The checklist needs some thought on CARE principles, specifically in the area of knowledge encoding and semantic depth/clarity in data and metadata. There is a massive bias toward the systems of knowledge of major data generators. As we turn data loose in the wild, we need to put much more attention into encoding where we have inherent biases, major gaps, and where interlinks with other systems of knowledges need to be assessed and encoded for use by AI (and humans for that matter).
The checklist needs some thought on CARE principles, specifically in the area of knowledge encoding and semantic depth/clarity in data and metadata. There is a massive bias toward the systems of knowledge of major data generators. As we turn data loose in the wild, we need to put much more attention into encoding where we have inherent biases, major gaps, and where interlinks with other systems of knowledges need to be assessed and encoded for use by AI (and humans for that matter).