Design and Implementation of Scientific Research Big Data Service Platform for Experimental Data Managing

Zeqiu Fan, Huan Zhou, Zixin Chen, Daocheng Hong, Ye Wang, Qiwen Dong

Abstract: The goal of the scientific research big data service platform for experimental data managing is to solve the problem of data silos in the state-owned scientific research management system caused by backward informatization. The new data service platform integrates data collection, data analysis, data governance, monitoring and management, prediction and early warning, and visualization platform. We are committed to improving data management and service capability with informatization, and to grasp the material development and design situation timely and accurately. The goal of our platform is to truly use data to speak, manage and make decisions with data.