Frontiers of Data and Computing ›› 2026, Vol. 8 ›› Issue (3): 81-95.

doi: 10.11871/jfdc.issn.2096-742X.2026.03.008

• Technology and Application • Previous Articles     Next Articles

Condensed Matter Science Data Submission System

LUO Feng1,2(),ZHOU Mingbo1,2,LI Jiahao1,3,YUAN Jie1,2,WENG Hongming1,2,*()   

  1. 1 Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
    2 National Center for Condensed Matter Physics Data, Chinese Academy of Sciences, Beijing 100190, China
    3 School of Physics and Materials Science, Tianjin Normal University, Tianjin 300387, China
  • Received:2025-08-12 Online:2026-06-20 Published:2026-06-18
  • Contact: WENG Hongming E-mail:luofeng@iphy.ac.cn;hmweng@iphy.ac.cn

Abstract:

[Objective] To address the issues of fragmented data management, insufficient standardization, and low submission efficiency in condensed matter science research, a data submission system covering the entire data lifecycle was designed and implemented. [Application Background] In response to the policy requirements of the “Measures for the Management of Scientific Data” issued by the state, the system aims to ensure the traceability, security, and sharing value of scientific research data. [Methods] A two-system design solution of “MatElab+CMPDC” was proposed: MatElab, through a three-level data management system (notebook, experimental record, and module), dynamic templates, and digital signature technology, realizes the structured collection of experimental data and source standardization; CMPDC provides functions such as data review, resource mapping, and permission control, combined with MINA-FTP dynamic transmission and Freemarker+Aspose intelligent certificate generation technology, to solve the problems of large file transmission and certificate output. [Conclusions] Since its launch in 2024, the system has successfully supported data submission tasks of 8 projects and 14 topics, significantly improving data quality and management efficiency, and providing technical support for the secure storage, compliant submission, and cross-disciplinary sharing of scientific research data.

Key words: scientific data submission, condensed matter science, data center, Matlab, data management, data sharing