The Astrolabe Project: Identifying and Curating Astronomical ‘Dark Data’ through Development of Cyberinfrastructure Resources
The Astrolabe Project: Identifying and Curating Astronomical ‘Dark Data’ through Development of Cyberinfrastructure Resources
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星盘项目：通过开发网络基础设施资源来识别和管理天文“暗数据”
DOI：
10.1051/epjconf/201818603003
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发表时间：
2018
影响因子：
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通讯作者：
Dorch, B.
中科院分区：
文献类型：
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作者：
Stahlman, Gretchen;Bryan Heidorn, P.;Steffen, Julie;Lesteven, S.;Kern, B.;D’Abrusco, R.;Dorch, B.
随着研究数据集和分析变得越来越复杂，对其他研究人员有价值并支持已发表工作完整性的数据仍然没有跨学科管理。这些数据尤其集中在受资助研究的“长尾”中，这些研究往往无法获得策展资源和相关专业知识。在天文学领域，毫无疑问存在未经管理的“暗数据”，但问题的范围仍然不确定。“星盘”项目是亚利桑那大学研究人员、CyVerse网络基础设施环境和美国天文学会之间的合作，其使命是识别和吸收以前未管理的天文数据，并提供强大的计算环境分析和共享数据，以及为希望存款与出版物相关的数据的作者提供服务。根据2015年和2016年举办的两次研讨会获得的专家反馈，Astrolabe部分由美国国家科学基金会资助。该系统正在CyVerse内积极开发，Astrolabe的合作者正在为原型系统征集异构数据集和潜在用户。Astrolabe团队成员目前正在努力描述未经管理的天文数据的特性，并开发自动化方法来定位潜在有用的数据，以便有针对性地摄取到Astrolabe中，同时为新的数据管理系统培养用户社区。
As research datasets and analyses grow in complexity, data that could be valuable to other researchers and to support the integrity of published work remain uncurated across disciplines. These data are especially concentrated in the “Long Tail” of funded research, where curation resources and related expertise are often inaccessible. In the domain of astronomy, it is undisputed that uncurated "dark data" exist, but the scope of the problem remains uncertain. The “Astrolabe” Project is a collaboration between University of Arizona researchers, the CyVerse cyberinfrastructure environment, and the American Astronomical Society, with a mission to identify and ingest previously-uncurated astronomical data, and to provide a robust computational environment for analysis and sharing of data, as well as services for authors wishing to deposit data associated with publications. Following expert feedback obtained through two workshops held in 2015 and 2016, Astrolabe is funded in part by National Science Foundation. The system is being actively developed within CyVerse, and Astrolabe collaborators are soliciting heterogeneous datasets and potential users for the prototype system. Astrolabe team members are currently working to characterize the properties of uncurated astronomical data, and to develop automated methods for locating potentially-useful data to be targeted for ingest into Astrolabe, while cultivating a user community for the new data management system.