公平和透明的研究数据

Open Science Talk Pub Date : 2021-07-09 DOI:10.7557/19.5916
K. Ruud, P. P. Aspaas
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引用次数: 0

摘要

这段采访是在2020年7月为DocEnhance录制的,这是一个欧盟资助的项目,旨在通过开发可转移技能课程来拓宽博士的专业知识。其中一个可转移的技能是如何以透明的方式管理您的研究数据,并尽可能按照FAIR原则(可查找、可访问、可互操作、可重复)。挪威北极大学计算化学教授兼研究与发展主任Kenneth Ruud介绍了公平和透明的研究数据管理,强调这不仅有助于科学的发展,也有助于个人研究人员的职业生涯。首次在线发布:2021年7月9日。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FAIR and transparent research data
This interview was recorded in July 2020 for DocEnhance, an EU-funded project that aims to broaden the expertise of PhDs by developing courses in transferable skills. One such transferable skill is how to manage your research data in a transparent manner and as much as possible in accordance with the FAIR principles (Findable, Accessible, Interoperable, Reproducible). Professor of computational chemistry and prorector for research and development at UiT The Arctic University of Norway, Kenneth Ruud gives an introduction to FAIR and transparent research data management, emphasizing that this will not only help Science develop, but also help the career of individual researchers. First published online: July 9, 2021.
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