DMPTool

What is the DMPTool?

The DMPTool is a free, open-source, online application that helps researchers create data management plans. These plans, or DMPs, are now required by many funding agencies as part of the grant proposal submission process. 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.

DMPTool Background

The original DMPTool was a grassroots effort, beginning in 2011 with eight institutions partnering to provide in-kind contributions of personnel and development. The effort was in direct response to demands from funding agencies, such as the National Science Foundation and the National Institutes of Health, that researchers plan for managing their research data. By joining forces the contributing institutions were able to consolidate expertise and reduce costs in addressing data management needs. Representatives from these institutions participate on the DMPTool Steering Committee that maintains monthly calls.

The original contributing institutions were: University of California Curation Center (UC3) at the California Digital Library, DataONE, Digital Curation Centre (DCC-UK), Smithsonian Institution, University of California, Los Angeles Library, University of California, San Diego Libraries, University of Illinois, Urbana-Champaign Library, and University of Virginia Library. Given the success of the first version of the DMPTool, the founding partners obtained funding from the Alfred P. Sloan Foundation to create a second version of the tool, released in 2014.

More recently the proliferation of open data policies across the globe has led to an explosion of interest in the DMPTool and the UK-based version, DMPonline. In 2016 UC3 and DCC decided to formalize our partnership to codevelop and maintain a single open-source platform. The new platform—DMPRoadmap—is separate from the services each of our organizations runs on top of it. By providing a core infrastructure for DMPs we can extend our reach and move best practices forward, allowing us to participate in a truly global open science ecosystem.

Future enhancements will focus on making DMPs machine actionable so please continue sharing your use cases. We invite you to peruse the DMPRoadmap GitHub wiki to learn how to get involved in the project.

https://dmp.cdlib.org/