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TeamDR: A Data Repository Management System for Research Teams |
Liu Feng1,2,3(),Li Jianhui1,Zhang Jin1,Han Fang1,Liu Ang1 |
1Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China 2National Science Library, Chinese Academy of Sciences, Beijing 100190, China 3University of Chinese Academy of Sciences, Beijing 100049, China |
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Abstract [Objective] This study aims to effectively storage, manage and reuse scientific data with the help of a specialized data repository management system, the TeamDR, for the research teams. [Context] TeamDR is a Web tool helping scientific research team members organize, storage, manage and share data. It was developed by Java and offered cloud-based and standalone services. [Methods] We first designed a dynamic metadata template to organize and manage scientific research data. MongoDB was then adopted to improve data storage capacity and query performance. [Results] TeamDR stores and manages the scientific research data effectively with the support of, dynamic metadata template, categorized sharing control, and full-text search of metadata. Users’ feedbacks show that TeamDR meets the demands of scientific data storage and management. [Conclusions] TeamDR effectively addresses the issues of scientific data storage and management, data sharing and collaboration, data discovery and linking. However, this system’s usability, completeness and extensibility could be further improved.
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Received: 29 September 2015
Published: 12 April 2016
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