Published October 28, 2022 | Version v1
Presentation Open

WorldFAIR Chemistry: FAIR-enabling resources

  • 1. Cornell University, NY, US
  • 2. The Cambridge Crystallographic Data Centre (CCDC)
  • 3. University of North Florida: Jacksonville, FL, US

Description

This presentation was delivered at the FAIR Convergence Symposium (24-26 October) which took place hybrid in Leiden 2022: European City of Science. The 2nd FAIR Convergence Symposium (24-26 October) was co-organized by CODATA and GO FAIR. The event explored the contention that the FAIR guiding principles to enhance the machine actionability of data and other information.

Along with the other five case studies, the chemistry case discussed how they created their FAIR Implementation Profiles (FIPs) and offered reflections on what they learned from the process, whether using FIPs helped describe FAIR practices, whether the FIP helped identify any gaps or areas that would benefit from further attention, how the FIPs methodology and the tools associated with it can be improved, and how they determined their next steps.

*WorldFAIR “Global cooperation on FAIR data policy and practice” is funded by the EC HORIZON-WIDERA-2021-ERA-01-41 Coordination and Support Action under Grant Agreement No. 101058393

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Additional details

Funding

European Commission
WorldFAIR - Global cooperation on FAIR data policy and practice 101058393