You can get the whole dataset in two *.csv-files at GitHub.
AND,
OR,
NOT,
(brackets OR parentheses),
"quotation marks". | Name | Affiliation | Role | Journal | Publisher | ISSN | Date |
|---|---|---|---|---|---|---|
| F. A. A. Kingdom | Montreal, Quebec, Canada | Editorial Board | Vision Research | Elsevier | 0042-6989 | 2022-01-06 |
| P.R. Martin | Sydney, New South Wales, Australia | Editorial Board | Vision Research | Elsevier | 0042-6989 | 2022-01-06 |
| P.V. McGraw | Nottingham, United Kingdom | Editorial Board | Vision Research | Elsevier | 0042-6989 | 2022-01-06 |
| I. Oruç | Vancouver, British Columbia, Canada | Editorial Board | Vision Research | Elsevier | 0042-6989 | 2022-01-06 |
| D.C. Osorio | Brighton, United Kingdom | Editorial Board | Vision Research | Elsevier | 0042-6989 | 2022-01-06 |
| M. Rucci | Rochester, New York, United States of America | Editorial Board | Vision Research | Elsevier | 0042-6989 | 2022-01-06 |
| D. Troilo | New York, New York, United States of America | Editorial Board | Vision Research | Elsevier | 0042-6989 | 2022-01-06 |
| P. Verghese | San Francisco, California, United States of America | Editorial Board | Vision Research | Elsevier | 0042-6989 | 2022-01-06 |
| J.D. Victor | New York, New York, United States of America | Editorial Board | Vision Research | Elsevier | 0042-6989 | 2022-01-06 |
| M.A. Webster | Reno, Nevada, United States of America | Editorial Board | Vision Research | Elsevier | 0042-6989 | 2022-01-06 |
| C. Yu | Beijing, China | Editorial Board | Vision Research | Elsevier | 0042-6989 | 2022-01-06 |
| J. L. Barbur | London, United Kingdom | Consultative Board | Vision Research | Elsevier | 0042-6989 | 2022-01-06 |
| E. Castet | Marseille, France | Consultative Board | Vision Research | Elsevier | 0042-6989 | 2022-01-06 |
| C. W. G. Clifford | Sydney, New South Wales, Australia | Consultative Board | Vision Research | Elsevier | 0042-6989 | 2022-01-06 |
| B. Farell | Syracuse, New York, United States of America | Consultative Board | Vision Research | Elsevier | 0042-6989 | 2022-01-06 |
| M. Georgeson | Birmingham, United Kingdom | Consultative Board | Vision Research | Elsevier | 0042-6989 | 2022-01-06 |
| S. A. Klein | Berkeley, California, United States of America | Consultative Board | Vision Research | Elsevier | 0042-6989 | 2022-01-06 |
| I. Murakami | Tokyo, Japan | Consultative Board | Vision Research | Elsevier | 0042-6989 | 2022-01-06 |
| M. Paradiso | Providence, Rhode Island, United States of America | Consultative Board | Vision Research | Elsevier | 0042-6989 | 2022-01-06 |
| S. Shevell | Chicago, Illinois, United States of America | Consultative Board | Vision Research | Elsevier | 0042-6989 | 2022-01-06 |
| J. A. Solomon | London, United Kingdom | Consultative Board | Vision Research | Elsevier | 0042-6989 | 2022-01-06 |
| B. Spehar | Sydney, New South Wales, Australia | Consultative Board | Vision Research | Elsevier | 0042-6989 | 2022-01-06 |
| B. Thompson | Waterloo, Ontario, Canada | Consultative Board | Vision Research | Elsevier | 0042-6989 | 2022-01-06 |
| J. Tsotsos | Toronto, Ontario, Canada | Consultative Board | Vision Research | Elsevier | 0042-6989 | 2022-01-06 |
| J. Wagemans | Leuven, Belgium | Consultative Board | Vision Research | Elsevier | 0042-6989 | 2022-01-06 |
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 paper 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. :-)