Open Editors: A Dataset of Scholarly Journals’ Editorial Board Positions. Pacher, A., Heck, T., & Schoch, K. Technical Report SocArXiv, March, 2021. ![Open Editors: A Dataset of Scholarly Journals’ Editorial Board Positions [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Editormetrics analyse the role of editors of academic journals and their impact on the scientific publication system. However, such analyses would best rely on open, structured and machine-readable data on editors and editorial boards, whose availability 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 6.090 journals from 17 publishers, thereby structuring publicly available information (names, affiliations, editorial roles etc.) about 478.563 researchers. The project will iterate this webscraping procedure annually to enable insights into the changes of editorial boards over time. All codes and data are made available at GitHub, while the result is browsable at a dedicated website (https://openeditors.ooir.org). This dataset carries wide-ranging implications for meta-scientific investigations into the landscape of scholarly publications, including for bibliometric analyses, and allows for critical inquiries into the representation of diversity and inclusivity. It also contributes to the goal of expanding linked open data within science to evaluate and reflect on the scholarly publication process.
@techreport{pacher_open_2021,
type = {preprint},
title = {Open {Editors}: {A} {Dataset} of {Scholarly} {Journals}’ {Editorial} {Board} {Positions}},
shorttitle = {Open {Editors}},
url = {https://osf.io/jvzq7},
abstract = {Editormetrics analyse the role of editors of academic journals and their impact on the scientific publication system. However, such analyses would best rely on open, structured and machine-readable data on editors and editorial boards, whose availability 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 6.090 journals from 17 publishers, thereby structuring publicly available information (names, affiliations, editorial roles etc.) about 478.563 researchers. The project will iterate this webscraping procedure annually to enable insights into the changes of editorial boards over time. All codes and data are made available at GitHub, while the result is browsable at a dedicated website (https://openeditors.ooir.org). This dataset carries wide-ranging implications for meta-scientific investigations into the landscape of scholarly publications, including for bibliometric analyses, and allows for critical inquiries into the representation of diversity and inclusivity. It also contributes to the goal of expanding linked open data within science to evaluate and reflect on the scholarly publication process.},
urldate = {2022-05-27},
institution = {SocArXiv},
author = {Pacher, Andreas and Heck, Tamara and Schoch, Kerstin},
month = mar,
year = {2021},
doi = {10.31235/osf.io/jvzq7},
}
Downloads: 0
{"_id":"3zPhi5TGiR33yKJho","bibbaseid":"pacher-heck-schoch-openeditorsadatasetofscholarlyjournalseditorialboardpositions-2021","author_short":["Pacher, A.","Heck, T.","Schoch, K."],"bibdata":{"bibtype":"techreport","type":"preprint","title":"Open Editors: A Dataset of Scholarly Journals’ Editorial Board Positions","shorttitle":"Open Editors","url":"https://osf.io/jvzq7","abstract":"Editormetrics analyse the role of editors of academic journals and their impact on the scientific publication system. However, such analyses would best rely on open, structured and machine-readable data on editors and editorial boards, whose availability 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 6.090 journals from 17 publishers, thereby structuring publicly available information (names, affiliations, editorial roles etc.) about 478.563 researchers. The project will iterate this webscraping procedure annually to enable insights into the changes of editorial boards over time. All codes and data are made available at GitHub, while the result is browsable at a dedicated website (https://openeditors.ooir.org). This dataset carries wide-ranging implications for meta-scientific investigations into the landscape of scholarly publications, including for bibliometric analyses, and allows for critical inquiries into the representation of diversity and inclusivity. It also contributes to the goal of expanding linked open data within science to evaluate and reflect on the scholarly publication process.","urldate":"2022-05-27","institution":"SocArXiv","author":[{"propositions":[],"lastnames":["Pacher"],"firstnames":["Andreas"],"suffixes":[]},{"propositions":[],"lastnames":["Heck"],"firstnames":["Tamara"],"suffixes":[]},{"propositions":[],"lastnames":["Schoch"],"firstnames":["Kerstin"],"suffixes":[]}],"month":"March","year":"2021","doi":"10.31235/osf.io/jvzq7","bibtex":"@techreport{pacher_open_2021,\n\ttype = {preprint},\n\ttitle = {Open {Editors}: {A} {Dataset} of {Scholarly} {Journals}’ {Editorial} {Board} {Positions}},\n\tshorttitle = {Open {Editors}},\n\turl = {https://osf.io/jvzq7},\n\tabstract = {Editormetrics analyse the role of editors of academic journals and their impact on the scientific publication system. However, such analyses would best rely on open, structured and machine-readable data on editors and editorial boards, whose availability 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 6.090 journals from 17 publishers, thereby structuring publicly available information (names, affiliations, editorial roles etc.) about 478.563 researchers. The project will iterate this webscraping procedure annually to enable insights into the changes of editorial boards over time. All codes and data are made available at GitHub, while the result is browsable at a dedicated website (https://openeditors.ooir.org). This dataset carries wide-ranging implications for meta-scientific investigations into the landscape of scholarly publications, including for bibliometric analyses, and allows for critical inquiries into the representation of diversity and inclusivity. It also contributes to the goal of expanding linked open data within science to evaluate and reflect on the scholarly publication process.},\n\turldate = {2022-05-27},\n\tinstitution = {SocArXiv},\n\tauthor = {Pacher, Andreas and Heck, Tamara and Schoch, Kerstin},\n\tmonth = mar,\n\tyear = {2021},\n\tdoi = {10.31235/osf.io/jvzq7},\n}\n\n\n\n","author_short":["Pacher, A.","Heck, T.","Schoch, K."],"key":"pacher_open_2021","id":"pacher_open_2021","bibbaseid":"pacher-heck-schoch-openeditorsadatasetofscholarlyjournalseditorialboardpositions-2021","role":"author","urls":{"Paper":"https://osf.io/jvzq7"},"metadata":{"authorlinks":{}}},"bibtype":"techreport","biburl":"https://bibbase.org/zotero-group/researchorgs/4790165","dataSources":["XooGe8m5uEyMY8yz7"],"keywords":[],"search_terms":["open","editors","dataset","scholarly","journals","editorial","board","positions","pacher","heck","schoch"],"title":"Open Editors: A Dataset of Scholarly Journals’ Editorial Board Positions","year":2021}