We are excited to announce the official launch of the KODAQS Data Quality Toolbox, a new open educational resource designed to support researchers in assessing and improving the quality of their data. This innovative platform, developed as part of the KODAQS project at GESIS, provides practical coding examples and use cases of key data, quality indicators as well as expert guidance to help researchers achieve high-quality data.
The Data Quality Toolbox provides resources for several data types, including traditional survey data, digital behavioral data, and integrated datasets. Whether you're calculating key quality indicators or seeking expert support, the Toolbox offers user-friendly, replicable quality assessment tools to guide you throughout your data analysis.
Key features of the Toolbox include:
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Reproducible Code: Pre-built R-scripts to calculate key data quality indicators.
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Guidance: Guided data quality analyses including the interpretation of key indicators and recommendations for further analyses.
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Expert Support: Commented use cases to help you conduct data quality assessments for diverse research interests.
This new platform is part of KODAQS's broader mission to promote data quality awareness and improve the integrity of social science research. We invite all researchers to explore the Toolbox and begin using it to improve quality in their data.
To get started, visit the KODAQS Data Quality Toolbox.