Session Information
09 SES 04 B JS, From Research Data Collection to Usage: How to Facilitate Further Data Analysis
Joint Symposium NW 09 and NW 12
Contribution
Secondary use of shared research data is one of the demands of the open science movement and is increasingly addressed in scientific discourse as part of good scientific practice. Arguments in favor of reusing research data highlight that open data increase efficiency of scientific knowledge generation (Allen & Mehler, 2019; Nosek et al., 2015). In particular, cost-intensive data collections, such as those typical for the field of education research and in particular for the large-scale comparative studies, can be used multiple times (Meyermann et al. 2017; van der Zee und Reich 2018). Furthermore, the availability of research data can promote transparency in the research process, because an interested audience can review the methodology used. In addition, new discoveries are facilitated and duplication of effort will be reduced when datasets are easily accessible (Pontika et al. 2015; Raffaghelli & Manca 2019). Against this background, the desire to share and (re-)use research data is becoming a key precept in research funding (cf. Mauer & Recker 2019, p. 115) and efforts for a wider inclusion and engagement of educational stakeholders.
In this symposium, we would like to take up the debate on open research data. In the first paper, we look at the activities of research data infrastructures to promote the sharing and use of research data. In the second paper, we report evidence on the challenges and opportunities of open research data from a survey of researchers in the social sciences, education, and economics. The third paper gives an example on the use of research data and how researchers can be supported in their research with available data from benchmark studies.
This symposium brings together the perspectives of researchers and three institutions from different European countries that work on questions on and solutions for data reuse to facilitate high quality research in education. The three institutions are the DIPF | Leibniz Institute for Research and Information in Education, the International Association for the Evaluation of Educational Achievement (IEA) and the Swiss Centre of Expertise in the Social Sciences (FORS).
References
Allen, C. & Mehler, D. M. A. (2019). Open science challenges, benefits and tips in early career and beyond. PLOS Biology, 17(5), e3000246. https://doi.org/10.1371/journal.pbio.3000246 Mauer, R. & Recker, J. (2019). Data Sharing: Von der Sicherung zur langfristigen Nutzung der Forschungsdaten. In U. Jensen, S. Netscher & K. Weller (Hrsg.), Forschungsdatenmanagement sozialwissenschaftlicher Umfragedaten (S. 115–133). Verlag Barbara Budrich. https://doi.org/10.3224/84742233.08. Meyermann, A., Bambey, D., Jansen, M., Mauer, R., Ebel, T., Eisentraut, M., Harzenetter, K., Kuhl, P., Neuendorf, C., Pegelow, L., Porzelt, M., Rittberger, M., Schwager, T., Stanat, P., & Trixa, J. (2017). Der Verbund Forschungsdaten Bildung ‒ Eine Forschungsdateninfrastruktur für die empirische Bildungsforschung. RatSWD Working Paper 266/2017, Berlin. https://doi.org/10.17620/02671.27. Munafò, M. R., Nosek, B. A., Bishop, D. V. M., Button, K. S., Chambers, C. D., Du Sert, N. P., Simonsohn, U., Wagenmakers, E.‑J., Ware, J. J. & Ioannidis, J. P. A. (2017). A manifesto for reproducible science. Nature Human Behaviour, 1(1), 21. https://doi.org/10.1038/s41562-016-0021 Nosek, B. A., Alter, G., Banks, G. C., Borsboom, D., Bowman, S. D., Breckler, S. J., et al. (2015). Promoting an open research culture. Science, 348(6242), 1422–1425. https://doi.org/10.1126/science.aab2374. Pontika, N., Knoth, P., Cancellieri, M. & Pearce, S. (2015). Fostering open science to research using a taxonomy and an elearning portal. iKnow: 15th International Conference on Knowledge Technologies and Data Driven Business. http://oro.open.ac.uk/44719/ van der Zee, Tim; Reich, Justin (2018): Open education science. In: AERA Open 4 (3), 233285841878746. DOI: 10.1177/2332858418787466.
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