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

Year: 2025

Type: conference-paper

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]

Source: German Medical Science (German Research Foundation)

DOI: 10.3205/25gmds037

Authors: Struckmann, Stephan, Henke, Jörg, Seelinger, Celina, Blumenstock, Max, Dugas, Martin, Salogni, Elena, Kasbohm, Elisa, Schmidt, Carsten Oliver

Institutions: Universitätsmedizin Greifswald, University Hospital Heidelberg

Language: English

Topic: Research Data Management Practices

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Deutsche Forschungsgemeinschaft

Awards: G3214481756, G3806456426, NFDI4Health – Nationale Forschungsdateninfrastruktur für personenbezogene Gesundheitsdaten

OpenAlex ID: W7103888914

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