imls-dmt / imls-dmt/clearinghouse-code

Full-text search based on training materials content

Open
#7 0 comments 0 reactions 0 assignees View on GitHub
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

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.