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基于云的生物样本和生物样本库数据管理工具的现状。

The State of Cloud-Based Biospecimen and Biobank Data Management Tools.

作者信息

Paul Shonali, Gade Aditi, Mallipeddi Sumani

机构信息

CloudLIMS.com , Wilmington, Delaware.

出版信息

Biopreserv Biobank. 2017 Apr;15(2):169-172. doi: 10.1089/bio.2017.0019. Epub 2017 Mar 16.

DOI:10.1089/bio.2017.0019
PMID:28300421
Abstract

Biobanks are critical for collecting and managing high-quality biospecimens from donors with appropriate clinical annotation. The high-quality human biospecimens and associated data are required to better understand disease processes. Therefore, biobanks have become an important and essential resource for healthcare research and drug discovery. However, collecting and managing huge volumes of data (biospecimens and associated clinical data) necessitate that biobanks use appropriate data management solutions that can keep pace with the ever-changing requirements of research. To automate biobank data management, biobanks have been investing in traditional Laboratory Information Management Systems (LIMS). However, there are a myriad of challenges faced by biobanks in acquiring traditional LIMS. Traditional LIMS are cost-intensive and often lack the flexibility to accommodate changes in data sources and workflows. Cloud technology is emerging as an alternative that provides the opportunity to small and medium-sized biobanks to automate their operations in a cost-effective manner, even without IT personnel. Cloud-based solutions offer the advantage of heightened security, rapid scalability, dynamic allocation of services, and can facilitate collaboration between different research groups by using a shared environment on a "pay-as-you-go" basis. The benefits offered by cloud technology have resulted in the development of cloud-based data management solutions as an alternative to traditional on-premise software. After evaluating the advantages offered by cloud technology, several biobanks have started adopting cloud-based tools. Cloud-based tools provide biobanks with easy access to biospecimen data for real-time sharing with clinicians. Another major benefit realized by biobanks by implementing cloud-based applications is unlimited data storage on the cloud and automatic backups for protecting any data loss in the face of natural calamities.

摘要

生物样本库对于从捐赠者那里收集和管理高质量生物样本以及进行适当的临床注释至关重要。高质量的人类生物样本和相关数据对于更好地理解疾病过程是必不可少的。因此,生物样本库已成为医疗保健研究和药物研发的重要且必要的资源。然而,收集和管理大量数据(生物样本和相关临床数据)要求生物样本库使用能够跟上不断变化的研究需求的适当数据管理解决方案。为了实现生物样本库数据管理的自动化,生物样本库一直在投资传统的实验室信息管理系统(LIMS)。然而,生物样本库在获取传统LIMS时面临着众多挑战。传统LIMS成本高昂,而且往往缺乏适应数据源和工作流程变化的灵活性。云技术正在兴起,为中小型生物样本库提供了以具有成本效益的方式实现其运营自动化的机会,甚至无需信息技术人员。基于云的解决方案具有安全性更高、可快速扩展、服务动态分配的优势,并且可以通过“按需付费”的共享环境促进不同研究小组之间的协作。云技术带来的好处促使了基于云的数据管理解决方案的开发,以替代传统的本地软件。在评估了云技术的优势之后,一些生物样本库已经开始采用基于云的工具。基于云的工具使生物样本库能够轻松访问生物样本数据,以便与临床医生进行实时共享。生物样本库通过实施基于云的应用程序实现的另一个主要好处是在云上无限的数据存储以及自动备份,以防止在自然灾害面前出现任何数据丢失。

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