Sharing Your Data


Why should I share my research data?

Sharing your research data with others allows you to: 

  • Comply with federal funding agency and journal publisher guidelines. 

    The federal government expects the results of pubically-funded research, including datasets, to be publically available. Several journals (such as Nature and PLoS ONE) also require that authors make their data available to readers. 
  • Increase your research impact. 

    Depositing your data in a data repository or publishing a "data paper" transforms your hidden data into visible, citable research outputs that can be listed on your CV or National Science Foundation biosketch.
  • Benefit the greater research community.

    Openly sharing your data allows other researchers to replicate your work or to reuse your data in new ways.

How can I share my research data?

  • Deposit your data in an external repository.

    Hundreds of data repositories can provide persistent storage and access to your research data. Browse DatabibOpenDOAR, or re3data to find a good home for your specific type of data. 
  • Deposit your data in a U-M repository

    Deep Blue is a permanent repository of all types of scholarly outputs, including research data. The Interuniversity Consortium for Political and Social Research (ICPSR) is an archive that preserves and promotes discovery of datasets in the social sciences.
  • Publish a "data paper." 

    A data paper is a detailed description of a publically available dataset with high re-use potential. Browse Preparde's list of data journals for a growing number of peer-reviewed journals that publish data papers. 

For assistance identifying an appropriate data repository/journal or preparing your data for submission, please email us.

What issues do I need to consider when sharing my data?

Depending on the type of data you are collecting, you may be able to share it in different ways.

  • Learn more about best practices for data sharing.

For learning materials on data sharing, contact Jared Lyle at the Inter-university Consortium for Political and Social Research (ICPSR), Lisa Neidert at the Institute for Social Research (ISR) or review the following presentations:

  1. Accessing Restricted-Use Data,
  2. Navigating Your IRB to Share Data,
  3. Confidentiality & Privacy in Social Science Data,
  4. Preparing Data for Sharing
  • Understand how copyright laws impact sharing data.

For advice on setting the terms and conditions for the re-use of your data & understanding permissions/ licenses of re-using data from other researchers contact Melissa Levine or review the overview of U-M copyright policies from the library's Copyright Office.

For assistance about negotiating complex legal, regulatory, and ethical issues of data sharing, contact Alex Kanous at the Office of Research & Sponsored Projects, Office of the Vice President for Research (OVPR)

  • Understand the responsibilities associated with sharing sensitive data.

Learn more about the economic, social, security or political risks associated with sensitive data involving individuals or human subjects in research by reviewing the following guidance from the Medical School, Health Sciences & Behavioral Sciences.

  • Comply with confidentiality and privacy requirements.

Find more resources about research compliance including responsible conduct of research, human research, animal research, HIPAA, clinical practice, and other topics from Research at U-M: Compliance Training

What is the latest news from the government and funding agencies about access and sharing data?

To learn more about government mandates to funding agencies, see the White House Office of Science and Technology Policy (OSTP) News and link to memo on “Increasing access to results of federally funded scientific research”


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Last modified: 06/14/2018