Dark Data as the New Challenge for Big Data Science and the Introduction of the Scientific Data Officer
Dark Data as the New Challenge for Big Data Science and the Introduction of the Scientific Data Officer
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暗数据作为大数据科学的新挑战以及科学数据官的引入
DOI：
10.1007/s13347-019-00346-x
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发表时间：
2019
影响因子：
--
通讯作者：
J. M. Durán
中科院分区：
文献类型：
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作者：
B. Schembera;J. M. Durán
许多大数据研究都集中于研究人员可用数据的使用，而没有处理服务器上但研究人员不知道的数据。我们将其称为暗数据，在本文中，我们将在高性能计算 (HPC) 设施的背景下介绍和讨论它。为此，我们提供了欧洲主要 HPC 设施——斯图加特高性能计算中心 (HLRS) 的统计数据。我们还提出了一个专门针对暗数据和一般数据管理的新职位。我们将其称为科学数据官 (SDO)，并将其与 HPC 设施中的其他标准职位（例如首席数据官、系统管理员和安全官）区分开来。为了理解 SDO 在 HPC 设施中的作用，我们讨论两种责任，即技术责任和道德责任。前者旨在描述这一立场，而后者则对 SDO 将获得的控制权和权力提出了担忧并提出了解决方案。
Many studies in big data focus on the uses of data available to researchers, leaving without treatment data that is on the servers but of which researchers are unaware. We call this dark data, and in this article, we present and discuss it in the context of high-performance computing (HPC) facilities. To this end, we provide statistics of a major HPC facility in Europe, the High-Performance Computing Center Stuttgart (HLRS). We also propose a new position tailor-made for coping with dark data and general data management. We call it the scientific data officer (SDO) and we distinguish it from other standard positions in HPC facilities such as chief data officers, system administrators, and security officers. In order to understand the role of the SDO in HPC facilities, we discuss two kinds of responsibilities, namely, technical responsibilities and ethical responsibilities. While the former are intended to characterize the position, the latter raise concerns—and proposes solutions—to the control and authority that the SDO would acquire.
DOI：
10.3847/1538-4365/aab77e
发表时间：
2018-02
期刊：
The Astrophysical Journal Supplement Series
影响因子：
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作者：
P. Heidorn;Gretchen R. Stahlman;Julie Steffen
通讯作者：
P. Heidorn;Gretchen R. Stahlman;Julie Steffen