Many funding agencies require data from sponsored projects to be shareable and accessible by those within and beyond the academic community. However, there are several factors to consider when sharing data, such as security, legal/ethical/commercial constraints, and discoverability. The resources below provide support in best practices for sharing data:
- Organization: DataCite
Link: https://datacite.org/
Contains: Global provider of DOIs for research data.
- Organization: DataONE Education Modules
Link: https://www.dataone.org/education-modules
Contains: Lessons on all phases of the research lifecycle involving data. For specific best practices on sharing data, see Lesson 2: Data Sharing.
- Organization: FAIRsharing.org
Link: https://fairsharing.org/
Contains: A resource for researchers in academia, industry, and government to learn how to use data sharing resources, and how to make data and digital outputs more discoverable.
- Organization: MANTRA Research Data Management Training
Link: https://mantra.edina.ac.uk/sharingpreservationandlicensing/
Contains: This particular linked training provides information on best practices in sharing data.
- Organization: Open Data Handbook from Open Knowledge International
Link: http://opendatahandbook.org/
Contains: Guides, case studies, and resources for government & civil society on the "what, why, & how" of open data.
- Organization: ORCID
Link: https://orcid.org/
Contains: A platform for creating a persistent digital identifier that supports automated linkages between a researcher and their professional outputs.
- Organization: University College London Library Services
Link: https://www.ucl.ac.uk/library/research-support/research-data-management/best-practices/how-guides/sharing-data
Contains: A guide for when, how, and why to share research data.