You can get the whole dataset in two *.csv-files at GitHub.
NOT, (brackets OR parentheses), "quotation marks".
|A. Uhl||University of Salzburg, Department of Computer Scie …||Editorial Board||Signal Processing||Elsevier||0165-1684||2022-01-06|
|A. Uhl||Paris Lodron University of Salzburg, Salzburg, Austria||Area Editors||Signal Processing: Image Communication||Elsevier||0923-5965||2022-01-06|
|Assoc. Professor Hermann Astleitner||University of Salzburg Department of Educational Sc …||Editorial Board||Social Sciences & Humanities Open||Elsevier||2590-2911||2022-01-06|
|M. Zimmer||Paris Lodron University of Salzburg, Salzburg, Austria||Board of Subject Editors||Soil Biology and Biochemistry||Elsevier||0038-0717||2022-01-06|
|Simone Pfenninger||Paris Lodron University of Salzburg, Salzburg, Austria||Editorial Board||System||Elsevier||0346-251X||2022-01-06|
|Mr. Philipp Scherer, Msc||Paris Lodron University of Salzburg, Salzburg, Austria||Editorial Board Members||Technical Innovations & Patient Supp …||Elsevier||2405-6324||2022-01-06|
|Kristin De Troyer||University of Salzburg||Editorial Board||Textus||Brill||0082-3767||2022-02-10|
|Hans-Christian Bauer, PhD||Paris Lodron University of Salzburg, Salzburg, Austria||Board of Editors||The Journal of Nutritional Biochemistry||Elsevier||0955-2863||2022-01-06|
|Prof. Dr. Thomas Blaschke||Interfaculty Department of Geoinformatics - Z GIS, …||Editorial Board Members||Urban Science||MDPI||2413-8851||2022-01-18|
|Hartmut StÃƒÂ¶ckl||University of Salzburg, Austria||Advisory Editorial Board||Visual Communication||SAGE||1470-3572||2022-01-04|
Open Editors collects publicly available information about the editors and editorial boards of scholarly journals through a technique called webscraping, whereby a script accesses the websites of the publishers to extract the relevant information. The codes (programmed in R) are available at GitHub.
Currently, only journals of the following 26 publishers were taken into account:
For more details, please see the pre-print which outlines the method and data sample with greater precision. It also discusses issues of diversity and intersectionality; of linking the dataset with PIDs (persistent identifiers) such as ORCID and ROR; and of current limitations regarding the scope and coverage of the data.
The whole data dump – two CSV-files of ca. 128 MB – is available at GitHub (in the "Output"-folder and the 2022-subfolder).
Open Editors is distributed under a Creative Commons-license (CC0). You can re-use the dataset or its codes freely. If you wish to attribute the original data-collection to Open Editors, you could perhaps include the following reference:
If you use the dataset, please let us know (via e-mail) so that we can add a link to your work here!
This project was made possible through a fellowship ("Freies Wissen") from Wikimedia Deutschland in 2020/21.
In addition, my other side-project OOIR (the Observatory of International Research) kindly provides the webspace for this project. :-)