Persistent Identification for Conferences

Autor: Julian Franken, Aliaksandr Birukou, Kai Eckert, Wolfgang Fahl, Christian Hauschke, Christoph Lange
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Data Science Journal, Vol 21, Iss 1 (2022)
Druh dokumentu: article
ISSN: 1683-1470
DOI: 10.5334/dsj-2022-011
Popis: 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.
Databáze: Directory of Open Access Journals