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Data Management and Sharing Plans: Data Sharing Plans

How to approach developing a Data Management or Data Sharing Plan to meet funder requirements

What is a Data Sharing Plan?

Like a data management plan (DMP), a Data Sharing Plan provides a guide for how researchers will manage, share and disseminate their data .  A Data Sharing Plan typically describes:

  • What data will be produced as a part of the project
  • How each type of data will be organized, documented, shared and dissemination, with the intent that the data can be discovered, accessed, and used/reused after the life of the project
  • Who will take responsibility for carrying out the activities listed above, and
  • When these activities will take place over the course of the project (and beyond) 


National Oceanic and Atmospheric Administration Data Sharing Policy (2012)

FAQ on Data Sharing NIH

FAQ on Daa Sharing NSF

What Should be in a Data Sharing Plan

Data sharing practices differ from field to field, and often project to project, but here are the main points to consider in a data sharing plan:

  • What data outputs will your research generate and which data will have value to other researchers?
    •   e.g., it may be possible that you won't share raw data, but rather a subset (cleaned/analyzed) that supports research findings
  • When will you share the data?
    • e.g., a dataset may be shared at time of publication, embargoed for 6-12 months, etc.
  • Where will you make the data available?
    • e.g., in an institutional repository like PURR, a national repository like NCBI, or a disciplinary repository like NCAR
  • How will other researchers be able to access the data?
    • e.g., download from repository, connect API, request via email
  • Are any limits to data sharing required - for example, to either safeguard research participants or to gain appropriate intellectual property protection?
    • e.g., original files may be prohibited from sharing due to consent form, but de-identified datasets or transcripts may be available
  • How will you ensure that key datasets are preserved to ensure their long-term value?
    • e.g., will a repository maintain data after project funding ends?
  • What resources will you require to deliver your plan?
    • e.g., many funder allow storage, curation charges as part of data sharing 

Purdue University Research Repository (PURR)

Video explaining benefits of PURR

Subject Guide

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Scott Brandt
Purdue University Libraries

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