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

IF 2.7 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
BioTech Pub Date : 2024-09-02 DOI:10.3390/biotech13030034
Ramez Alkhatib, Karoline I Gaede
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引用次数: 0

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.

生物库数据管理:战略、挑战和未来方向。
生物库在生物医学研究中发挥着举足轻重的作用,它提供标准化处理、精确存储和管理生物样本收集及相关数据。有效的数据管理是确保这些资源的完整性、质量和可访问性的先决条件。本综述介绍了生物库数据管理的现状,讨论了主要挑战、现有策略和潜在的未来方向。我们探讨了数据管理的多个方面,包括数据收集、存储、整理、共享和伦理考虑。通过研究生物库中不断发展的技术和方法,我们旨在为解决生物库数据在研究和临床应用中的复杂性并最大限度地发挥其效用提供真知灼见。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BioTech
BioTech Immunology and Microbiology-Applied Microbiology and Biotechnology
CiteScore
3.70
自引率
0.00%
发文量
51
审稿时长
11 weeks
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