FAIR4AI-checklists

FAIR4AI Working Group repo for organization, planning, and development.

Current Resources/Drafts:

• Definitions_FAIR4AI_AI-ready.md
  • Living document for defining FAIR4AI and AI-ready.
  • Currently established as resource to help distinguish as we consider which elements of the checklist are sufficient for FAIR, FAIR4AI, and AI-ready.
  • This is meant to build on the FAIR4AI Working Definitions from 0.5 Workshop, which includes comments from Workshop 0.5 and notes for this group (see tabs on the sidebar).
• DRAFT AI-Ready Checklist
  • Based on combining the Imageomics Data Card and Metadata checklists¹ with the ESIIP Checklist².
• AI-Readiness Defined Slides
  • Presentation prepared for the 0.5 workshop to provide a common understanding/reference upon which to base our conversations.

Guiding Questions and Considerations

• What is the distinction between FAIR and FAIR4AI?
  • Is this different when thinking about biodiversity data?
  • How does it vary by data type/modality?
• What is the distinction between FAIR4AI and AI-Ready?
• What are the requirements and expectations for data providers as compared to users?

Potential Answers or Framing

FAIR4AI is to the point that it can be fed into a pipeline to have an output ready to put into a model. This can be the "AI-enabled" step.

We are working from the idea that AI-Ready is meant as this data can be fed directly into a model, so data need not be published in this format, just in a format that it is "reasonable" to get there. An example being the TreeOfLife-200M dataset is not AI-Ready, but using existing pipelines (once all data is downloaded), it can be transformed into the webdataset format used to train BioCLIP 2. Under this definition, the constituent parts of TreeOfLife-200M are not FAIR4AI.

Footnotes

1. For context, the Imageomics metadata checklist is mostly a generalized version of the Data Card checklist. They fit in the Imageomics Project Lifecycle as part of the iterative process of filling out a dataset card and updating on GitHub with checklists in the GitHub project repo issue. ↩

2. There is also a newer version on GitHub. I believe we incorporated both. ↩