About DQ-Kit

DQ-Kit aims to provide thorough data quality checks for scientific data publication and reuse, at the BonaRes Repository at ZALF and beyond. As of version 2.0, DQ-Kit is an open-source project, and we welcome contributions to the app's further development. For more details, see here

The current release focuses on explorative statistics and data quality alerts, with future versions planned for metadata generation and plausibility checks for agricultural and soil science data. Following the "Fit for Use" principle, DQ-Kit does not rate datasets but helps data authors to cross-check their data and enables re-users to find datasets matching their needs.

When data is uploaded, DQ-Kit generates a report that includes an overview of the dataset, summary statistics for each variable, illustrations of variable associations, patterns of missing data, and alerts for potential quality issues with variables, such as skewness, missing data, and collinearity.

For additional details, including the formatting requirements, please refer to the FAQ .

We will be regularly updating DQ-Kit's functionality. Please check back often for new releases.

If you have questions, comments, encounter errors while executing DQ-Kit, or want to contribute to its development, please don't hesitate to contact us.

Contact: dis@zalf.de

Responsible: Dr. Xenia Specka, Dr. Viet Hoang Nguyen, Igo Silva de Almeida, Dr. Susanne Lachmuth, Dr. Carsten Hoffmann
Version

Version 2.0
Published: 17.01.2025


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