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EGU Award Ceremony (Credit: EGU/Foto Pfluegl)

Division Outstanding Early Career Scientist Awards 2025 Marthe Klöcking

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European Geosciences Union

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Marthe Klöcking

Marthe Klöcking
Marthe Klöcking

ESSI Earth and Space Science Informatics

The 2025 Division Outstanding Early Career Scientist Award is awarded to Marthe Klöcking for contributions to advancing Open Data in the Earth Sciences.

Marthe Klöcking is a champion of Open Access to Data in geochemistry with internationally recognised contributions to advancing Open Access to Data and the Guidance Principles on Findable, Accessible, Interoperable and Reusable Data (FAIR Data). Marthe Klöcking has established herself as a leader in international collaborations and initiatives to develop and promote geochemical data and metadata standards, identifying and addressing technical and cultural challenges. As coordinator of the GEOROC 2.0 geochemical database and a leading participant in the EU Horizon WorldFAIR project, Marthe Klöcking's work demonstrated how advanced informatics techniques can be used to accelerate FAIR and Open compliance of geochemical data and laid the foundation for enabling cross-domain interoperability of geochemical data with that of other research disciplines.

Marthe Klöcking’s achievements in the field of Open Access to geochemical data are documented and communicated through many publications, among them the “Community Recommendations for Geochemical Data, services and Analytical Capabilities in the 21st Century”, which was co-authored by an international group of 20 geochemists and data experts, published in 2023 in a highly respected journal, and the chapter on geochemical databases in the latest edition of the “Treatise on Geochemistry”.

The EGU Earth and Space Science Informatics (ESSI) Division Outstanding Early Career Scientist Award is given to Marthe Klöcking for her remarkable achievements, scientific excellence, innovative research, and significant contributions to the ESSI community, including her exceptional research accomplishments, demonstrated leadership, commitment to collaboration and knowledge-sharing, passion for advancing data-driven research, and ability to bridge gaps between scientific disciplines.