Feedback from 2019 Workshop Attendees

A. General requests and updates

• For infrequent updates about III, write to Adam to be added to our list.

• Give feedback on the Lens API: take a survey of new features you want.

• Share suggestions of other fields with great practices for documentation or provenance: Law (citation precision), Astronomy (observational density)

B. Do you have have datasets to share?

From Matt Marx:

• Worldwide citations from patents to scientific articles, front page and (beta) body-text: Relianceonscience.org

From the Lens Lab:

• MIT scholarly works (1950-2018)

• MIT scholarly works cited by patents (1950-2018)

• MIT Citing Patents (collection)

• MIT Patents (collection)

From the KFG:
(move to Zenodo for now)

• 40 metrics applied to 8M bio articles (journals only, 1700-2018)

From Gaétan de Rassenfosse:

• Geocoding of worldwide patent data (project website and paper)

• Public-funded U.S. patents and related scientific papers (data and paper)

From Google:

• Patent bibliographic data updated quarterly on 120m+ publications in 100+ countries in BigQuery (blog post, howto query, Kaggle/Jupyter kernel example)

• Similarity embeddings for patent text (Kaggle example, dataset)

• Hosted versions of PatentsView, USPTO OCE data, ChEMBL, etc in BigQuery (list of datasets)

• More complicated samples github.com/google/patents-public-data

C. What do you need for your research?

• Regular data snapshots w/ Identifiers, not APIs, for reproducibility.

• Access to something like BigQuery for running queries on large datasets without ever transferring them

• Ground truth / training datasets (e.g., disambiguation)