4.6 Article

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

Journal

SUSTAINABILITY
Volume 14, Issue 10, Pages -

Publisher

MDPI
DOI: 10.3390/su14106013

Keywords

big data; energy big data governance; energy big data ecosystem; full life cycle curation

Funding

  1. Major Program of the National Social Science Fund of China [19ZDA081]

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With the development of the Energy Internet and the Internet of Things, the application of energy big data in China still faces challenges and requires the establishment of a more comprehensive governance framework. To address these issues, this work introduces the concept of data curation and constructs a paradigm for sustainable energy big data curation, analyzing key issues in depth.
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.

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