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

Author

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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)

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.

Suggested Citation

  • Ming Zeng & Yanbin Xu & Haoyu Wu & Jiaxin Ma & Jianwei Gao, 2022. "Sustainable Insights for Energy Big Data Governance in China: Full Life Cycle Curation from the Ecosystem Perspective," Sustainability, MDPI, vol. 14(10), pages 1-30, May.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:6013-:d:816320
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    References listed on IDEAS

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    1. Peter T. Darch & Ashley E. Sands & Christine L. Borgman & Milena S. Golshan, 2020. "Library cultures of data curation: Adventures in astronomy," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(12), pages 1470-1483, December.
    2. Besiki Stvilia & Charles C. Hinnant & Shuheng Wu & Adam Worrall & Dong Joon Lee & Kathleen Burnett & Gary Burnett & Michelle M. Kazmer & Paul F. Marty, 2015. "Research project tasks, data, and perceptions of data quality in a condensed matter physics community," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(2), pages 246-263, February.
    3. Yannis Bakos & Erik Brynjolfsson, 1999. "Bundling Information Goods: Pricing, Profits, and Efficiency," Management Science, INFORMS, vol. 45(12), pages 1613-1630, December.
    4. Nestor Duch-Brown & Bertin Martens & Frank Mueller-Langer, 2017. "The economics of ownership, access and trade in digital data," JRC Working Papers on Digital Economy 2017-01, Joint Research Centre.
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    1. Xiaomeng Zhang & Wei Wang & Wenmeng Yu & Dajun Shen & Tingting Zhang, 2023. "River Chief Information-Sharing System as a River Information Governance Approach in China," Sustainability, MDPI, vol. 15(8), pages 1-20, April.

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