Data Management Skillbuilding Hub

Best Practice: Recognize stakeholders in data ownership


Best Practices by Data Life Cycle

Recognize stakeholders in data ownership

Data Life Cycle stage(s): Preserve

When creating the data management plan, review all who may have a stake in the data so future users of the data can easily track who may need to give permission. Possible stakeholders include but are not limited to:

-Funding body -Host institution for the project -Home institution of contributing researchers -Repository where the data are deposited

It is considered a matter of professional ethics to acknowledge the work of other scientists and provide appropriate citation and acknowledgment for subsequent distribution or publication of any work derived from stakeholder datasets. Data users are encouraged to consider consultation, collaboration, or co-authorship with original investigators.

Description Rationale

Researchers are more willing to share their data if they are receive appropriate recognition for their contributions, and project sponsors, host institutions, data repositories, and researchers’ home institution may all have a stake in data ownership and require acknowledgment.

Additional Information

Eisenberg, Rebecca S. R. A. K. “Harnessing and Sharing the Benefits of State-Sponsored Research: Intellectual Property Rights and Data Sharing in California’s Stem Cell Initiative.” Berkeley Technology Law Journal. 21.3 (2006): 1187.

Evans, James. “Industry Collaboration, Scientific Sharing, and the Dissemination of Knowledge.” Social Studies of Science. 40.5 (2010): 757-791.


Example of citation for a database: Gregory, S. 2016. Aquatic Vertebrate Population Study, Mack Creek, Andrews Experimental Forest, 1987 to Present. Long-Term Ecological Research. Forest Science Data Bank, Corvallis, OR. [Database]. Available: (14 May 2018).



Cite this best practice:

Rebecca Lubas, Theresa Valentine, DataONE  (September 01, 2011) "Best Practice: Recognize stakeholders in data ownership". Accessed through the Data Management Skillbuilding Hub at on Aug 22, 2019


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