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

Area of Science:

• Biomedical research
• Biobanking
• Data science

Background:

• Preanalytical factors critically influence biomolecule stability in biospecimens.
• This variability impacts the reliability of biomedical research and diagnostics.
• Centralizing data on pre-analytical influences is essential for improving research quality.

Purpose of the Study:

• To develop ProvideQ, a web-based platform for accessing research findings on pre-analytical variability and biospecimen quality.
• To create a centralized resource for researchers and diagnosticians.
• To enhance the standardization and quality of biospecimen data.

Main Methods:

• Developed a web-based platform, ProvideQ, building on an initial prototype.
• Implemented a validated criteria catalog for data quality assessment.
• Integrated SPREC 4.0 for standardized coding of pre-analytical variables.
• Enhanced the user interface based on usability testing feedback.

Main Results:

• Created an improved data model for organizing pre-analytical information.
• Developed a Python-based module for efficient literature import.
• Built an intuitive frontend using Next.js and React for user accessibility.
• Established a search system capable of handling incomplete user inputs.

Conclusions:

• ProvideQ facilitates both analyte- and sample-centric searches, proving valuable for biobanking and research.
• The platform supports improved data quality and accessibility in biospecimen research.
• Future work includes database expansion and AI-driven analytics for automated research import.