Notebooks T4.3 - investigating patents

Aim

Create a dataset to investigate the prevalence of Open Science practices in European patent literature by

• extracting scholarly publications cited in patents (NPL) issued by European Patent Offices
• identifing the OA status of NPLs
• linking to other sources with rich scholarly data

This repository keep tracks of the work, using dynamic notebooks (R Markdown, Jupyter Notebook).

Source code supplement: ON-MERRIT D4.3 Quantifying the influence of Open Access on innovation and patents

Source code supplement for

Jahn, Najko, Klebel, Thomas, Pride, David, & Ross-Hellauer, Tony. (2021). ON-MERRIT D4.3 Quantifying the influence of Open Access on innovation and patents (1.0). Zenodo. https://doi.org/10.5281/zenodo.5550524

Analysis

• d4.3.Rmd contains code used for presenting results in the deliverable. Resulting plots can be found in figure/.

Data gathering

NPL coverage

• Done via Google BigQuery Patent datasets. See sql/ for corresponding SQL code. SQL statements were run in d4.3.Rmd.

OA categorization

• Script; resulting datasets attached to GitHub release because of data file size. We used a local snapshot from Unpaywall. See sql/enrich_oa_with_patent_md.sql as well as corresponding code in d4.3.Rmd.
• [analysis/extract_ids.R] demonstrates how we extracted IDs from the repositories PMC and arxiv as further OA evidence source

Preprint analysis

• [analysis/extract_ids.R] demonstrates how we extracted IDs from the arxiv inclduing DOI to published version, if available
• cr_prepints.R shows how preprint information were gathered from Crossref.

Further explorative activties

• Created a random sample of 10,000 NPLs
• Extraction NPL
• Pre-Evaluation
  • Quantified sucess
  • Qualitative Assessment

License

This work is licensed under CCO. Using CC0, we waive all copyrights and related or neighboring rights that we may have in all jurisdictions worldwide.