奖励研究数据管理

Joachim Schöpfel, Otmane Azeroual
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引用次数: 3

摘要

在开放科学的背景下,良好的研究数据管理(RDM),包括数据共享和数据重用,已经成为研究政策的主要目标。然而,研究和监测表明,开放科学实践尚未成为广泛的主流。奖励和激励已被建议作为一种解决方案,以促进和加速开放和透明的RDM的发展。在相关文献的基础上,我们的论文对三个主要问题进行了批判性的分析:应该奖励和激励什么,应该奖励谁,应该使用什么样的奖励和激励?在总结分析时,我们要问是否真的有必要和适当地将RDM视为个人(行为)问题,因为主要挑战在其他地方,而不是个人,而是技术,制度和财务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rewarding Research Data Management
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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