open editors

Make things open, it makes them better. Unser wissenschaftlicher Artikel zu Diversität von Editorial Boards in den Sozialwissenschaften ist publiziert. Ich freue mich riesig über diese super postdisziplinäre Zusammenarbeit mit Andreas Nishikawa-Pacher und Tamara Heck im Rahmen des Fellow-Programms Freies Wissen von Wikimedia Deutschland. Der Name ist Programm: Die Arbeit ist frei zugänglich, Open Source, Open Data und Open Access inklusive.

A screenshot of the scientif article | Ein Screenshot des wissenschaftlichen Artikels

abstract

Editormetrics analyses the role of editors of academic journals and their impact on the scientific publication system. Such analyses would best rely on open, structured, and machine-readable data about editors and editorial boards, which still remains rare. To address this shortcoming, the project Open Editors collects data about academic journal editors on a large scale and structures them into a single dataset. It does so by scraping the websites of 7,352 journals from 26 publishers (including predatory ones), thereby structuring publicly available information (names, affiliations, editorial roles, ORCID etc.) about 594,580 researchers. The dataset shows that journals and publishers are immensely heterogeneous in terms of editorial board sizes, regional diversity, and editorial role labels. All codes and data are made available at Zenodo, while the result is browsable at a dedicated website (https://openeditors.ooir.org). This dataset carries implications for both practical purposes of research evaluation and for meta-scientific investigations into the landscape of scholarly publications, and allows for critical inquiries regarding the representation of diversity and inclusivity across academia.

Nishikawa-Pacher, A., Heck, T., & Schoch, K. (2022). Open Editors: A dataset of scholarly journals’ editorial board positions. Research Evaluation. https://doi.org/10.1093/reseval/rvac037

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