Frontiers of Data and Computing ›› 2024, Vol. 6 ›› Issue (4): 3-21.

CSTR: 32002.14.jfdc.CN10-1649/TP.2024.04.001

doi: 10.11871/jfdc.issn.2096-742X.2024.04.001

• Special Issue: Fundamental Software Stack and Systems for National Scientific Data Centers • Previous Articles     Next Articles

Research Data Network: Concept, Systems and Applications

SHEN Zhihong1,*(),ZHU Xiaojie1,WANG Huajin1,TONG Jizhou2,GUO Xuebing3,WU Hui4,MIN Yufang5,WU Linhuan6   

  1. 1. Computer Network Information Center, Chinese Academy of Science, Beijing 100083
    2. National Space Science Center, Chinese Academy of Sciences, Beijing 100190
    3. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101
    4. Institute of Botany, Chinese Academy of Sciences, Beijing 100093
    5. Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000
    6. Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101
  • Received:2024-02-02 Online:2024-08-20 Published:2024-08-20

Abstract:

[Background] Research data exhibits typical characteristics of being dispersed, heterogeneous, and siloed. It is of great significance to build infrastructures that can break down barriers between various isolated islands and effectively integrate distributed research data resources. [Methods] After reviewing the state of network-based research data platforms and technological systems, this paper explains the concept, characteristics, functions, and key technologies of the Research Data Network. To meet the collaborative needs of research data within the new research paradigm, this paper proposes RDCN as a collaboration-enabled research data network and introduces its design and implementation. [Results] The research data network can effectively address the issues of dispersed, heterogeneous, and siloed data. RDCN will play a significant role in research collaboration scenarios, such as biodiversity research, ecosystem field station observations, and multi-messenger astronomy research.

Key words: research data, convergence science, network-like research data platform, research data network, research data collaboration network