Scopus Dataset of Co-Affiliation Metadata for Research Publications in Austria (2013–2023)
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Zenodo
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
| Publicado: |
Zenodo
2025
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| _version_ | 1866902216130953216 |
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| author | Schlager, Christoph |
| author_facet | Schlager, Christoph |
| contents | <p>This dataset contains affiliation metadata for journal articles indexed in Scopus that were published between 2013 and 2023 and include at least one Austrian affiliation. The records were retrieved using the Scopus APIs via the <em>pybliometrics</em> Python library.</p> <p>The Scopus affiliation metadata have been enriched with:</p> <ul> <li> <p>Mapped parent organization identifiers, linking each institution to its corresponding larger organization (e.g., mapping departments or institutes to their parent university or research center).</p> </li> <li> <p>Geographic coordinates derived using the Python <em>geopy</em> library.</p> </li> </ul> <p>This dataset constitutes the affiliation-level input data used for the analysis presented in the accompanying article on co-affiliated research in Austria and is intended to support transparency, reproducibility, and reuse in bibliometric research.</p> <p><strong>Scopus data acknowledgment</strong><br>This dataset was derived from Scopus® data accessed via the Scopus APIs. Scopus® is a registered trademark of Elsevier B.V. The use of Scopus data in this dataset does not imply endorsement by Elsevier.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17953806 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Scopus Dataset of Co-Affiliation Metadata for Research Publications in Austria (2013–2023) Schlager, Christoph bibliometrics scientometrics co-affiliation multiple affiliations author affiliations research organizations journal articles citation analysis <p>This dataset contains affiliation metadata for journal articles indexed in Scopus that were published between 2013 and 2023 and include at least one Austrian affiliation. The records were retrieved using the Scopus APIs via the <em>pybliometrics</em> Python library.</p> <p>The Scopus affiliation metadata have been enriched with:</p> <ul> <li> <p>Mapped parent organization identifiers, linking each institution to its corresponding larger organization (e.g., mapping departments or institutes to their parent university or research center).</p> </li> <li> <p>Geographic coordinates derived using the Python <em>geopy</em> library.</p> </li> </ul> <p>This dataset constitutes the affiliation-level input data used for the analysis presented in the accompanying article on co-affiliated research in Austria and is intended to support transparency, reproducibility, and reuse in bibliometric research.</p> <p><strong>Scopus data acknowledgment</strong><br>This dataset was derived from Scopus® data accessed via the Scopus APIs. Scopus® is a registered trademark of Elsevier B.V. The use of Scopus data in this dataset does not imply endorsement by Elsevier.</p> |
| title | Scopus Dataset of Co-Affiliation Metadata for Research Publications in Austria (2013–2023) |
| topic | bibliometrics scientometrics co-affiliation multiple affiliations author affiliations research organizations journal articles citation analysis |
| url | https://doi.org/10.5281/zenodo.17953806 |