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Rewarding Research Data Management

Abstract : In the context of open science, good research data management (RDM), including data sharing and data reuse, has become a major goal of research policy. However, studies and monitors reveal that open science practices are not yet widely mainstream. Rewards and incentives have been suggested as a solution, to facilitate and accelerate the development of open and transparent RDM. Based on relevant literature, our paper provides a critical analysis of three main issues: what should be rewarded and incentivized, who should be rewarded, and what kind of rewards and incentives should be used? Concluding the analysis, we ask if it is really necessary and appropriate to consider RDM as an individual (behavioral) issue, as the main challenges are elsewhere, not personal, but technological, institutional and financial.
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Contributor : Joachim Schöpfel <>
Submitted on : Monday, March 29, 2021 - 1:58:14 PM
Last modification on : Friday, April 2, 2021 - 3:24:56 AM


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Joachim Schöpfel, Otmane Azeroual. Rewarding Research Data Management. Sci-K 2021: 1st International Workshop on Scientific Knowledge Representation, Discovery, and Assessment, Apr 19 – 23, 2021, Ljubljana, Slovenia, 2021, Ljubljana, Slovenia. ⟨10.1145/1122445.1122456⟩. ⟨hal-03184357⟩



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