Session 6 - Publish and Reuse

Description

In fulfilling requirements for publishing and reuse, researchers much choose where to publish their findings and where their data and related documentation will live for others to reuse. Ensuring that your persistent identifiers (ORCID, DOI, etc.) – for yourself and your work – are included to make yourself and your data Findable and if your data belongs in a domain-specific, generalist, or institutional repository. Additional considerations include if it is feasible to share your data, that your data includes enough context to explain the origins of your data, and that you’ve done the work to prevent/mitigate misuse of your data. It is always important to remember that just because you have the ability to/capacity to share, it doesn’t mean you should.

Questions

• Returning to the CARE Principles:
  • Is there a Collective benefit for sharing parts or all of your data?
  • Is there an agreement with the participants/communities/gatekeepers on the Authority to control where and how the data is shared? Are there any permissions or access restrictions? If so, what are they and how can they be accommodated?
  • How are you as the principal investigator/data collector/data analyst/curator Responsible once the data has been published and/or is shared/will be shared?
  • Is what (and how) you’re sharing Ethical? Are “best practices” and similar considerations enough?

Resources

• Yoon, A., Data reusers’ trust development in Journal of the Association for Information Science and Technology, 68: 946-956 (June 2016)
• Khodyakov, D., Mikesell, L., Schraiber, R., Booth, M., and Bromley, E., On using ethical principles of community-engaged research in translational science in Translational Research, 171 (May 2016)
• Responsible Datasets in Context
• Pasquetto, I. V., Cullen, Z., Thomer, A., and Wofford, M., What is research data “misuse”? And how can it be prevented or mitigated? in Journal of the Association for Information Science and Technology, 75(12), 1413–1429 (July 2024)
• Post45 Data Collective
• Huvila, I., & Sinnamon, L. S., When data sharing is an answer and when (often) it is not: Acknowledging data-driven, non-data, and data-decentered cultures in Journal of the Association for Information Science and Technology, 75(13), 1515–1530 (October 2024)
• O’Brien, M., Duerr, R., Taitingfong, R., Martinez, A., et al., Earth Science Data Repositories: Implementing the CARE Principles in Data Science Journal, 23: 37, pp. 1–29 (July 2024)