期刊论文详细信息
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.
PDF
【 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 】
附件列表
Files Size Format View
RO201911300774695ZK.pdf 919KB PDF download
  文献评价指标  
  下载次数:14次 浏览次数:39次