Data Management in Biobanking: Strategies, Challenges, and Future Directions
Author:
Alkhatib Ramez12ORCID, Gaede Karoline I.123ORCID
Affiliation:
1. Biomaterial Bank Nord, Research Center Borstel Leibniz Lung Center, Parkallee 35, 23845 Borstel, Germany 2. German Centre for Lung Research (DZL), Airway Research Centre North (ARCN), 22927 Großhansdorf, Germany 3. PopGen 2.0 Biobanking Network (P2N), University Hospital Schleswig-Holstein, Campus Kiel, Kiel University, 24105 Kiel, Germany
Abstract
Biobanking plays a pivotal role in biomedical research by providing standardized processing, precise storing, and management of biological sample collections along with the associated data. Effective data management is a prerequisite to ensure the integrity, quality, and accessibility of these resources. This review provides a current landscape of data management in biobanking, discussing key challenges, existing strategies, and potential future directions. We explore multiple aspects of data management, including data collection, storage, curation, sharing, and ethical considerations. By examining the evolving technologies and methodologies in biobanking, we aim to provide insights into addressing the complexities and maximizing the utility of biobank data for research and clinical applications.
Funder
BioMaterialBank North German Center for Lung Research
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