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GITBOOK-402: change request with no subject merged in GitBook
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SUMMARY.md

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* [Colab notebooks](cookbook/notebooks.md)
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* [BigQuery](cookbook/bigquery.md)
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* [Data Studio](cookbook/data-studio/README.md)
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* [Looker dashboards](cookbook/data-studio/README.md)
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* [Dashboard for your cohort](cookbook/data-studio/cohort-dashboard.md)
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* [More dashboard examples](cookbook/data-studio/more-dashboard-examples.md)
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* [ACCESS allocations](cookbook/access-allocations.md)

cookbook/data-studio/cohort-dashboard.md

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---
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description: >-
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Use IDC-provided DataStudio template to build a custom dashboard for your
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Use IDC-provided Looker Studio template to build a custom dashboard for your
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cohort
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---
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# Dashboard for your cohort
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You can use [this DataStudio template](http://bit.ly/3jdCmON) to build a custom dashboard for your own cohort, which will look like the screenshot below in three relatively simple steps.
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You can use [this Looker Studio template](http://bit.ly/3jdCmON) to build a custom dashboard for your own cohort, which will look like the screenshot below in three relatively simple steps.
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![Screenshot of the DataStudio dashboard template you can use to explore your cohort.](<../../.gitbook/assets/image (11).png>)
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FROM
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`canceridc-user-data.user_manifests.manifest_cohort_101_20210127_213746` AS my_cohort
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JOIN
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`canceridc-data.idc_current.dicom_all` AS all_of_idc
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`bigquery-public-data.idc_current.dicom_all` AS all_of_idc
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ON
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all_of_idc.SOPInstanceUID = my_cohort.SOPInstanceUID
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```
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# More dashboard examples
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Here are the example dashboards that utilize BigQuery tables with DICOM metadata:
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* Custom dashboard for exploring IDC content: [https://datastudio.google.com/reporting/20683e72-32a9-4c87-8c0f-bfdf62454b75](https://datastudio.google.com/reporting/20683e72-32a9-4c87-8c0f-bfdf62454b75)
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* LIDC collection dashboard: [https://bit.ly/39EaVXT](https://bit.ly/39EaVXT) (see details in [this paper](https://pubmed.ncbi.nlm.nih.gov/32772385/))
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* RMS-Mutation-Prediction collection dashboard: [https://lookerstudio.google.com/reporting/7f267400-8774-42e1-b5d1-ca11863c52a9](https://lookerstudio.google.com/reporting/7f267400-8774-42e1-b5d1-ca11863c52a9)
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* HTAN program dashboard: [https://lookerstudio.google.com/reporting/b20f4731-ddbb-4369-8d52-1d4652cd755a](https://lookerstudio.google.com/reporting/b20f4731-ddbb-4369-8d52-1d4652cd755a)
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* CT contrast images exploration: [https://lookerstudio.google.com/reporting/a5497bdc-54a5-4f48-b617-6dfc5a80a492](https://lookerstudio.google.com/reporting/a5497bdc-54a5-4f48-b617-6dfc5a80a492)
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* TotalSegmentator-CT-Segmentations: [https://lookerstudio.google.com/reporting/c3e2965e-e615-4b4b-b523-1fc335dd9d43](https://lookerstudio.google.com/reporting/c3e2965e-e615-4b4b-b523-1fc335dd9d43)
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* Preclinical images: [https://lookerstudio.google.com/reporting/053952fa-0290-4273-a0f2-9f7811270edd](https://lookerstudio.google.com/reporting/053952fa-0290-4273-a0f2-9f7811270edd)
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* Slide microscopy images: [https://lookerstudio.google.com/reporting/e4795618-80ad-4cfe-a668-89a8090d560b/page/NM1rD](https://lookerstudio.google.com/reporting/e4795618-80ad-4cfe-a668-89a8090d560b/page/NM1rD)
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Topic-specific dashboards
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* [Digital pathology / slide microscopy dashboard](https://lookerstudio.google.com/reporting/e4795618-80ad-4cfe-a668-89a8090d560b/page/NM1rD)
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* [Preclinical images dashboard](https://lookerstudio.google.com/reporting/053952fa-0290-4273-a0f2-9f7811270edd)
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* [CT contrast images exploration](https://lookerstudio.google.com/reporting/a5497bdc-54a5-4f48-b617-6dfc5a80a492)&#x20;
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Program- and Collection-specific dashboards
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* [HTAN program dashboard](https://lookerstudio.google.com/reporting/b20f4731-ddbb-4369-8d52-1d4652cd755a)&#x20;
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* [RMS-Mutation-Prediction collection dashboard](https://lookerstudio.google.com/reporting/7f267400-8774-42e1-b5d1-ca11863c52a9)&#x20;
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* [LIDC-IDRI collection dashboard](https://bit.ly/39EaVXT) (see details in [this paper](https://pubmed.ncbi.nlm.nih.gov/32772385/))
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* [TotalSegmentator-CT-Segmentations](https://lookerstudio.google.com/reporting/c3e2965e-e615-4b4b-b523-1fc335dd9d43)&#x20;

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