The eGenVar data management system--cataloguing and sharing sensitive data and metadata for the life sciences

Area of Science:

• Life Sciences
• Bioinformatics
• Data Management

Background:

• Systematic data management and controlled sharing are crucial for research reproducibility and efficiency.
• Storing sensitive data (e.g., from biobanks, clinical studies) in public repositories is often restricted due to legal and privacy concerns.

Purpose of the Study:

• To describe a metadata cataloguing system and software suite for managing and sharing life sciences data.
• To provide a framework for cataloguing both public and private data without centralizing sensitive information.

Main Methods:

• Developed a system storing three types of metadata: file information, file provenance/data lineage, and content descriptions.
• Created a software suite with graphical and command-line interfaces for users to report and tag files with metadata.
• Ensured original data files remain in their existing locations with access controls.

Main Results:

• The system successfully catalogues metadata for life sciences data.
• Users can efficiently report and tag files, enhancing data discoverability.
• The framework supports the cataloguing and sharing of both public and private data.

Conclusions:

• The metadata cataloguing system and software suite offer a common framework for managing and sharing diverse life sciences data.
• This approach facilitates data reproducibility and reduces redundancy while maintaining data privacy and security.
• The system enables efficient location of complementing or contradicting information across distributed datasets.