Reproducible Data Management: Make a Data Management Plan

The UCSF homepage for resources (including sample plans) and information about the new NIH DMS plan requirement

A table with all the NIH IC data sharing policies

Sample Data Management and Sharing Plans from NIH

NIH DMS plans written by UCSF researchers

AHRQ updated their data management plan requirements in Dec 2024. Templates are available on the
DMP Tool.

Includes links to approved repositories and sample data plans.

UCSF has created a working draft template of a Center for Medicare and Medicaid Services (CMS) Data Management Plan (DMP) as part of an ongoing effort to streamline access to CMS data. To access the template please contact Victoria So at victoria.so@ucsf.edu

Includes the Congressionally Directed Medical Research Program (CDMRP). Templates are available on the DMP Tool.

Instructions for satisfying the data requirements of their Open Access policy.

NSF has different requirements for each directorate and division within the agency. Templates are available on the DMP Tool.

This comprehensive questionnaire from Purdue University can help researchers think about all the different aspects of the research data lifecycle that should be addressed in a data management plan.

The DMPTool is a free, open-source, online application that helps researchers create data management plans. The DMPTool provides a click-through wizard for creating a DMP that complies with funder requirements. It also has direct links to funder websites, help text for answering questions, and resources for best practices surrounding data management.

This guide from ICPSR introduces data management planning, storage, and archiving for social scientists

This is a community resource for tracking, comparing, and understanding current U.S. federal funder research data sharing policies.

This article from PLoS Computational Biology details the steps in the data management planning process.

Provided by the UCSF RDO these templates are for researchers who need to address data and resource sharing in their grants. Note that these are not as comprehensive as a full data management plan.