#  Data Management 

 



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 By depositing research data in a Dataverse repository (including the [Harvard Dataverse Repository](http://dataverse.harvard.edu/)) researchers can fulfill funding agency requirements for data management plans.

 Creation of a data management plan is a "best practice" for research projects that involve the collection or dissemination of data. Data management plans help to insure that data collected by a project have the integrity, quality, and provenance needed to support the proposed research; and that data necessary for external replication of research findings will be available to the research community.

 In addition, many organizations sponsoring research, including many federal agencies and non-profit foundations, require a formal data management plan. Examples of organizations sponsoring research that require a formal data management plan:

- [NIH Data Sharing Policy](http://grants.nih.gov/grants/policy/data_sharing/)
- [NSF Grant Proposal Guide (2013)](http://www.nsf.gov/pubs/policydocs/pappguide/nsf13001/gpg_index.jsp) and [NSF's Public Access Plan (2015)](http://www.nsf.gov/pubs/2015/nsf15052/nsf15052.pdf)
- [NIJ's Applying for Data Resources Program Funding](http://www.nij.gov/funding/data-resources-program/Pages/applying.aspx)

 [Contact us](mailto:support@dataverse.org) for assistance with putting together your data management plan. The [DMPTool](https://dmptool.org/) from California Digital Library is also a very helpful resource for guidance on data management plans.