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Open Science, Open Data, and Open Scholarship: European Policies to Make Science Fit for the Twenty-First Century.开放科学、开放数据与开放学术:让科学适应21世纪的欧洲政策
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2
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Defining Success in Open Science.定义开放科学中的成功。
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本文引用的文献

1
Opportunities in Open Science With AI.人工智能助力开放科学的机遇。
Front Big Data. 2019 Sep 27;2:26. doi: 10.3389/fdata.2019.00026. eCollection 2019.
2
FAIRsharing as a community approach to standards, repositories and policies.FAIRsharing作为一种针对标准、存储库和政策的社区方法。
Nat Biotechnol. 2019 Apr;37(4):358-367. doi: 10.1038/s41587-019-0080-8.
3
A design framework and exemplar metrics for FAIRness.公平性的设计框架及示例指标。
Sci Data. 2018 Jun 26;5:180118. doi: 10.1038/sdata.2018.118.
4
Research data explored: an extended analysis of citations and altmetrics.所探究的研究数据:对引用和替代计量指标的扩展分析
Scientometrics. 2016;107:723-744. doi: 10.1007/s11192-016-1887-4. Epub 2016 Feb 15.
5
The FAIR Guiding Principles for scientific data management and stewardship.科学数据管理和保存的 FAIR 指导原则。
Sci Data. 2016 Mar 15;3:160018. doi: 10.1038/sdata.2016.18.
6
What drives academic data sharing?是什么推动了学术数据共享?
PLoS One. 2015 Feb 25;10(2):e0118053. doi: 10.1371/journal.pone.0118053. eCollection 2015.
7
If we share data, will anyone use them? Data sharing and reuse in the long tail of science and technology.如果我们共享数据,会有人使用吗?科学技术长尾中的数据共享和再利用。
PLoS One. 2013 Jul 23;8(7):e67332. doi: 10.1371/journal.pone.0067332. Print 2013.
8
Altmetrics: Value all research products.替代计量学:重视所有研究成果。
Nature. 2013 Jan 10;493(7431):159. doi: 10.1038/493159a.
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Improving validation practices in "omics" research.改进“组学”研究中的验证实践。
Science. 2011 Dec 2;334(6060):1230-2. doi: 10.1126/science.1211811.
10
Data sharing by scientists: practices and perceptions.科学家的数据共享:实践与看法。
PLoS One. 2011;6(6):e21101. doi: 10.1371/journal.pone.0021101. Epub 2011 Jun 29.

开放科学、开放数据与开放学术:让科学适应21世纪的欧洲政策

Open Science, Open Data, and Open Scholarship: European Policies to Make Science Fit for the Twenty-First Century.

作者信息

Burgelman Jean-Claude, Pascu Corina, Szkuta Katarzyna, Von Schomberg Rene, Karalopoulos Athanasios, Repanas Konstantinos, Schouppe Michel

机构信息

Open Science, DG Research and Innovation, European Commission, Brussels, Belgium.

出版信息

Front Big Data. 2019 Dec 10;2:43. doi: 10.3389/fdata.2019.00043. eCollection 2019.

DOI:10.3389/fdata.2019.00043
PMID:33693366
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7931888/
Abstract

Open science will make science more efficient, reliable, and responsive to societal challenges. The European Commission has sought to advance open science policy from its inception in a holistic and integrated way, covering all aspects of the research cycle from scientific discovery and review to sharing knowledge, publishing, and outreach. We present the steps taken with a forward-looking perspective on the challenges laying ahead, in particular the necessary change of the rewards and incentives system for researchers (for which various actors are co-responsible and which goes beyond the mandate of the European Commission). Finally, we discuss the role of artificial intelligence (AI) within an open science perspective.

摘要

开放科学将使科学更高效、可靠,并能更好地应对社会挑战。欧盟委员会从一开始就试图以全面和综合的方式推进开放科学政策,涵盖从科学发现与评审到知识共享、出版及推广等研究周期的各个方面。我们从前瞻性的角度阐述为应对未来挑战所采取的措施,特别是研究人员奖励和激励体系的必要变革(对此各相关方都负有共同责任,且超出了欧盟委员会的职权范围)。最后,我们将探讨人工智能在开放科学视角下的作用。