Recommendations on Open Science Rewards and Incentives Guidance for Multiple Stakeholders in Research
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F25%3A106443" target="_blank" >RIV/60460709:41330/25:106443 - isvavai.cz</a>
Result on the web
<a href="https://datascience.codata.org/articles/10.5334/dsj-2025-015" target="_blank" >https://datascience.codata.org/articles/10.5334/dsj-2025-015</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5334/dsj-2025-015" target="_blank" >10.5334/dsj-2025-015</a>
Alternative languages
Result language
angličtina
Original language name
Recommendations on Open Science Rewards and Incentives Guidance for Multiple Stakeholders in Research
Original language description
Open Science contributes to the collective building of scientific knowledge and societal progress. However, academic research currently fails to recognise and reward efforts to share research outputs. Yet it is crucial that such activities be valued, as they require considerable time, energy, and expertise to make scientific outputs usable by others, as stated by the FAIR principles. To address this challenge, several bottom-up and top-down initiatives have emerged to explore ways to assess and credit Open Science activities (e.g., Research Data Alliance, RDA) and to promote the assessment of a broad spectrum of research outputs, including datasets and software (e.g., Coalition for Advancing Research Assessment, CoARA). As part of the RDA-SHARC (SHAring Rewards and Credit) interest group, we have developed a set of recommendations to help implement various rewarding schemes at different levels. The recommendations target a broad range of stakeholders. For instance, institutions are encouraged to provide digital services and infrastructure, organise training and cover expenses associated with making data available for the community. Funders should establish policies requiring Open Access to data produced by funded research and provide corresponding support. Publishers should favour open peer-review models and Open Access to articles, data, and software. Government policymakers should set up a comprehensive Open Science strategy, as recommended by UNESCO and followed by a growing number of countries. The present work details different measures that are proposed to the stakeholders. The need to include sharing activities in research evaluation schemes as an overarching mechanism to promote Open Science practices is specifically emphasised.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Data Science Journal
ISSN
16831470
e-ISSN
16831470
Volume of the periodical
24
Issue of the periodical within the volume
15
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
19
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-105005869878