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
[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.
刘峰,黎建辉,张进,韩芳,刘昂. TeamDR:面向科研团队的数据知识库管理系统*[J]. 现代图书情报技术, 2016, 32(3): 82-89.
Liu Feng,Li Jianhui,Zhang Jin,Han Fang,Liu Ang. TeamDR: A Data Repository Management System for Research Teams. New Technology of Library and Information Service, 2016, 32(3): 82-89.