Data Management in Biobanking: Strategies, Challenges, and Future Directions

BioTech (Basel). 2024 Sep 2;13(3):34. doi: 10.3390/biotech13030034.

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.

Keywords: biobanking; data governance; data integration; data management; data privacy; data quality; data sharing; data standardization; ethics in biobanking.

Publication types

  • Review

Grants and funding

The BioMaterialBank North is supported by the German Center for Lung Research (DZL; funding number: 82 DZL 001C1).