Metadata Quality for Biobanks

Author:

Shekhovtsov Volodymyr A.ORCID,Eder JohannORCID

Abstract

The mission of biobanks is to provide biological material and data for medical research. Reproducible medical studies of high quality require material and data with established quality. Metadata, defined as data that provides information about other data, represents the content of biobank collections, particularly which data accompanies the stored samples and which quality the available data features. The quality of biobank metadata themselves, however, is currently neither properly defined nor investigated in depth. We list the properties of biobanks that are most important for metadata quality management and emphasize both the role of biobanks as data brokers, which are responsible not for the quality of the data itself but for the quality of its representation, and the importance of supporting the search for biobank collections when the sample data is not accessible. Based on an intensive review of metadata definitions and definitions of quality characteristics, we establish clear definitions of metadata quality attributes and their metrics in a design science approach. In particular, we discuss the quality measures accuracy, completeness, coverage, consistency, timeliness, provenance, reliability, accessibility, and conformance to expectations together with their respective metrics. These definitions are intended as a foundation for establishing metadata quality management systems for biobanks.

Funder

Bundesministerium für Bildung, Wissenschaft und Forschung, Austria

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Data Management in Biobanking: Strategies, Challenges, and Future Directions;BioTech;2024-09-02

2. Data quality assurance practices in research data repositories—A systematic literature review;Journal of the Association for Information Science and Technology;2024-08-07

3. Exploring dimensions of metadata quality assessment: A scoping review;Journal of Librarianship and Information Science;2024-03-24

4. Managing the Quality of Data and Metadata for Biobanks;Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications;2022

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