Enabling Reproducible Data Quality Assessments via Reusable Metadata: Integrating dataquieR with the MDM Portal

Introduction: Data quality can be operationalised as the degree to which observed data conform to requirements derived from the study design or the context of use. As such, high-quality data are essential for obtaining valid research results. Several frameworks and tools are available to guide and conduct [for full text, please go to the a.m. URL]

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Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2025-11-03
DOI
https://doi.org/10.3205/25gmds037
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
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article

Enabling Reproducible Data Quality Assessments via Reusable Metadata: Integrating dataquieR with the MDM Portal

German Medical Science (German Research Foundation)
Research Data Management Practices
article

Enabling Reproducible Data Quality Assessments via Reusable Metadata: Integrating dataquieR with the MDM Portal

article en

Abstract

Introduction: Data quality can be operationalised as the degree to which observed data conform to requirements derived from the study design or the context of use. As such, high-quality data are essential for obtaining valid research results. Several frameworks and tools are available to guide and conduct [for full text, please go to the a.m. URL]

German Medical Science (German Research Foundation)
Heidelberg University (DE), Universitätsmedizin Greifswald (DE), University Hospital Heidelberg (DE)
Openalex Percentile: Top 32%
Research Data Management Practices
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