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May 21, 2025Open Access

The AquaINFRA research data infrastructure - Knowledge generation through FAIR open data and reproducible computational workflows

Markus Konkol Kaori Otsu Henning Sten Hansen Sami Domisch Merret Buurman Vanessa Bremerich Astra Labuce Pekka Latvala Juha Oksanen B Grüning

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Key Points

To enhance knowledge generation through the development of a FAIR (Findable, Accessible, Interoperable, Reusable) data infrastructure in the AquaINFRA project.
Developed open data frameworks and standards promoting data sharing.
Implemented reproducible computational workflows to support data analysis.
Conducted preliminary assessments to gauge the effectiveness of the infrastructure.
Demonstrated initial success in making data more accessible and reusable.
Reported improvements in collaboration among environmental scientists through shared data.
Highlighted the need for continued development of computational tools to support these efforts.

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Implication

Poster presents intermediate findings on FAIR open data and workflows for knowledge generation in environmental science.

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Cite This Study

Konkol et al. (2025) studied this question.

synapsesocial.com/papers/698ebf5d85a1ff6a93016c48 https://doi.org/10.23728/b2share.wvsmt-ggs93

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