Faculty, Staff and Student Publications

Language

English

Publication Date

1-1-2024

Journal

AMIA 2026 Annual Symposium

PMID

41726486

PMCID

PMC12919532

PubMedCentral® Posted Date

2-14-2026

PubMedCentral® Full Text Version

Post-print

Abstract

Provenance tracking ensures data integrity, security, and accountability in healthcare and biomedical research. As biomedical data grows in complexity, comprehensive tracking mechanisms are needed to maintain reproducibility, transparency, and compliance with regulatory standards, such as GDPR. Traditional log-based and ontology-based approaches capture and standardize data lineage, while cryptographic and blockchain-based methods enhance security and verifiability. However, challenges remain in scalability, security, and usability. To address these, we introduce the Resource-Provenance Visualization Engine (RPVE), an advanced system integrating data lineage tracking and interactive visualization. RPVE employs the Randomized N-gram Hashing Identifier (NHash ID) to establish precise data links within the BRAIN Initiative Cell Atlas Network (BICAN) and features an interactive Sankey visualization engine for seamless data exploration. The system enhances provenance tracking by improving data retrieval efficiency, ensuring reliable verification processes, and maintaining data integrity.

Keywords

Humans, Computer Security, Information Storage and Retrieval, Databases, Factual, Brain, Database Management Systems

Published Open-Access

yes

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