Open Access Monitoring: Verzerrende Datenquellen und unbeabsichtigte Leerstellen - eine explorative Studie
OPEN ACCESS
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Author / Producer
Date
2023
Publication Type
Journal Article
ETH Bibliography
yes
Citations
Web of Science:
Altmetric
OPEN ACCESS
Data
Rights / License
Abstract
Due to the enormous data volumes, monitoring methods as tools for representing the Open Access transformation in terms of publications require structured data sets that can be uniquely identified and compared. Digital object identifiers (DOI) have been established for the identification of scientific and practice-oriented publications, but certainly not all publications are endowed with them. Using a reasonable data sample from the University of Teacher Education Zurich, this study analyzes selected data sources for monitoring routines to calculate quotas for non-represented publications and to make unintentional empty spaces visible. This understanding of empty spaces opens approaches on how to avoid them to ensure resilient open access monitoring.
Permanent link
Publication status
published
External links
Editor
Book title
Journal / series
Volume
47 (2)
Pages / Article No.
382 - 392
Publisher
De Gruyter
Event
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Open access; monitoring; metadata management; scholarly publishing; digital infrastructure; digital identifier; Metadatenmanagement; wissenschaftliches Publizieren; digitale Infrastruktur; digitale Identifikatoren
Organisational unit
08567 - E-Publishing ETH-Bibliothek / E-Publishing ETH Library
00060 - Abt. ETH-Bibliothek / ETH-Bibliothek