About the Work

"Learning Data Ethics for Data Sharing" is an Open Educational Resource (OER) for library students, data librarians, or researchers interested in learning how to ethically share data into data repositories. Often DEIA topics are discussed in terms of data collection or in regards to public use of data; this work attempts to target responsible ethics at the process that is occurring while preparing to share data, with the goal of creating FAIR access to the data and reusability for future research. 

Keywords: open data, data publishing, data ethics, responsible data, data curation, research data management, repositories

Last Updated: October 31, 2022 (v.1.0)


This work is licensed under a Creative Commons Attribution 4.0 International License

About the Author

Lynnee Argabright is the Research Data Librarian at University of North Carolina-Wilmington (UNCW). She provides guidance about collecting, using, managing, and sharing data in research, through instructional workshops or individual consultations. Since joining UNCW in August 2021, she has initiated and been involved in several programs, including Love Data Week, Scholarly Research Services workshops, Data Management Plan review, Responsible Conduct of Research instruction, and is an ex-officio member of the university's IRB Full Review Board. Lynnee has previous work experience in areas such as open access outreach, bibliometric network analysis visualization, finding economic data, and higher education textbook and monograph publishing.

Research engagement posted at https://orcid.org/0000-0001-6814-6485

If you have any comments or questions about this work, please contact the author at the email provided in the ORCID link above.

About the Funded Project

This work is part of the Scholarly Communication Notebook (SCN), a repository of community-designed and curated open resources for teaching about scholarly communication and for doing scholarly communication work in libraries. The SCN is explicitly intended to support, educate and represent a diversifying workforce of LIS professionals. It intends to extend social justice values to all participants by intentionally and thoughtfully reflecting the broad range of people, institution types, and service models engaged in scholarly communication work. For more background see the OER + Scholarly Communication project site.

The SCN, within which this Data Ethics OER is contributing, is part of a IMLS-supported (LG-72-17-0132-17; LG-36-19-0021-19) project.