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Data Life Cycle stage(s): Plan   Collect   Integrate   Assure   Preserve   Describe   Discover   Analyze

When first sharing research data, researchers often raise questions about the value, benefits, and mechanisms for sharing. Many stakeholders and interested parties, such as funding agencies, communities, other researchers, or members of the public may be interested in research, results and related data. This lesson addresses data sharing in the context of the data life cycle, the value of sharing data, concerns about sharing data, and methods and best practices for sharing data.



Cite this lesson:

DataONE Community Engagement & Outreach Working Group (2017) "Data Sharing". Accessed through the Data Management Skillbuilding Hub at https://dataoneorg.github.io/Education/lessons/02_datasharing/index on Aug 31, 2020