Journal of East China Normal University(Natural Science) ›› 2022, Vol. 2022 ›› Issue (5): 1-13.doi: 10.3969/j.issn.1000-5641.2022.05.001

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Design of experimental data governance module for chemical material formulation

Yiming YU, Yuchen HONG, Ye WANG*(), Qiwen DONG   

  1. School of Data Science and Engineering, East China Normal University, Shanghai 200062, China
  • Received:2022-07-20 Accepted:2022-07-21 Online:2022-09-25 Published:2022-09-26
  • Contact: Ye WANG E-mail:ywang@dase.ecnu.edu.cn

Abstract:

As a new type of production factor, data elements are becoming key to enterprise development. As an important component of national economic production, the chemical material industry must upgrade their data information system according to the needs of its construction. In this regard, a tailored data governance module is proposed for managing experimental formula data in the chemical material industry. The data governance module proposes the use of corresponding data standards and specifications according to the current business scenario of the enterprise. The system obtains data from the front end, improves its quality, stores it in a database, evaluates the data from the back end, and finally returns it to the front end for display, thereby creating a closed-loop negative feedback system.

Key words: data governance, chemical industry, data assets

CLC Number: