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OSIRIS: Open science to increase reproducibility in science

The OSIRIS project will investigate, trial, and implement interventions as well as underlying drivers, barriers, and incentives, with researchers, funders, publishers, in order to improve reproducibility in science based on tested evidence rather than just good ideas.

Published onApr 26, 2023
OSIRIS: Open science to increase reproducibility in science


OSIRIS, a Horizon Europe project starting in January 2023, will investigate, trial, and implement interventions to improve reproducibility in science, as well as underlying drivers, barriers, and incentives. While over the past decade many interventions to improve reproducibility have been introduced, targeted at funders, publishers, or individual researchers, only few of them have been empirically tested. OSIRIS will do just that, testing existing and newly developed interventions through controlled trials.

KU Leuven researchers will investigate the underlying drivers and effective interventions that increase reproducibility at funding, publishing, university, and researcher-level. Research will involve systematic scoping review, evidence mapping, semi-structured interviews, and focus group discussions with different stakeholders across Europe. Stakeholder groups include researchers, funders, government agencies, publishers, reproducibility action groups (ReproducibiliTea clubs, National Reproducibility Networks), and other specialized careers (e.g. data stewards and statisticians) that promote reproducibility. Interventions include open science practices such as preregistration of research methods, preprint publishing, FAIR data, and the sharing of research data, code, and protocols. Existing policies and guidelines of institutions, funders, and publishers will be audited and model policies developed.

The aim of OSIRIS in the long term is to deliver and disseminate guidance about evidence-based interventions that can improve the reproducibility of scientific findings. This poster presents the OSIRIS research activities that will take place, as well as the ways in which KU Leuven researchers will be able to participate in trials and training activities.


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Author biographies

Magdalena Kozula (KU Leuven) is a PhD researcher in the OSIRIS project at the Faculty of Psychology and Educational Sciences. She has previous expertise in higher education and research, both at the level of policy and project work in Europe and the US. Her research interests include higher education, circulation of knowledge, the societal impact of HEIs and research, and the open science movement, with a qualitative focus. 

Patrick Onghena (KU Leuven) is professor of educational and behavioral statistics and methodology at the Faculty of Psychology and Educational Sciences. His research interests include single-case experimental designs, distribution-free statistical inference, mixed methods research synthesis, research on statistics education, and meta-research.

Veerle Van den Eynden (KU Leuven) is expert advisor Research Data Management (RDM) at the KU Leuven RDM Competence Centre that delivers RDM tools, services, and training to all KU Leuven researchers. She has 15 years of expertise in data management and data sharing for the social, environmental, and health sciences, providing advice, training, policy development, and practical implementation. She has worked in this area at the UK Data Archive, Medical Research Council UK, University of London, and now KU Leuven.

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