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本文引用的文献

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A game theoretic analysis of research data sharing.研究数据共享的博弈论分析
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2
Changes in Data Sharing and Data Reuse Practices and Perceptions among Scientists Worldwide.全球科学家在数据共享、数据重用实践及认知方面的变化。
PLoS One. 2015 Aug 26;10(8):e0134826. doi: 10.1371/journal.pone.0134826. eCollection 2015.
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Sizing the Problem of Improving Discovery and Access to NIH-Funded Data: A Preliminary Study.评估改善 NIH 资助数据发现和获取问题的规模:一项初步研究。
PLoS One. 2015 Jul 24;10(7):e0132735. doi: 10.1371/journal.pone.0132735. eCollection 2015.
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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.
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How do astronomers share data? Reliability and persistence of datasets linked in AAS publications and a qualitative study of data practices among US astronomers.天文学家如何共享数据?美国天文学会出版物中数据集的可靠性和持久性以及对美国天文学家数据实践的定性研究。
PLoS One. 2014 Aug 28;9(8):e104798. doi: 10.1371/journal.pone.0104798. eCollection 2014.
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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.
7
Willingness to share research data is related to the strength of the evidence and the quality of reporting of statistical results.研究数据共享意愿与证据强度和统计结果报告质量有关。
PLoS One. 2011;6(11):e26828. doi: 10.1371/journal.pone.0026828. Epub 2011 Nov 2.
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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.
9
Dealing with data. Challenges and opportunities. Introduction.数据处理。挑战与机遇。引言。
Science. 2011 Feb 11;331(6018):692-3. doi: 10.1126/science.331.6018.692.
10
The world's technological capacity to store, communicate, and compute information.全球存储、传播和处理信息的技术能力。
Science. 2011 Apr 1;332(6025):60-5. doi: 10.1126/science.1200970. Epub 2011 Feb 10.

我们对管理差距了解多少?

What Do We Know About the Stewardship Gap.

作者信息

York Jeremy, Gutmann Myron, Berman Francine

机构信息

University of Michigan.

University of Colorado Boulder.

出版信息

Data Sci J. 2018;17. doi: 10.5334/dsj-2018-019. Epub 2018 Aug 17.

DOI:10.5334/dsj-2018-019
PMID:30962801
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6450659/
Abstract

In the 21 century, digital data drive innovation and decision-making in nearly every field. However, little is known about the total size, characteristics, and sustainability of these data. In the scholarly sphere, it is widely suspected that there is a gap between the amount of valuable digital data that is produced and the amount that is effectively stewarded and made accessible. The Stewardship Gap Project (http://bit.ly/stewardshipgap) investigates characteristics of, and measures, the stewardship gap for sponsored scholarly activity in the United States. This paper presents a preliminary definition of the stewardship gap based on a review of relevant literature and investigates areas of the stewardship gap for which metrics have been developed and measurements made, and where work to measure the stewardship gap is yet to be done. The main findings presented are 1) there is not one stewardship gap but rather multiple "gaps" that contribute to whether data is responsibly stewarded; 2) there are relationships between the gaps that can be used to guide strategies for addressing the various stewardship gaps; and 3) there are imbalances in the types and depths of studies that have been conducted to measure the stewardship gap.

摘要

在21世纪,数字数据推动着几乎每个领域的创新和决策。然而,对于这些数据的总体规模、特征和可持续性,我们却知之甚少。在学术领域,人们普遍怀疑,所产生的有价值数字数据量与得到有效管理并可获取的数据量之间存在差距。管理差距项目(http://bit.ly/stewardshipgap)对美国受资助学术活动的管理差距特征进行调查并加以衡量。本文在回顾相关文献的基础上,给出了管理差距的初步定义,并对已制定指标并进行测量的管理差距领域,以及有待开展管理差距测量工作的领域进行了调查。所呈现的主要研究结果为:1)并非存在一种管理差距,而是存在多种“差距”,这些“差距 ”共同影响着数据是否得到妥善管理;2)这些差距之间存在关联,可用于指导应对各种管理差距的策略;3)在为测量管理差距而开展的研究类型和深度方面存在不平衡。