Resource Discovery for Extreme Scale Collaboration (RDESC) Final Report - RPI/TWC - Year 3

Fox, Peter¹ 

[1] Rensselaer Polytechnic Inst., Troy, NY (United States)

关键词: Resource discovery;    linked data;    schema markup;    small and large-scale data publishing;   

DOI  :  10.2172/1252975
RP-ID  :  Final report-RPI/TWC-year 3
PID  :  OSTI ID: 1252975
Others  :  Other: DE-FG02-??12ER26106

学科分类：自然科学（综合）

美国|英语

来源: SciTech Connect

【 摘 要 】

The amount of data produced in the practice of science is growing rapidly. Despite the accumulation and demand for scientific data, relatively little is actually made available for the broader scientific community. We surmise that the root of the problem is the perceived difficulty to electronically publish scientific data and associated metadata in a way that makes it discoverable. We propose to exploit Semantic Web technologies and practices to make (meta)data discoverable and easy to publish. We share our experiences in curating metadata to illustrate both the flexibility of our approach and the pain of discovering data in the current research environment. We also make recommendations by concrete example of how data publishers can provide their (meta)data by adding some limited, additional markup to HTML pages on the Web. With little additional effort from data publishers, the difficulty of data discovery/access/sharing can be greatly reduced and the impact of research data greatly enhanced.