Higginson, Sarah; Jones, Catherine; Topouzi, Marina; Huebner, Gesche; Fell, MJ; (2024) Data Synergy in times of crisis. In: Proceeding of the eceee Summer Study on Energy Efficiency. (pp. pp. 497-507). European Council for an Energy Efficient Economy

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Abstract

We face multiple, interlinking crises, all of which require the collection and sharing of quality data to understand them. Sharing data is good practice for responsible research and often a funder requirement. However, many projects still fail to deliver on the FAIR data sharing principles (that data be Findable, Accessible, Interoperable, Reusable). Whether qualitative or quantitative, high quality data collection, management and analysis is a crucial foundation for excellent, socially relevant research, particularly when it is interdisciplinary and the assumptions underpinning single disciplinary ontologies and methodologies might be contested. Energy research produces interesting, specific data challenges: 1) the prevalence of large-scale consortia means many institutions are involved; 2) the multi-disciplinary approach favoured in such consortia results in a wide variety of domain standards and expectations; 3) as an applied area of study, energy researchers often collaborate with commercial partners, who may restrict data sharing. Building on the authors’ experiences of data management in RealValue, an H2020 project, and two UK-based consortia, the Centre for Research into Energy Demand Solutions (CREDS) and UK Energy Research Centre (UKERC), plus learning from a recent expert workshop of research system stakeholders, this paper will explore the concept of ‘data synergy’. Data synergy, a term coined during RealValue, describes data from multiple stakeholders, sources or disciplines that, when combined, are more valuable than any of the sources on their own. It has four dimensions – resources/ time, people, methods/ metrics, and technology – and considers data collection, sharing and management a socio-technical process that balances these dimensions. The aim of this paper is to elucidate a set of principles and processes that will guide the international energy community moving forward, ensuring we are able to meet future challenges quickly based on FAIR data, whatever the project focus or methodology.

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