The Uptake of Open Science: Mapping the Results of a Systematic Literature Review

¹ the Korea University of Science and Technology (UST), the Korea Institute of Science and Technology Information (KISTI), Daejeon South Korea
² the Robert Gordon University, Aberdeen, the United Kingdom
³ the Woosong University, Daejeon South Korea
⁴ the Korea Institute of Science and Technology Information (KISTI), Daejeon South Korea

^* Corresponding author: jaesoo@kisti.re.kr

Abstract

This paper contributes to “Open Science” theory, with a specific focus on Open Science data generated by scholars. To this end, a mixed- method systematic literature review, including science mapping techniques, was conducted. Our preliminary results reveal the potential of Open Science as a domain for interdisciplinary research. A keyword co-occurrence network analysis using the VOSviewer visualisation tool identified five clusters of interrelated sub-concepts within Open Science research. The key distinctive characteristics and the various categories of Open Science data have been identified. The relevant data platforms have been provided to exemplify each category of Open Science data. Finally, a distinction between Open Science data and Open Government data was explored and the convergence point between them was presented.