我们对管理差距了解多少。

Q2 Computer Science
Data Science Journal Pub Date : 2018-01-01 Epub Date: 2018-08-17 DOI:10.5334/dsj-2018-019
Jeremy York, Myron Gutmann, Francine Berman
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引用次数: 0

摘要

在21世纪,数字数据推动了几乎所有领域的创新和决策。然而,人们对这些数据的总体规模、特征和可持续性知之甚少。在学术领域,人们普遍怀疑,产生的有价值的数字数据量与有效管理和访问的数据量之间存在差距。管理差距项目(http://bit.ly/stewardshipgap)调查并衡量美国赞助学术活动的管理差距的特点。本文在回顾相关文献的基础上,提出了管理差距的初步定义,并调查了已经制定指标和进行测量的管理差距领域,以及尚未开展测量管理差距工作的领域。提出的主要发现是:1)数据是否被负责任地管理,不是一个管理缺口,而是多个“缺口”;2) 差距之间存在关系,可用于指导解决各种管理差距的战略;以及3)为衡量管理差距而进行的研究的类型和深度存在不平衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

What Do We Know About the Stewardship Gap.

What Do We Know About the Stewardship Gap.

What Do We Know About the Stewardship Gap.

In the 21st 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.

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来源期刊
Data Science Journal
Data Science Journal Computer Science-Computer Science (miscellaneous)
CiteScore
5.40
自引率
0.00%
发文量
17
审稿时长
10 weeks
期刊介绍: The Data Science Journal is a peer-reviewed electronic journal publishing papers on the management of data and databases in Science and Technology. Details can be found in the prospectus. The scope of the journal includes descriptions of data systems, their publication on the internet, applications and legal issues. All of the Sciences are covered, including the Physical Sciences, Engineering, the Geosciences and the Biosciences, along with Agriculture and the Medical Science. The journal publishes papers about data and data systems; it does not publish data or data compilations. However it may publish papers about methods of data compilation or analysis.
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