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What do I need to know about data management plans?

Take action

  • Identify the components of a good data management plan
  • Determine funding agencies' requirements for data management plans
  • Make all necessary provisions to adhere to your data management plan



  • University of California Curation Center of the California Digital Library. “DMPTool: Guidance and Resources for Your Data Management Plan.” DMPTool, 2013.

U.S. funding agencies such as the National Science Foundation and the National Institutes of Health require researchers to supply detailed, cost-effective plans for managing research data, called Data Management Plans. Several universities and organizations are developing the DMPTool to help researchers meet these new requirements.

This document contains the 118 headings and questions that make up the DCC's Checklist for a Data Management Plan (v3.0).  It also includes the default guidance that accompanies the headings and questions in the web-based data management planning tool, DMP Online.

The DCC has analysed UK funders’ policies and developed various data management resources in response.

  • Digital Curation Centre (DCC). “DMP Online: The DCC Data Management Planning Tool.” Accessed October 1, 2013.

DMP Online has been developed by the Digital Curation Centre to help researchers and research support staff produce data management plans (DMPs). These plans are increasingly required by research funders and institutions.



  • Grappone, Todd, and Patricia Cruse. CNI: Data Management Plans Online. San Diego, CA: Coalition for Networked Information (CNI), 2011.

Todd Grappone (Associate University Librarian, Digital Initiatives and Information Technology at the University of California, Los Angeles) and Patricia Cruse (Director, University of California Curation Center at the California Digital Library) presented at the Coalition for Networked Information Spring 2011 Membership Meeting.
  • Loo, Jeffrey. Preparing Data Management Plans for NSF Grant Applications. Berkeley, CA: University of California Berkeley Science Libraries, 2011.

A guide to the NSF policy for data management plans.



  • Dietrich, Dianne, Trisha Adamus, Alison Miner, and Gail Steinhart. “De-mystifying the Data Management Requirements of Research Funders.” Issues in Science and Technology Librarianship no. Summer (2012). doi:10.5062/F44M92G2.

As many academic libraries are beginning to offer or are already offering assistance in writing and implementing data management plans, it is important to consider how best to support researchers. Our research examined the current data management requirements of major US funding agencies to better understand data management requirements facing researchers and the implications for libraries offering data management services for researchers.

Reports on the move by the NSF and other federal agencies to emphasize the importance of community access to data.

Provides a list of Recommended Components for a data management plan along with Resources for Creating Plans.

Explains the NSF Data Sharing Policy, the NSF Data Management Plan Requirements, Requirements by Directorate, Office, Division, Program or other NSF Unit, and FAQs.

  • Sallans, Andrew, and Martin Donnelly. “DMP Online and DMPTool: Different Strategies Towards a Shared Goal.” International Journal of Digital Curation 7, no. 2 (December 6, 2012): 123–129. doi:10.2218/ijdc.v7i2.235.

This paper provides a comparative discussion of the strategies employed in the UK’s DMP Online tool and the US’s DMPTool, both designed to provide a structured environment for research data management planning (DMP) with explicit links to funder requirements. Following the Sixth International Digital Curation Conference, held in Chicago in December 2010, a number of US institutions partnered with the Digital Curation Centre’s DMP Online team to learn from their experiences while developing a US counterpart. DMPTool arrived in beta in August 2011 and released a production version in November 2011. This joint paper will compare and contrast use cases, organizational and national/cultural characteristics that have influenced the development decisions, outcomes achieved so far, and planned future developments.

Last updated on 10/02/13, 9:25 pm by tlchristian


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