Skip to main content

Topics to explore

Published onAug 19, 2020
Topics to explore

Models for sharing data from other fields

Examples from fields with great practices for documentation or provenance

  • Astronomy: observations all cited to geo/date/time/telescope + weather

  • CERN: datasets up to 1TB shared via Zenodo (open to everyone)

  • Approaches from other scientific fields

Checklists for making work accessible

Open data

Open source code

Choosing repositories

  • Cost and permissions

  • Storing and sharing code along with shared data

  • Specific challenges with historical patent data

  • Optical readers + the challenge of different scripts, esp pictograms

Underserved + new datasets

  • Historical patent data

  • New data: associating ages w/ patents (scraper code, data)


  • Discoverability

    • How to make in-process or new research easy to find?

    • How to profile and collaborate w/ younger researchers

    • How do you find new research

  • Favourite datasets (that aren’t commonly found online)


  • Biggest bottlenecks in documenting and sharing your data?

  • Legacy of data - Guidelines: how long should it be useful, who maintains it?

  • Documenting and sharing data in a manner useful to researchers outside of the (possibly) narrow silo it was conducted in

Presentation / seminar series

  • Experiments: sth interesting/different ; compare seminars

  • More seminary: Presenting on specific research? Less like chats on a topic.
    —> people will want a series, one way or another. [reflect after d.w session]
    —> write up a summary [draft invite] — update late Sept [name the series]

  • Build relationships across the community!

  • Maybe: have matt-osmat conv about patent citations [invite Cyril/patcit]

No comments here
Why not start the discussion?