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title: "BigQuery Guide for IDC"
task: ""
lineage_type: import
upstream_source: https://github.com/K-Dense-AI/scientific-agent-skills/blob/9c9bd2e9/skills/imaging-data-commons/references/bigquery_guide.md
upstream_sha: 9c9bd2e9
imported_at: 2026-06-27
upstream_source: https://github.com/K-Dense-AI/scientific-agent-skills/blob/d661d27e/skills/imaging-data-commons/references/bigquery_guide.md
upstream_sha: d661d27e
imported_at: 2026-08-11
prompt_class: prompt
upstream_changes: accepted
author: upstream
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# BigQuery Guide for IDC
**Tested with:** IDC data version v23
**Tested with:** `bigquery-public-data.idc_current` and idc-index 0.12.5 (IDC data version v24)
For most queries and downloads, use `idc-index` (see main SKILL.md). This guide covers BigQuery for advanced use cases requiring full DICOM metadata or complex joins.
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- [Part 15 Appendix E - De-identification Profiles](https://dicom.nema.org/medical/dicom/current/output/chtml/part15/chapter_e.html)
**Community Resources:**
- [NAMIC Wiki: DWI/DTI DICOM](https://www.na-mic.org/wiki/NAMIC_Wiki:DTI:DICOM_for_DWI_and_DTI) - comprehensive vendor comparison for diffusion imaging
- [NAMIC Wiki: DWI/DTI DICOM](https://web.archive.org/web/20260520044207/https://www.na-mic.org/wiki/NAMIC_Wiki:DTI:DICOM_for_DWI_and_DTI) - comprehensive vendor comparison for diffusion imaging (archived; original NA-MIC wiki retired)
- [StandardizeBValue](https://github.com/nslay/StandardizeBValue) - tool to extract vendor b-values to standard tags
## Using Query Results with idc-index
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from idc_index import IDCClient
# Initialize BigQuery client
# Requires: pip install google-cloud-bigquery
# Requires: the Python google-cloud-bigquery package
# Auth: gcloud auth application-default login
# Project: needed for billing even on public datasets (free tier applies)
bq_client = bigquery.Client(project="your-gcp-project-id")