imls-dmt / imls-dmt/clearinghouse-code
Full-text search based on training materials content
- Dominant language
- Jupyter Notebook
- Stars
- 0
- Forks
- 1
- PR merge metrics
- No merged PRs in 30d
Description
Coming out of a discussion with Natalie Meyers over lunch at the CODATA FAIR workshop in PA - harvest training materials from linked destinations to assess feasibility and if appropriate implement full-text search across clearinghouse content. This could also be used to experiment with reasoning across the training material corpus for reasoners to auto classify content for new/emerging standards and relevance to FAIR and other frameworks.
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by reviewing the training materials and linked destinations referenced in the issue, then assess whether their content can be harvested. Define whether full-text search across the clearinghouse corpus is feasible; done means documenting that assessment and implementing the search only if appropriate.
Written by the indexing model from the issue text.
Assessment
- Domain
- data, search
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100