TraceBase; A database structure for forensic trace analysis.

Area of Science:

• Forensic Science
• Database Management
• Information Technology

Background:

• Forensic investigations generate diverse data from multiple disciplines and instruments.
• Current data management systems may lack flexibility for integrating heterogeneous forensic information.
• Standardization is needed for efficient storage and retrieval of forensic evidence data.

Purpose of the Study:

• To propose and describe TraceBase, a novel data structure for forensic data.
• To detail the design and planned implementation of TraceBase in casework.
• To ensure congruent data storage aligned with laboratory forensic examination processes.

Main Methods:

• Development of a PostgreSQL-based back-end for robust and flexible data storage.
• Integration with front-end applications like LibreOffice for user-friendly data access.
• Implementation of a modular structure for optimized data entry, processing, and reporting.
• Design allowing data from multiple sources, disciplines, and analytical techniques.

Main Results:

• TraceBase facilitates the storage of relations between items, samples, and analyses.
• The system supports the individual optimization of data entry, processing, and reporting.
• Additional analyses can be linked to existing items or samples.
• Data retrieval allows filtering for specific subcollections relevant to casework.

Conclusions:

• TraceBase offers a flexible and robust solution for managing complex forensic data.
• The proposed data structure supports multi-disciplinary forensic casework and diverse analytical techniques.
• TraceBase enhances data accessibility and usability for forensic experts in laboratory settings.