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Challenges of Promoting Open Science within the NI4OS-Europe Project in Hungary

Author

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  • Ákos Lencsés

    (Governmental Agency for IT Development, 1134 Budapest, Hungary
    Department of Cultural Studies, Kodolányi János University, 1139 Budapest, Hungary)

  • Péter Sütő

    (University Library, University of Public Service, 1083 Budapest, Hungary)

Abstract

National Initiatives for Open Science in Europe (NI4OS-Europe) is a Horizon 2020 project related to the European Open Science Cloud (EOSC). One of the project objectives is promoting EOSC and open science in 15 Central and East European EU states and EU-associated countries. This paper describes the variety of promoting activities carried out in Hungary as part of the NI4OS-Europe project by the Governmental Agency for IT Development (KIFÜ). Identifying good practices will give us the chance to find the best communication channels and methods to promote open science and to manage expectations of funders, researchers and librarians. The audience diversity of organized NI4OS events was analyzed in this study. The anonymized dataset based on registration forms was filtered by profession. Results suggest that events are generally visited by more librarians than researchers. The only exception is the third forum where the main Hungarian research fund as co-organizer might have attracted researchers’ attention. This suggests that librarians are considered to be in charge of open science issues in general. Usage data of the open science news feed were also studied. The 130 posts between May 2021 and April 2022 and 2500 visitors until the end of June 2022 give us the chance to learn about the characteristics of the most visited posts. We can conclude that the focus of communication is on open and FAIR data management, while other areas receive less attention. The results show that despite more international posts being published, the target group is more interested in local information.

Suggested Citation

  • Ákos Lencsés & Péter Sütő, 2022. "Challenges of Promoting Open Science within the NI4OS-Europe Project in Hungary," Publications, MDPI, vol. 10(4), pages 1-13, December.
  • Handle: RePEc:gam:jpubli:v:10:y:2022:i:4:p:51-:d:998509
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    1. Kristijan Armeni & Loek Brinkman & Rickard Carlsson & Anita Eerland & Rianne Fijten & Robin Fondberg & Vera E Heininga & Stephan Heunis & Wei Qi Koh & Maurits Masselink & Niall Moran & Andrew Ó Baoill, 2021. "Towards wide-scale adoption of open science practices: The role of open science communities," Science and Public Policy, Oxford University Press, vol. 48(5), pages 605-611.
    2. Andreoli-Versbach, Patrick & Mueller-Langer, Frank, 2014. "Open access to data: An ideal professed but not practised," Research Policy, Elsevier, vol. 43(9), pages 1621-1633.
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    More about this item

    Keywords

    Hungary; NI4OS-Europe; EOSC; open science; science communication;
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