Published October 29, 2024 | Version 1.1
Other Open

Recommendations on Open Science Rewards and Incentives - Guidance for Multiple Stakeholders in Research

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 Advancement of 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. The funders should establish policies requiring open access to data produced by funded research and provide corresponding support. The 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.

Note version 1.1 supersedes version 1 published 29 October 2024

Notes

In Version 1.1 we have made several minor edits to mirror the changes suggested by the reviewers of the Data Science Journal to our manuscript. The edits include different wording and new references. The specific changes can be seen at commits 06bbbea659ba354eda4957de20e90c5941792c16 and 11903345d51400e1a39ef62bcaf076eb7050078f of our GitHub repository (https://github.com/bienflorencia/rda-sharc-reco)

Files

SHARC IG Recommendations on Open Science Rewards and Initiatives V1.1 July 2025.pdf

Additional details

Dates

Other
2024-10-29