A data management plan describes data generated or used for a given project and states how that data will be created, managed, stored, accessed, and shared during and after a research project. The details of a data management plan will vary depending on the circumstances of the project, but each data management plan should strive to accurately describe the characteristics and context of the data and to outline the parameters for its preservation, access, and dissemination. There are a number of University Libraries' resources and national resources to support data management plan development.
The Libraries' Data Working Group will provide free consultation on the preparation of Data Management Plans for University faculty and researchers. To have the DWG review your plan, please email email@example.com one week in advance of your deadline.
National Science Foundation agency-wide elements of a data management plan may include:
|types of data (expected data)|
|metadata and standards for format and content
|policies for access and sharing|
|policies for re-use, re-distribution, and production of derivatives|
|short and long term storage and management (archiving and preservation)|
This is a general guide designed to inform the development of a data management plan. The elements below respond to the requirements of the National Science Foundation mandate for Data Management Plans and are based on several similar template documents. A given data management plan may not need to include each element listed below; however, it is helpful to think about each element when crafting a plan.
Download Guide (PDF)
The University of California Curation Center and the California Digital Library have created a DMP Tool, which generates data management plans based on the requirements of specific funding agencies. Users will receive step-by-step instructions and guidance for their data management plans.
Last Edited: 11 December 2014