Enhancing the Impact of Science Data: Toward Data Discovery and Reuse
The amount of data produced in support of scientific research continues to grow rapidly. Despite the accumulation and demand for scientific data, relatively little data are actually made available for the broader scientific community. We surmise that one root of this problem is the perceived difficulty of electronically publishing scientific data and associated metadata in a way that makes it discoverable. We propose exploiting Semantic Web technologies and best practices to make metadata both discoverable and easy to publish. We share experiences in curating metadata to illustrate the cumbersome nature of data reuse in the current research environment. We also make recommendations with a real-world example of how data publishers can provide their metadata by adding limited additional markup to HTML pages on the Web. With little additional effort from data publishers, the difficulty of data discovery, access, and sharing can be greatly reduced and the impact of research data greatly enhanced.
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- Conference: Proceedings of the IEEE/ACIS 14th International Conference on Computer and Information Science (ICIS) 2015, June 28-July 1, 2015, Las Vegas, Nevada, 271-277
- T Ito, Y Kim and N Fukuta; Institute of Electrical & Electronics Engineers (IEEE), Piscataway, NJ, United States(US).
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- Pacific Northwest National Laboratory (PNNL), Richland, WA (US)
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- Country of Publication:
- United States
- Linked Data; Data Discovery; Data Publishing Recommendations; Data Curation; Digital Data Sharing