DMP

DATA MANAGEMENT PLANS: TIPS FROM DCL 19-069

Dear Colleague Letter (DCL) 19-069 was recently issued to highlight two key practices of effective data management and two tools to produce a data management plan (DMP) that meets NSF requirements.

Two key practices:

1. Persistent IDs for Data: Make your data discoverable, citable, and linkable by assigning a persistent identifier, often available through your home institution.

2. Machine-readable DMP: Ensure that the plan for managing, disseminating, and sharing your data and associated resources is in a format that can be read by a computer.  Using a standardized template is a good way to make the elements of the plan clear and easily modifiable as needs of the project evolve over time.

Two key tools:

DCL 19-069 cites two free tools for creating machine-readable DMPs. Neither is required to be used.

A graphic of a wrench against a background of a cog

1. ezDMP: This tool was developed to ensure that proposals submitted to NSF include clearly organized DMPs. Funded through an EAGER grant, (NSF award 1649703), ezDMP includes links to updates from the Directorate of Biology on DMPs as well as a list of biology-specific repositories.

2. DMPTool: This tool provides a click-through wizard for creating a well-organized DMP based on templates from over 250 institutions and nearly 40 funding agencies, including NSF.

Other sources of information about NSF’s data management policy include:

All proposals submitted to NSF must include a data management plan regardless of the amount of data the project is expected to produce. The DMP requirement supports NSF’s policy on data sharing, which in turn, complies with a memorandum issued in 2013 requiring public availability of federally funded research and digital scientific data.

(Image credits: “Tips”: Aha-Soft/Shutterstock.com. Other: smahok/Shutterstock.com)