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Title: Persistent Identification for Conferences
Authors: Franken, JulianBirukou, AliaksandrEckert, KaiFahl, WolfgangHauschke, ChristianLange, Christoph
Publishers version: https://doi.org/10.5334/dsj-2022-011
URI: https://oa.tib.eu/renate/handle/123456789/10107
http://dx.doi.org/10.34657/9145
Issue Date: 2022
Published in: Data science journal : a journal of the Committee on Data for Science and Technology (CODATA) of the International Council for Science (ICSU) 21 (2022)
Journal: Data science journal : a journal of the Committee on Data for Science and Technology (CODATA) of the International Council for Science (ICSU)
Volume: 21
Page Start: 11
Publisher: Paris : CODATA
Abstract: Persistent identification of entities plays a major role in the progress of digitization of many fields. In the scholarly publishing realm there are already persistent identifiers (PID) for papers (DOI), people (ORCID), organisation (GRID, ROR), books (ISBN) but there is no generally accepted PID system for scholarly events such as conferences or workshops yet. This article describes the relevant use cases that motivate the introduction of persistent identifiers for conferences. The use cases were mainly derived from interviews, discussions with experts and their previous work. As primary stakeholders who are involved in the typical conference event life cycle researchers, conference organizers, and data consumers were identified. The resulting list of use cases illustrates how PIDs for conference events will improve the current situation for these stakeholders and help with problems they are facing today.
Keywords: academic event; conference; persistent identifier; PID; use case
Type: article; Text
Publishing status: publishedVersion
DDC: 500
License: CC BY 4.0 Unported
Link to license: https://creativecommons.org/licenses/by/4.0/
Appears in Collections:Informationswissenschaften

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Franken, Julian, Aliaksandr Birukou, Kai Eckert, Wolfgang Fahl, Christian Hauschke and Christoph Lange, 2022. Persistent Identification for Conferences. 2022. Paris : CODATA
Franken, J., Birukou, A., Eckert, K., Fahl, W., Hauschke, C. and Lange, C. (2022) “Persistent Identification for Conferences.” Paris : CODATA. doi: https://doi.org/10.5334/dsj-2022-011.
Franken J, Birukou A, Eckert K, Fahl W, Hauschke C, Lange C. Persistent Identification for Conferences. Vol. 21. Paris : CODATA; 2022.
Franken, J., Birukou, A., Eckert, K., Fahl, W., Hauschke, C., & Lange, C. (2022). Persistent Identification for Conferences (Version publishedVersion, Vol. 21). Version publishedVersion, Vol. 21. Paris : CODATA. https://doi.org/https://doi.org/10.5334/dsj-2022-011
Franken J, Birukou A, Eckert K, Fahl W, Hauschke C, Lange C. Persistent Identification for Conferences. 2022;21. doi:https://doi.org/10.5334/dsj-2022-011


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