Why we need open data in computer science education research.

Autor/inn/en	Kiesler, Natalie; Schiffner, Daniel
Titel	Why we need open data in computer science education research.
Quelle	Aus: ITiCSE 2023. Proceedings of the 2023 conference on innovation and technology in computer science education. V.1. New York, USA: Association for Computing Machinery (2023) S. 348-353 PDF als Volltext Link als defekt meldenVerfügbarkeit
Reihe	ACM Digital Library
Beigaben	Literaturangaben
Sprache	englisch
Dokumenttyp	online; Sammelwerksbeitrag
ISBN	979-8-4007-0138-2
DOI	10.1145/3587102.3588860
Schlagwörter	Sekundäranalyse; Informatik; Informatikunterricht; Ausbildung; Daten; Forschungsdaten; Open Science
Abstract	Innovation and technology in computer science education is driven by research and practice. Both of these activities involve the gathering and analysis of data in order to develop new tools, methods including software, or strategies to solve recent challenges in the field. However, data as basis for any new solution is hardly shared, reused and recognized. This is due to the fact that the publication of research data encompasses a number of challenges for researchers, while benefits of publishing data remain low. As a result, further analyses of data as part of secondary research are uncommon in the computer science education community. Therefore, the authors of this position paper critically reflect on current practices related to the publication of research data in this community. Moreover, a path forward is outlined for future conferences, such as ITiCSE, to become increasingly FAIR, and open with regard to research data. (Orig.).
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main
Update	2024/2