{"language":[{"iso":"eng"}],"date_updated":"2022-09-15T08:31:55Z","doi":"10.12688/f1000research.121665.1","oa":"1","publication_status":"published","publication_identifier":{"issn":["2046-1402"]},"title":"MapOSR - A mapping review dataset of empirical studies on Open Science","main_file_link":[{"url":"https://f1000research.com/articles/11-535","open_access":"1"}],"type":"journal_article","citation":{"short":"J. Lasser, J. Schneider, T. Lösch, R. Röwert, T. Heck, C. Bluemel, M. Neufend, I. Steinhardt, S. Skupien, F1000Research 11 (2022).","ieee":"J. Lasser et al., “MapOSR - A mapping review dataset of empirical studies on Open Science,” F1000Research, vol. 11, Art. no. 535, 2022, doi: 10.12688/f1000research.121665.1.","apa":"Lasser, J., Schneider, J., Lösch, T., Röwert, R., Heck, T., Bluemel, C., Neufend, M., Steinhardt, I., & Skupien, S. (2022). MapOSR - A mapping review dataset of empirical studies on Open Science. F1000Research, 11, Article 535. https://doi.org/10.12688/f1000research.121665.1","ama":"Lasser J, Schneider J, Lösch T, et al. MapOSR - A mapping review dataset of empirical studies on Open Science. F1000Research. 2022;11. doi:10.12688/f1000research.121665.1","chicago":"Lasser, Jana, Jürgen Schneider, Thomas Lösch, Ronny Röwert, Tamara Heck, Clemens Bluemel, Maike Neufend, Isabel Steinhardt, and Stefan Skupien. “MapOSR - A Mapping Review Dataset of Empirical Studies on Open Science.” F1000Research 11 (2022). https://doi.org/10.12688/f1000research.121665.1.","bibtex":"@article{Lasser_Schneider_Lösch_Röwert_Heck_Bluemel_Neufend_Steinhardt_Skupien_2022, title={MapOSR - A mapping review dataset of empirical studies on Open Science}, volume={11}, DOI={10.12688/f1000research.121665.1}, number={535}, journal={F1000Research}, publisher={F1000 Research Ltd}, author={Lasser, Jana and Schneider, Jürgen and Lösch, Thomas and Röwert, Ronny and Heck, Tamara and Bluemel, Clemens and Neufend, Maike and Steinhardt, Isabel and Skupien, Stefan}, year={2022} }","mla":"Lasser, Jana, et al. “MapOSR - A Mapping Review Dataset of Empirical Studies on Open Science.” F1000Research, vol. 11, 535, F1000 Research Ltd, 2022, doi:10.12688/f1000research.121665.1."},"year":"2022","_id":"33370","intvolume":" 11","article_number":"535","quality_controlled":"1","author":[{"full_name":"Lasser, Jana","first_name":"Jana","last_name":"Lasser"},{"first_name":"Jürgen","full_name":"Schneider, Jürgen","last_name":"Schneider"},{"first_name":"Thomas","full_name":"Lösch, Thomas","last_name":"Lösch"},{"last_name":"Röwert","full_name":"Röwert, Ronny","first_name":"Ronny"},{"last_name":"Heck","full_name":"Heck, Tamara","first_name":"Tamara"},{"first_name":"Clemens","full_name":"Bluemel, Clemens","last_name":"Bluemel"},{"last_name":"Neufend","first_name":"Maike","full_name":"Neufend, Maike"},{"orcid":"https://orcid.org/0000-0002-2590-6189","full_name":"Steinhardt, Isabel","first_name":"Isabel","id":"90339","last_name":"Steinhardt"},{"last_name":"Skupien","first_name":"Stefan","full_name":"Skupien, Stefan"}],"publisher":"F1000 Research Ltd","keyword":["Open Science"],"publication":"F1000Research","volume":11,"status":"public","date_created":"2022-09-15T08:00:49Z","article_type":"original","abstract":[{"lang":"eng","text":"Research that investigates respective researchers’ engagement in Open Science varies widely in the topics addressed, methods employed, and disciplines investigated, which makes it difficult to integrate and compare its results. To investigate current outcomes of Open Science research, and to get a better understanding on well-researched topics and research gaps, we aimed at providing an openly accessible overview of empirical studies that focus on different aspects of Open Science in different scientific disciplines, academic groups and geographical regions. In this paper, we describe a data set of studies about Open Science practices retrieved following a PRISMA approach to compile a literature review. We included studies from the Scopus and Web of Science databases with keywords relating to Open Science between the years 2000 and 2020, as well as a snowball search for relevant articles. Studies that did not investigate any aspect of Open Science, or weren’t peer-reviewed were excluded, resulting in a total of 695 remaining studies. The data set was collaboratively annotated to ensure intercoder reliability of the coded data."}],"user_id":"90339"}