Community-Driven Data Curation System for Reusability

Due to recent data explosion, scientists invest most of their efforts in the collection of data needed for research. In this paper, we address the community-driven data curation system which is essential to enhancing data understandability and reusability, thereby reducing the efforts for data collection. The curation system focuses on the interlinking between data and their related literatures to capture and organize the associations among research output. The system also focuses on domain-specific contextual information to help users understand data. A global research group in protein study has adopted the system to build a community-driven curated database and established a guideline for scientific discovery.