AutoFAIR

AutoFAIR automates the assessment of bioinformatics tools, datasets, and workflows against the FAIR (Findability, Accessibility, Interoperability, Reusability) criteria to quantify FAIRness and support reproducible resource discovery.

Key Features:

• Semi-automated scoring: Applies a semi-automated assessment workflow to evaluate FAIR criteria for bioinformatics resources.
• Internet evidence collection: Leverages internet searches to gather evidence and metadata used to generate FAIR scores.
• FAIR score generation: Produces quantitative FAIR scores for tools, datasets, and workflows.
• User-supplied amendments: Accepts user-provided information to fill properties not captured automatically during assessment.
• Workflow-level assessment: Extends assessments to workflows to indicate the FAIRness of resources used in scientific studies.
• Metadata and report storage: Stores metadata about bioinformatics tools and datasets and generates comprehensive assessment reports.
• Benchmarking with FAIRshake: Compares assessments with FAIRshake outputs to evaluate concordance with an established benchmark.

Scientific Applications:

• Tool and dataset FAIR evaluation: Quantifies the FAIRness of individual bioinformatics tools and datasets.
• Workflow FAIR assessment: Assesses the collective FAIRness of resources within scientific workflows.
• Metadata repository: Serves as a repository for storing metadata and assessment reports for bioinformatics resources.
• Benchmarking FAIR compliance: Enables comparison of FAIR assessments against FAIRshake to benchmark compliance.
• Resource discovery and reuse: Supports identification and reuse of resources by providing FAIRness indicators.

Methodology:

Performs internet searches to collect evidence, applies a semi-automated scoring procedure to compute FAIR scores, accepts user-supplied amendments for missing properties, and compares results to FAIRshake assessments.