2018 AIChE Annual Meeting
(565c) Teaching the Data Management Plan (DMP) to Graduate Students
A RDM graduate course was developed and co-taught by a librarian and faculty member with an active research program.[1] This course was designed to provide the students a focused application of RDM to active research projects. The course included tools for developing both types of DMPs and student assignments on both types of DMPs. Following instruction on the use of DMPtool.com[2], an individual student assignment required preparation of a funding agency type DMP based on the agency providing the funding for the studentâs project. The Purdue Data Curation Profiles toolkit [3] was then used as a tool to develop a project based DMP for an active research project as an end-of-semester team project.
The focus of this presentation will be an examination of DMPs and how and what should be taught in a graduate RDM course. Examples of DMP instruction from courses reported in the literature will be compared and contrasted. The differences between the two types of DMPs as well as the reasons behind them will be delineated and discussed. Terminology to differentiate the DMPs will be presented. The approaches and outcomes of teaching the two types of DMPs in our course will also be described and compared with the literature. Results and lessons learned from this approach will be discussed.
- Schmidt, L.O. and J.H. Holles, A Graduate Class in Research Data Management. Chemical Engineering Education, 2018. 52(1): p. 52-59.
- University of California Curation Center, Data Management Plan Tool. 2014; Available from: https://dmptool.org/.
- Carlson, J., The Data Curation Profiles Toolkit: User Guide, in Data Curation Profiles Toolkit 2010; Available from: http://datacurationprofiles.org/.