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NEW ARP: Data-Driven Academia Resource Planning for CAS Researchers
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Author(s): Yue Wang (Computer Network Information Center, CAS, China & University of Chinese Academy of Sciences, China)and Jianjun Yu (Computer Network Information Center, CAS, China)
Copyright: 2023
Pages: 13
Source title:
Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch022
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Abstract
This article introduces the data-driven management system named the NEW ARP (Academia Resource Planning) for CAS (Chinese Academy of Science) researchers. It combines the business-driven mode with the data-driven mode by using big-data technologies to conduct a service-oriented architecture. The article mainly focuses on three major aspects of the research work, including the data-driven application framework, the data-driven business processes, and intelligent decision-making through data-driven innovation. It presents a “service-management-decision support” data ecological environment during scientific research management and plans to explore further analysis based on data governance.
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