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Relational Database-Based Resource-Provenance Visualization Engine: with an application to BICAN data.

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Summary
This summary is machine-generated.

Provenance tracking in biomedical research ensures data integrity. The Resource-Provenance Visualization Engine (RPVE) enhances this with interactive visualization and precise data linking for better data exploration and verification.

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Area of Science:

  • Biomedical informatics
  • Data science
  • Scientific reproducibility

Background:

  • Data integrity, security, and accountability are crucial in healthcare and biomedical research.
  • Increasing data complexity necessitates robust tracking for reproducibility, transparency, and regulatory compliance (e.g., GDPR).
  • Existing provenance tracking methods (log-based, ontology-based, cryptographic, blockchain) face challenges in scalability, security, and usability.

Purpose of the Study:

  • To introduce an advanced system, the Resource-Provenance Visualization Engine (RPVE), for integrated data lineage tracking and interactive visualization.
  • To address limitations in current provenance tracking systems.
  • To enhance data integrity, retrieval efficiency, and verification processes in biomedical research.

Main Methods:

  • Development of the Resource-Provenance Visualization Engine (RPVE).
  • Implementation of Randomized N-gram Hashing Identifier (NHash ID) for precise data link establishment.
  • Integration of an interactive Sankey visualization engine for data exploration within the BRAIN Initiative Cell Atlas Network (BICAN).

Main Results:

  • RPVE successfully integrates data lineage tracking with interactive visualization.
  • NHash ID enables precise data linkage within the BICAN.
  • The Sankey visualization facilitates seamless data exploration and understanding of data lineage.

Conclusions:

  • RPVE enhances provenance tracking by improving data retrieval efficiency and verification reliability.
  • The system contributes to maintaining data integrity and transparency in complex biomedical datasets.
  • RPVE offers a scalable and usable solution for advanced provenance tracking in research environments.