"Open Access Effects" - Structural and author specific influencing factors on the impact of OA publications (OASE)
Leader: Dr. Philipp Mayr
Scientific unit: Dep. Knowledge Technologies for the Social Sciences (WTS)
The project describes the transformation process from traditional to OA publishing with a bibliometric approach and analyzes existing (if applicable future) publishing strategies and conflicts in the context of OA.
The project will study systematically, longitudinally and comprehensively the structural and author specific influencing factors of OA impact in the social sciences, economics and selected sciences. Traditional and altmetric indicators will test the validity of popular thesis on OA. We focus on most relevant thesis and influencing factors which are discussed in the literature and seek to validate the thesis, quantify the effects, show the causal associations and answer novel problems. We ask: wherein exists the “genuine” OA effect (e.g. increased citation and altmetric rates via accessibility)? In which extent appears the OA effect in difference constellations (combination of structural and author specific properties)?
The study bases on articles from the Web of Science databases. These articles will be aggregated differently for the three work packages, e.g. on the author level, and will be analyzed in a bibliometric and altmetric way. In addition, we will perform quantitative surveys, interviews and workshops with authors who have published in OA and/or cited/shared OA to validate the results from the bibliometrics and altmetric studies and to gain deeper insights in the discipline specific OA publishing and OA citing behavior. These insights will flow into a model of transdisciplinary and discipline specific influencing factors. The three work packages divide into structural (WP1) and author specific properties of OA publications (WP2), author surveys (WP3) and assume in a report of the OASE “lessons learned”.
OASE-Projektantrag [PDF] (197 kB)
- Dr. Nicholas Fraser, Prof. Dr. Isabella Peters (ZBW Leibniz-Informationszentrum Wirtschaft & CAU Christian-Albrechts-Universität zu Kiel)
- Hobert, A., Jahn, N., Mayr, P., Schmidt, B., & Taubert, N. (2021). Open access uptake in Germany 2010-18: Adoption in a diverse research landscape. Scientometrics, 126(12), 9751–9777. https://doi.org/10.1007/s11192-021-04002-0
- Momeni, F., Mayr, P., Fraser, N., & Peters, I. (2021). What happens when a journal converts to Open Access? A bibliometric analysis. Scientometrics, 126(12), 9811–9827. doi.org/10.1007/s11192-021-03972-5
- Fraser, N., Hobert, A., Jahn, N., Mayr, P., & Peters, I. (2021). No Deal: Investigating the Influence of Restricted Access to Elsevier Journals on German Researchers’ Publishing and Citing Behaviours. Preprint: http://arxiv.org/abs/2105.12078
- Fraser, N., Mayr, P., & Peters, I. (2021). Motivations, concerns and selection biases when posting preprints: A survey of bioRxiv authors. Preprint: doi.org/10.1101/2021.09.07.459259
- Fraser, N., Brierley, L., Dey, G., Polka, J. K., Pálfy, M., Nanni, F., & Coates, J. A. (2021). The evolving role of preprints in the dissemination of COVID-19 research and their impact on the science communication landscape. PLOS Biology, 19(4), e3000959. doi.org/10.1371/journal.pbio.3000959
- Fraser, N., Momeni, F., Mayr, P., & Peters, I. (2020). The relationship between bioRxiv preprints, citations and altmetrics. Quantitative Science Studies, 1(2), 618–638. https://doi.org/10.1162/qss_a_00043
- Fraser, N., Momeni, F., Mayr, P., & Peters, I. (2019). Examining the citation and altmetric advantage of bioRxiv preprints. Proceedings of the 17th International Conference on Scientometrics & Informetrics (ISSI 2019).
- Momeni, F., Mayr, P., Fraser, N., & Peters, I. (2019). From closed to open access: A case study of flipped journals. Proceedings of the 17th International Conference on Scientometrics & Informetrics (ISSI 2019). arxiv.org/abs/1903.11682
- Abediyarandi, N., & Mayr, P. (2019). The State of Open Access in Germany: An Analysis of the Publication Output of German Universities. Proceedings of the 17th International Conference on Scientometrics & Informetrics (ISSI 2019). arxiv.org/abs/1905.00011