Roadmap to Buttered (0.2.0) 🛫

[david4096]

There are a number of open issues. If you just want to discuss general direction feel free to add your thoughts or haven't quite figured out how to express it as an issue in this thread, anything goes! Some ideas for best next steps:

• Kaggle has severe rate limiting #45 Kaggle rate limiting makes it less than usable without Retry on failure #41
• Other Croissant sources besides OpenML? Add OpenML extractor #42
• Regenerate croissant ML JSON-LD Generate MLCroissant json-ld from RDF #32

Bigger ideas that don't have an issue yet:

• Annotating the metadata using other ontologies
• Querying alongside other knowledge graphs
• Getting a persistent Croissant knowledge graph online

Things that don't quite fit in this repo (but might?)

• Getting bioinformatics datasets represented in Croissant ML
• Getting ML tools easily using bioinformatics data (Rea demonstrated this)
• Connecting SPARQL to dataset acquisition > tensorflow tfds
• Creating composite datasets using Croissant metadata from multiple datasets

[david4096]

For annotating with EDAM, or connecting other ontologies I was given these suggestions

• use dataset description to map as well
• use a more broad set of ontologies
• combine CSVs from NCBO bioportal
• too many medical ontologies, how to choose, size concerns, chemical compounds
• concrete vs abstract classes, aim for the middle in terms of details. use abstract terms preferentially