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bids

Organize, query, validate, and convert neuroscience datasets to BIDS standards.

Updated May 17, 2026
Search Tags:#data validation#neuroscience#data organization#biomedical#bids#dicom conversion
One-click install
npx skills add https://github.com/galeep/plugin-place --skill bids-galeep
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bids
Source: https://github.com/galeep/plugin-place/tree/main/plugins/sci-medical-imaging/skills/bids
Command: npx skills add https://github.com/galeep/plugin-place --skill bids-galeep

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pybids, bids-validator-deno, dcm2bids, heudiconv, dcm2niix, nibabel, pydicom, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps researchers organize, query, and validate neuroscience and biomedical research datasets according to the Brain Imaging Data Structure (BIDS) standards, simplifying data management and sharing.

Core Features & Use Cases

  • BIDS Organization: Structure datasets into BIDS-compliant directory structures.
  • Querying: Retrieve specific files from BIDS datasets based on metadata.
  • Validation: Ensure datasets comply with the BIDS specification.
  • Conversion: Convert DICOM data to BIDS format.
  • Use Case: A researcher with BIDS-compliant MRI data can use this Skill to organize the data, validate its structure, and convert DICOM files to BIDS format for easier sharing and analysis.

Quick Start

Use the bids skill to convert a DICOM directory to BIDS format and validate it.

Frequently Asked Questions about bids

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert DICOM data to BIDS format?▼

DICOM to BIDS format conversion transforms raw imaging data into BIDS-compliant directory structures using tools like dcm2bids, heudiconv, and dcm2niix for easier management and sharing in neuroscience research.

How do I validate a neuroscience dataset against BIDS standards?▼

Validating a neuroscience dataset against BIDS standards checks structural and metadata compliance using bids-validator-deno, ensuring reproducibility and proper data exchange in biomedical research environments.

What is the best way to query specific files in a BIDS dataset?▼

Querying specific files in a BIDS dataset retrieves targeted data based on metadata using pybids, allowing efficient access to neuroimaging files within structured BIDS-compliant hierarchies.

Does organizing biomedical data with BIDS require Python libraries?▼

Organizing biomedical data with BIDS requires Python libraries like pybids, nibabel, and pydicom to parse metadata, handle neuroimaging formats, and structure datasets into reproducible BIDS layouts.

Why does organizing neuroimaging data with BIDS improve reproducibility?▼

Organizing neuroimaging data with BIDS improves reproducibility by enforcing standardized directory structures and metadata schemas, simplifying data validation, exchange, and querying across biomedical research workflows.

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