Data Science Journal | |
Web Syndication Approaches for Sharing Primary Data in "Small Science" Domains | |
Ahrash Bissell1  Eric C. Kansa2  | |
[1] The William and Flora Hewlett Foundation;School of Information, UC Berkeley | |
关键词: eScience; Cyberinfrastucture; Atom Syndication Format; Linked Data; Semantic Web; Small Science; Field Science; Open Data; Open Access; Data Sharing; | |
DOI : 10.2481/dsj.009-012 | |
学科分类:计算机科学(综合) | |
来源: Ubiquity Press Ltd. | |
【 摘 要 】
References(70)In some areas of science, sophisticated web services and semantics underlie "cyberinfrastructure". However, in "small science" domains, especially in field sciences such as archaeology, conservation, and public health, datasets often resist standardization. Publishing data in the small sciences should embrace this diversity rather than attempt to corral research into "universal" (domain) standards. A growing ecosystem of increasingly powerful Web syndication based approaches for sharing data on the public Web can offer a viable approach. Atom Feed based services can be used with scientific collections to identify and create linkages across different datasets, even across disciplinary boundaries without shared domain standards.
【 授权许可】
Unknown
【 预 览 】
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RO201911300774695ZK.pdf | 919KB | download |