Master data

Title: Metadata Quality for Biobanks
Subtitle:
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.

Keywords: metadata; data quality; biobank; quality metrics
Publication type: Article in journal (Authorship)
Publication date: 23.09.2022 (Online)
Published by: Applied Sciences
Applied Sciences
to publication
 ( MDPI Publishing; T. Kobayashi )
Title of the series: Computing and Artificial Intelligence
Volume number: 12
Issue: 19
First publication: Yes
Version: -
Page: -

Versionen

Keine Version vorhanden
Publication date: 23.09.2022
ISBN (e-book): -
eISSN: 2076-3417
DOI: http://dx.doi.org/10.3390/app12199578
Homepage: https://www.mdpi.com/2076-3417/12/19/9578578
Open access
  • Available online (open access)
Publication date: 01.10.2022
ISBN: -
ISSN: 2076-3417
Homepage: https://www.mdpi.com/2076-3417/12/19/9578

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Informatik-Systeme
Universitätsstr. 65-67
A-9020 Klagenfurt
Austria
  -993503
   kerstin.smounig@aau.at
https://www.aau.at/isys/
To organisation
Universitätsstr. 65-67
AT - A-9020  Klagenfurt

Categorisation

Subject areas
  • 102004 - Bioinformatics
  • 102010 - Database systems
  • 102014 - Information design
  • 102015 - Information systems
  • 102020 - Medical informatics
Research Cluster No research Research Cluster selected
Citation index
  • Science Citation Index Expanded (SCI Expanded)
Information about the citation index: Master Journal List
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: II)
Classification raster of the assigned organisational units:
working groups
  • Information and Communication Systems (ICS)

Cooperations

No partner organisations selected

Articles of the publication

No related publications