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http://dx.doi.org/10.5392/JKCA.2017.17.09.001

Development of Collaborative Environment for Community-driven Scientific Data Curation  

Choi, Dong-Hoon (한국과학기술정보연구원)
Park, Jae-Won (한국과학기술정보연구원)
Kim, ByungKyu (한국과학기술정보연구원)
Shin, Jin-Sup (한국과학기술정보연구원)
Publication Information
The Journal of the Korea Contents Association / v.17, no.9, 2017 , pp. 1-11 More about this Journal
Abstract
The importance of data curation is increasingly recognized as the need of data reuse drastically grows. Due to recent data explosion, scientists invest almost 90% of their efforts in the retrieval and collection of data needed to their study. In this paper, we deal with the development and application of a collaborative environment for community-driven data curation which is essential to enhance scientific data reusability and citability. The collaborative scientific data curation environment focuses on the cross-linking between data (or data collections) and their associated literatures to capture and organize inter-relations among research results in a specific domain. Also, plenty of contextual information is provided as metadata in order to support users in understanding data. The cross-linking has been realized by using DOI system to guarantee global accessibility to data and their relationships to literatures. The curation environment has been adopted to build a community-driven curated DB by a globally well-known intrinsically-disorderd protein research group. The curated DB will drastically reduce researchers' efforts to retrieve and collect the data required for scientific discovery.
Keywords
Data Reusability; Community-Driven Data Curation; Collaborative Curation Environment; Data-Literature Interlinking; Context Information;
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