Identify key patterns in eLife Tables

[lwinfree]

No description provided.

[chris48s]

Can we classify into types of tables (along the nature of information held in those tables)

e.g:

• list of reagents
• list of tools
• list of experimental results
• analytical results
• univariate analysis
• omics data (RNA-Seq, Metabolomic profile)
• gene lists, reagent lists, pathways.

What are the patterns we can spot in different tables that do the same job?
Are they good patterns or bad patterns?
Are there any common consistency problems or ambiguities?
Can we define frictionless data schemas that help to solve those problems?

[lwinfree]

identifying patterns here: https://docs.google.com/document/d/1tHw7q6yyUKCPjJkd-bagWGbsZkIBOB96RYOdE4coAKg/edit?ts=5f4e03e8#heading=h.4lz597pousbh

As of end of Day 1, we have ~13 patterns identified. Mainly organized by sections of a manuscript, but also some domain-specific patterns (e.g. FMRI)

Also, Chris has created a site showing tables grouped by exact matching for table names: https://chris48s.github.io/elife-tables/

[lwinfree]

Still to do:

• further refine the group of tables based on their origin {Material & Methods, Results, Discussion}