Gromacs MetaDump: a tool for extracting GROMACS simulation metadata

Area of Science:

• Computational chemistry and biophysics
• Bioinformatics and cheminformatics
• Scientific software development

Background:

• Molecular dynamics (MD) simulation data is rapidly growing but fragmented across repositories.
• Lack of standardized metadata hinders data exploration and reuse.
• Existing methods for metadata extraction are often manual and inconsistent.

Purpose of the Study:

• To introduce GROMACS MetaDump, a tool for automatic metadata extraction from GROMACS MD simulations.
• To standardize and simplify the creation of human- and machine-readable metadata.
• To improve the findability and reusability of MD simulation data in line with FAIR principles.

Main Methods:

• Developed GROMACS MetaDump to process GROMACS output files (.tpr, .top, .gro).
• Leverages native GROMACS metadata (gmx dump) for extraction.
• Provides metadata in structured JSON or YAML formats.
• Offers web application, API service, and command-line utility.

Main Results:

• GROMACS MetaDump captures comprehensive simulation parameters (software version, force field, box geometry, etc.).
• Automated extraction ensures consistent and rich metadata.
• Facilitates unified metadata annotations for GROMACS simulations.

Conclusions:

• GROMACS MetaDump simplifies and standardizes metadata extraction for GROMACS MD simulations.
• The tool enhances data sharing, discovery, and reuse within the research community.
• Supports the FAIR data principles by making simulation datasets indexable and findable.