What Is Data Management & What Goes In a Plan?

A general introduction to what data management is, why it's important and some basics on how to write a plan to accomplish it.

What is data management?

Data management is the practice of organizing and describing your research data in such a way that another researcher will be able to understand it.  Good data management practice makes it easier to share and re-use data, leveraging the small pool of available funding so data are not lost but made available for future uses, such as enabling other researchers to replicate results or employing the data in new ways that could not be envisioned when they were first collected.  Data security and study participant protections must still be considered.

What is a data management plan?

A data management plan is a formal document that outlines what you will do with your data during and after you complete your research.  This includes policies for access, sharing, and re-use, as well as preservation of data.

Which agencies require a DMP?

Several agencies from a range of disciplines now require a data management plan as part of funding proposals: NSF, NIH, NASA, CDC, NEH, and IMLS.  More and more agencies are implementing requirements for DMPs, and funding agency data policies & guidelines vary.  Be sure to check the proposal guidelines for the specific agency to which you are applying.  Several address data sharing.  Here are links to a few funders important for our campus:

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