Quality of open research data in education

Abstract

Quality criteria, analysed data sets, and criteria assessment results of a study in Jul 2019 and Mar 2021. The study was part of a Master Thesis in Information Science (Autor: Gabriel Schneider, Titel: Qualität von Forschungsdaten der Bildungsforschung in offenen Repositorien). This data set contains an expanded data set and a sub-set (14) of the original 16 quality criteria. Original criteria were translated into English for a presentation at LIDA 21. Quality criteria were developed based on expertise from the Research Data Centre for Education and the FAIR principles. In the first study 2019, 29 data sets from Zenodo (search=keyword:Education and type:dataset) were analysed according to the criteria. 20 data sets were excluded due to access restrictions or topic (non educational research). In 2021, 11 data sets uploaded at Zenodo 2021 were analysed according to the criteria. As search function at Zenodo changed, the search was adapted ((search=keyword:*Education OR keyword:*education) AND type:dataset AND accessright:open). Some data sets were excluded due to topic (non educational research), year published (2020 excluded), language barrieres or insufficient avalaible data. The files include: - Criteria: The criteria and assessment points applied - Dataset: The search terms for the retrieved data sets, and exclusion criteria - Results: The assessment points given for each criteria to each data set (without further details on decision with regard to specifics of data sets)