Research on Science and Technology Project Management Based on Data Knowledge

Keqiang Cheng, Pengnan Zhang, Yao Li, Xiaoyin Liu, Qingyun Dai

Abstract


In the background of big data, the problems existing in the current science and technology project management were analyzed in this paper, and the information technology (IT) such as the internet of things (IOTs) and cloud computing were combined to introduce the characteristics of the science and technology project management. The knowledge base of science and technology project management was put forward by describing the principle of the hierarchical structure of it based on big data. Finally, the paper proposes the model that using the data knowledge to serve decision of science and technology project management from the perspective of the undertaking enterprise of the project, which may be helpful for the innovation of science and technology project management model.

Keywords


Data Knowledge, Science and Technology Project, Knowledge Base, Decision-making Model


DOI
10.12783/dtssehs/hsmet2016/10276