bids

Organize neuroscience datasets into BIDS-compliant directory structures.

22|4|Updated May 25, 2026
One-click install
npx skills add https://github.com/crazymsn/academic-skills --skill bids-crazymsn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bids
Source: https://github.com/crazymsn/academic-skills/tree/main/academic-skills/bids
Command: npx skills add https://github.com/crazymsn/academic-skills --skill bids-crazymsn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Brain Imaging Data Structure (BIDS) standardizes the organization, description, and sharing of neuroscience data, reducing ambiguity and enabling automated tooling across studies.

Core Features & Use Cases

  • Organize raw neuroscience data into BIDS-compliant directory structures (anat, func, dwi, fmap, etc.).
  • Validate datasets against the BIDS specification using the bids-validator and catch common metadata gaps.
  • Generate and manage BIDS metadata sidecars (dataset_description.json, participants.json) and prepare derivatives scaffolds for pipelines like fMRIPrep or MRIQC.
  • Support DICOM-to-BIDS conversion workflows (HeuDiConv, dcm2bids, BIDScoin) with provenance tracking and improved reproducibility.

Quick Start

Run the BIDS workflow on your dataset to produce a fully BIDS-compliant directory ready for sharing and analysis.

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 a BIDS dataset?

To convert DICOM data to a BIDS dataset, you can use conversion workflows like HeuDiConv, dcm2bids, or BIDScoin to organize raw neuroimaging files into BIDS-compliant directory structures with provenance tracking.

What is BIDS validation and why do I need it for neuroimaging data?

BIDS validation checks your neuroscience datasets against the BIDS specification to catch common metadata gaps, ensuring standardized organization, reducing ambiguity, and enabling automated tooling across studies for reproducible data sharing.

Can I organize EEG and PET data into BIDS structures, or is it only for MRI?

You can organize EEG and PET data into BIDS structures alongside MRI. The BIDS standard applies across these related modalities, enabling consistent directory organization, metadata inheritance, and dataset validation for diverse neuroscience data.

How do I prepare BIDS derivatives scaffolds for fMRIPrep pipelines?

To prepare BIDS derivatives scaffolds for pipelines like fMRIPrep, generate BIDS metadata sidecars such as dataset_description.json and participants.json, ensuring your organized dataset meets the structural requirements for automated analysis workflows.

What's the best way to manage BIDS metadata sidecars for reproducible studies?

The best way to manage BIDS metadata sidecars is to organize raw data into BIDS-compliant directories and validate against the BIDS schema, utilizing metadata inheritance to maintain consistent dataset_description.json and participants.json files.