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Guidelines for Documenting Data Quality Slide deck | Synapse

March 21, 2026Open Access

Guidelines for Documenting Data Quality Slide deck

Puntos clave

The aim is to establish guidelines for effective data quality documentation.
Introduced metadata and study-level documentation techniques.
Outlined the creation of codebooks and variable reports.
Discussed the application of AI assistants in line with FAIR principles.
Presented comprehensive strategies for improving data quality documentation.
Emphasized the importance of adhering to FAIR principles in documentation.

Resumen

This presentation provides guidelines for documenting data quality (metadata, study-level documentation, creation of codebooks, and variable reports). It introduces how to use AI assistants for data documentation in line with the FAIR principles. This presentation is the sixth part of a set of presentations on the topic of "Indicators & Metrics of Data Quality". Presentation available after free registration: https://elearning.gesis.org/course/section.php?id=1213

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Cite This Study

Alexander Jedinger (Wed,) studied this question.

synapsesocial.com/papers/69be37aa6e48c4981c677786 https://doi.org/https://doi.org/10.5281/zenodo.18936075