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FAIR Metadata Standards for Low Carbon Energy Research—A Review of Practices and How to Advance

Authors: August Wierling; Valeria Jana Schwanitz; Sebnem Altinci; Maria Bałazińska; Michael J. Barber; Mehmet Efe Biresselioglu; Christopher Burger-Scheidlin; +26 Authors

FAIR Metadata Standards for Low Carbon Energy Research—A Review of Practices and How to Advance

Abstract

The principles of Findability, Accessibility, Interoperability, and Reusability (FAIR) have been put forward to guide optimal sharing of data. The potential for industrial and social innovation is vast. Domain-specific metadata standards are crucial in this context, but are widely missing in the energy sector. This report provides a collaborative response from the low carbon energy research community for addressing the necessity of advancing FAIR metadata standards. We review and test existing metadata practices in the domain based on a series of community workshops. We reflect the perspectives of energy data stakeholders. The outcome is reported in terms of challenges and elicits recommendations for advancing FAIR metadata standards in the energy domain across a broad spectrum of stakeholders.

Countries
Germany, Norway, Denmark, Norway, Italy, Germany
Keywords

690, ddc:004, Technology, /dk/atira/pure/sustainabledevelopmentgoals/industry_innovation_and_infrastructure; name=SDG 9 - Industry, Innovation, and Infrastructure, energy metadata, /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy; name=SDG 7 - Affordable and Clean Energy, Data standards, Faculty of Science, /dk/atira/pure/core/keywords/TheFacultyOfScience, Energy metadata, Energy transition, low carbon energy research, 020, FAIR data, T, DATA processing & computer science, metadata, Low carbon energy research, 004, energy transition, /dk/atira/pure/core/keywords/TheFacultyOfScience; name=Faculty of Science, data standards, info:eu-repo/classification/ddc/004, energy

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    10
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Top 10%
Green
gold