Published April 9, 2025 | Version v2
Preprint Open

Automating Reproducible Bibliometrics with the Open Research Converter

Authors/Creators

  • 1. ROR icon GESIS - Leibniz-Institute for the Social Sciences
  • 2. GESIS Leibniz-Institut fur Sozialwissenschaften in Koln

Description

The Open Research Converter (ORC) is an open-source tool that allows users to convert Digital Object Identifiers into OpenAlex Work IDs and/or retrieve full bibliometric records from OpenAlex. In this poster paper we introduce the ORC and show its main application: the generation of open and sharable bibliometric datasets, future development plans and a short analysis of usage patterns so far.

 

This has been accepted as a poster paper to ISSI 2025 under the special category of Open Research Information.

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Additional details

Funding

Federal Ministry of Education and Research
The OpenBib Project 16WIK2301B

Dates

Accepted
2025-03-26
ISSI 2025

Software

Repository URL
https://github.com/jhculb/Open-Research-Converter

References

  • Culbert, J. H. (2024, November 26). The Open Research Converter. https://doi.org/10.5281/zenodo.14222479
  • Culbert, J. H., Shahid, M. A., & Mayr, P. (2024). ORC: The Open Research Converter. https://orc-demo.gesis.org/paper
  • Culbert, J., Hobert, A., Jahn, N., Haupka, N., Schmidt, M., Donner, P., & Mayr, P. (2024). Reference Coverage Analysis of OpenAlex compared to Web of Science and Scopus (arXiv:2401.16359). arXiv. https://doi.org/10.48550/arXiv.2401.16359
  • Priem, J., Piwowar, H., & Orr, R. (2022). OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts (arXiv:2205.01833). arXiv. https://doi.org/10.48550/arXiv.2205.01833
  • Schmidt, M., Rimmert, C., Stephen, D., Lenke, C., Donner, P., Gärtner, S., Taubert, N., Bausenwein, T., & Stahlschmidt, S. (2024). The Data Infrastructure of the German Kompetenznetzwerk Bibliometrie: An Enabling Intermediary between Raw Data and Analysis. Zenodo. https://doi.org/10.5281/zenodo.13932928
  • Velden, T., Hinze, S., Scharnhorst, A., Schneider, J. W., & Waltman, L. (2018). Exploration of reproducibility issues in scientometric research. STI 2018 Conference Proceedings, 612–624.
  • Vieira, G. A., & Leta, J. (2024). biblioverlap: An R package for document matching across bibliographic datasets. Scientometrics, 129(7), 4513–4527. https://doi.org/10.1007/s11192-024-05065-5