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imaging-data-commons

Discover and download IDC imaging datasets using idc-index and BigQuery.

48|6|Updated Mar 9, 2026
Search Tags:#imaging#dicom#viewer#clinical-data#idc-index#cloud-download
One-click install
npx skills add https://github.com/qinyan-ai/qinyan-academic-skills --skill imaging-data-commons-qinyan-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: imaging-data-commons
Source: https://github.com/qinyan-ai/qinyan-academic-skills/tree/main/skills/07-%E4%B8%B4%E5%BA%8A%E5%8C%BB%E5%AD%A6%E4%B8%8E%E7%B2%BE%E5%87%86%E5%8C%BB%E7%96%97/imaging-data-commons
Command: npx skills add https://github.com/qinyan-ai/qinyan-academic-skills --skill imaging-data-commons-qinyan-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

The Imaging Data Commons (IDC) data ecosystem can be difficult to discover and access at scale. This Skill streamlines discovery, querying, and download of IDC imaging datasets using idc-index, and provides guidance for licensing and cross-dataset workflows.

Core Features & Use Cases

  • Discover IDC imaging collections with idc-index and fetch core metadata
  • Download DICOM series from IDC cloud storage with organized dir templates
  • Visualize data in-browser via viewer URLs and link with clinical data
  • Manage licenses and generate citations for attribution
  • Use BigQuery for advanced metadata exploration and cross-collection analysis

Quick Start

Identify a CT chest dataset in IDC using idc-index, then open a viewer URL to preview series.

Frequently Asked Questions about imaging-data-commons

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

FAQPage Schema
How do I download DICOM series from the Imaging Data Commons cloud storage?▼

Download DICOM series from IDC cloud storage by using the idc-index tool to query metadata and fetch files, organizing them into structured local directory templates for reproducible research workflows.

Can I query IDC imaging metadata using BigQuery for cross-collection analysis?▼

Yes, you can use BigQuery for advanced metadata exploration of IDC imaging datasets, enabling complex cross-collection queries and linking imaging data with clinical data for comprehensive analysis.

What is the best way to visualize IDC imaging data in a browser?▼

Visualize IDC imaging data in-browser by generating viewer URLs through idc-index, allowing you to preview DICOM series directly without downloading files and facilitating quick clinical data linkage.

How do I manage licensing and generate citations for downloaded IDC datasets?▼

Manage IDC dataset licensing and generate citations by following attribution guidance provided during the discovery phase, ensuring proper credit for downloaded DICOM series used in reproducible research.

Does idc-index support linking clinical data with imaging collections?▼

Yes, idc-index supports clinical data integration by fetching core metadata that links IDC imaging collections with clinical records, streamlining cross-dataset workflows for comprehensive analysis.

What are the limitations of using idc-index for IDC data discovery?▼

idc-index focuses on querying, downloading, and visualizing IDC imaging datasets; advanced analytics beyond metadata exploration require external tools like BigQuery for cross-collection reproducible research workflows.

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