Sustainable Insights for Energy Big Data Governance in China: Full Life Cycle Curation from the Ecosystem Perspective

Ming Zeng, Yanbin Xu, Haoyu Wu, Jiaxin Ma and Jianwei Gao
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Ming Zeng: School of Economics and Management, North China Electric Power University, Changping District, Beijing 102206, China
Yanbin Xu: School of Economics and Management, North China Electric Power University, Changping District, Beijing 102206, China
Haoyu Wu: School of Economics and Management, North China Electric Power University, Changping District, Beijing 102206, China
Jiaxin Ma: School of Economics and Management, North China Electric Power University, Changping District, Beijing 102206, China
Jianwei Gao: School of Economics and Management, North China Electric Power University, Changping District, Beijing 102206, China

Sustainability, 2022, vol. 14, issue 10, 1-30

Abstract: With the development of the Energy Internet and the Internet of Things, diversified social production activities are making the interactions between energy, business, and information flow among physical, social, and information systems increasingly complex. As the carrier of information and the hub between physical and social systems, the effective management of energy big data has attracted the attention of scholars. This work indicates that China’s energy companies have carried out a series of activities that are centered on energy big data collection, as well as development and exchange, and that the energy big data ecosystem has begun to take shape. However, the research on and the application of energy big data are mainly limited to micro-level fields, and the development of energy big data in China remains disordered because the corresponding macro-level instructive governance frameworks are lacking. In this work, to facilitate the sustainable development of the energy big data ecosystem and to solve existing problems, such as the difficult-to-determine governance boundaries and the difficult-to-coordinate interests, and to analyze the structure and mechanism of the energy big data ecosystem, data curation is introduced into energy big data governance, and a paradigm is constructed for sustainable energy big data curation that encompasses its full life cycle, including the planning, integration, application, and maintenance stages. Key paradigmatic issues are analyzed in-depth, including data rights, fusion, security, and transactions.

Keywords: big data; energy big data governance; energy big data ecosystem; full life cycle curation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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