ProvideQ: A Web-Based Knowledge Platform for Assessing Preanalytical Influences on Biomolecules in Biospecimens.

Sven Bichtemann, Oliver Johannes Bott, Johanna Apfel-Starke, Vicky Scholz, Thomas Illig, Sara Haag
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引用次数: 0

Abstract

Introduction: Preanalytical factors significantly impact the stability of biomolecules in biospecimens, affecting the reliability of biomedical research and diagnostics. This paper presents the development of ProvideQ (Database for pre-analytical variability and biospecimen quality), a web-based platform designed to centralize access to research findings on these influences.

Methods: Building on an initial prototype, we implemented a validated criteria catalog for data quality, an efficient search system handling incomplete inputs, and SPREC 4.0 integration for standardized coding of preanalytical variables. User feedback from usability tests enhanced the platform's interface.

Results: Results include an improved data model, a Python-based literature import module, and an intuitive frontend using Next.js and React.

Conclusion: ProvideQ supports analyte- and sample-centric searches, demonstrating its potential as a valuable tool in biobanking and research. Future enhancements include expanding the database and integrating AI-driven analytics of scientific publications on pre-analytical factors to facilitate the import of research results into the platform.

ProvideQ:一个基于网络的知识平台,用于评估生物标本中生物分子的分析前影响。
分析前因素显著影响生物标本中生物分子的稳定性,影响生物医学研究和诊断的可靠性。本文介绍了ProvideQ(分析前变异性和生物标本质量数据库)的开发,这是一个基于网络的平台,旨在集中访问这些影响的研究结果。方法:在初始原型的基础上,我们实现了一个经过验证的数据质量标准目录,一个处理不完整输入的高效搜索系统,以及用于分析前变量标准化编码的SPREC 4.0集成。来自可用性测试的用户反馈增强了平台的界面。结果:结果包括改进的数据模型,基于python的文献导入模块,以及使用Next.js和React的直观前端。结论:ProvideQ支持以分析物和样品为中心的搜索,显示了其作为生物银行和研究中有价值的工具的潜力。未来的增强功能包括扩展数据库,并将人工智能驱动的科学出版物分析整合到分析前因素中,以促进研究成果导入平台。
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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