Research Tool: The DART Project (IMLS National Leadership Grant LG-07-13-0328, $155,464)

Data management plans (DMP) provide a window into the detailed individual data management habits, capabilities and needs of faculty and their graduate students. Structured analysis of DMPs can provide insight into the kinds of data researchers are generating, and how they are managing those data in current and future projects. From the library's perspective, this information is fundamental to providing research data support services that are tailored to the needs of the faculty and students we aim to support. This two-year NLG-Libraries Demonstration Project, led by Oregon State University in collaboration with the University of Oregon, Purdue University, the Georgia Institute of Technology and Pennsylvania State University, will facilitate a multi-university study of faculty data management plans (DMPs). The primary outcome of the project will be the development of an analytic rubric to standardize the review of data management plans, providing a means to inform targeted expansion or development of research data services at academic libraries.

--
Sherry Lake


On Sep 26, 2014, at 8:18 PM, "Daureen Nesdill" <daureen.nesdill at utah.edu<mailto:daureen.nesdill at utah.edu>> wrote:

Hi,
I know I’ve come across a few articles reviewing faculty DMPs, but cannot seem to find them now when being asked for them.
Can anyone provide examples of reviews of DMPs at their universities?

Thanks,
Daureen

Daureen Nesdill MS, MLIS -Data Curation Librarian
The Faculty Center @ J. Willard Marriott Library
University of Utah
295 South 1500 East, Salt Lake City UT 84112-0860
801-585-5975
daureen.nesdill at utah.edu<mailto:daureen.nesdill at utah.edu>
Subject areas Data Management, the Sciences and Engineering











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