Identifikation und Vergleich von Autorenangaben zu Software zwischen verschiedenen Datenquellen

Abstract

The increasing digitalization of science increases the importance of Open-SourceSoftware (OSS) and calls for new approaches to author recognition. In this work, Git repositories and other sources such as the Citation File Format (CFF) are analyzed to determine the quality of author information. A developed software extracts, aggregates and visualizes author information from Comprehensive R Archive Network (CRAN) and Python Package Index (PyPI) repositories. The results show gaps in the naming of authors in OSS. Finally, the results are used to discuss, among other things, what software developers need to achieve in order to be recognized as an author.