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  • 标题:Persistent Identification for Conferences
  • 本地全文:下载
  • 作者:Julian Franken ; Aliaksandr Birukou ; Kai Eckert
  • 期刊名称:Data Science Journal
  • 电子版ISSN:1683-1470
  • 出版年度:2022
  • 卷号:21
  • 期号:1
  • DOI:10.5334/dsj-2022-011
  • 语种:English
  • 出版社:Ubiquity Press
  • 摘要: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.
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