Imaging Data Commons

---
name: imaging-data-commons
description: Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index. Use for accessing large-scale radiology (CT, MR, PET) and pathology datasets for AI training or research. No authentication required. Query by metadata, visualize in browser, check licenses.
license: This skill is provided under the MIT License. IDC data itself has individual licensing (mostly CC-BY, some CC-NC) that must be respected when using the data.
metadata: {"version": "1.1", "source-skill-version": "1.4.0", "skill-author": "Andrey Fedorov, @fedorov", "idc-index": "0.11.14", "idc-data-version": "v23", "repository": "https://github.com/ImagingDataCommons/idc-claude-skill"}
---

# Imaging Data Commons

## Overview

Use the `idc-index` Python package to query and download public cancer imaging data from the National Cancer Institute Imaging Data Commons (IDC). No authentication required for data access.

**Current IDC Data Version: v23** (always verify with `IDCClient().get_idc_version()`)

**Primary tool:** `idc-index` ([GitHub](https://github.com/imagingdatacommons/idc-index))

**CRITICAL - Check package version and upgrade if needed (run this FIRST):**

```python
import idc_index

REQUIRED_VERSION = "0.11.14"  # Must match metadata.idc-index in this file
installed = idc_index.__version__
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