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Collaborative efforts for high-quality research data: Workshop on data quality in agricultural science

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14.10.2024

Workshop participants and organizers

The BonaRes Repository and the FAIRagro Consortium hosted the workshop "Data Quality Tools and Use Cases in Agricultural Sciences" at ZALF on September 24th and 25th 2024.

The evaluation of data quality (DQ) is crucial for assessing the suitability of a dataset for scientific applications and promotes the reuse of research data. To support research data management in agricultural and soil sciences, various institutions are currently developing digital tools for assessing data quality.

Participants presented the current development status of community-developed DQ tools and concrete use cases. Subsequently, interactive sessions explored the DQ metadata these tools can generate for various applications and identified remaining challenges.


BonaRes Repositorium: www.bonares.de/research-data

FAIRagro: https://fairagro.net/


This text was created with the help of artificial intelligence and then carefully checked and revised from the perspective of the AI regulations at ZALF.

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