GreenMetaData: Standardising Environmental Impact Reporting for Computational Research [Online]

          @misc{ scivideos_oai:cds.cern.ch:3025614,
            doi = {},
            url = {https://videos.cern.ch/record/3025614},
            author = {},
            keywords = {},
            language = {en},
            title = {GreenMetaData: Standardising Environmental Impact Reporting for Computational Research [Online]},
            publisher = {},
            year = {2026},
            month = {may},
            note = {oai:cds.cern.ch:3025614 see, \url{https://scivideos.org/cern-cds/3025614}}
          }
          

Abstract

There is a growing need for standardised approaches to report the environmental impacts of computational research. Funders now require such reporting, researchers are increasingly motivated to disclose the impact of their work, and journals lack clear guidelines to support this practice. The Green Algorithms project addresses this need by providing open-source tools to estimate the carbon footprint of computational workflows. Building on this, the GreenMetaData (https://github.com/GreenAlgorithms/GreenMetaData) file format represents a first step towards standardising how environmental impact is reported. It is a machine-readable, transparent, and extensible format that enables researchers to document carbon emissions and other sustainability metrics, along with the methodology used. A companion web-based tool (currently under development) supports users in generating these metadata files. In this talk, we present the GreenMetaData initiative and engage with the research community to refine the format, improve usability, and encourage broader adoption for more sustainable computational science.

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