GITBOOK-383: change request with no subject merged in GitBook

README.md

@@ -16,11 +16,11 @@ layout:
 
 [**NCI Imaging Data Commons** **(IDC)**](https://imaging.datacommons.cancer.gov) is a cloud-based environment containing publicly available cancer imaging data co-located with analysis and exploration tools and resources. IDC is a node within the broader NCI [Cancer Research Data Commons (CRDC)](https://datacommons.cancer.gov/) infrastructure that provides secure access to a large, comprehensive, and expanding collection of cancer research data. 
 
-<figure><img src=".gitbook/assets/idc_v18_summary.jpg" alt=""><figcaption><p>Summary of the selected aspects of IDC content; see interactive dashboard <a href="https://lookerstudio.google.com/reporting/04cf5976-4ea0-4fee-a749-8bfd162f2e87/page/p_s7mk6eybqc">here</a></p></figcaption></figure>
+<figure><img src=".gitbook/assets/image (35).png" alt=""><figcaption><p>IDC v19 summary</p></figcaption></figure>
 
 ## Highlights
 
-* **>65 TB of data**: IDC contains radiology, brightfield (H\&E) and fluorescence slide microscopy images, along with image-derived data (annotations, segmentations, quantitative measurements) and accompanying clinical data
+* **>78 TB of data**: IDC contains radiology, brightfield (H\&E) and fluorescence slide microscopy images, along with image-derived data (annotations, segmentations, quantitative measurements) and accompanying clinical data
 * **free**: all of the data in IDC is publicly available: no registration, no access requests
 * **commercial-friendly**: >95% of the data in IDC is covered by the permissive CC-BY license, which allows commercial reuse (small subset of data is covered by the CC-NC license); each file in IDC is tagged with the license to make it easier for you to understand and follow the rules
 * **cloud-based**: all of the data in IDC is available from both Google and AWS public buckets: fast and free to download, no out-of-cloud egress fees

frequently-asked-questions.md

@@ -63,6 +63,5 @@ Many of the imaging collections are also accompanied by the genomics or proteomi
 IDC Portal gives you access to just a small subset of the metadata accompanying IDC images. If you want to learn more about what is available, you have several options:
 
 * [this notebook](https://github.com/ImagingDataCommons/IDC-Tutorials/blob/master/notebooks/getting\_started/part2\_searching\_basics.ipynb) from our Getting Started tutorial series explains how to use [`idc-index`](https://github.com/ImagingDataCommons/idc-index) - a python package that aims to simplify access to IDC data
-*
-
-If you are not comfortable writing queries, you can use [this DataStudio dashboard](https://datastudio.google.com/reporting/ab96379c-e134-414f-8996-188e678f1b70/page/KHtxB) to search using some of the attributes that are not available through the portal. You can also [extend this dashboard](cookbook/data-studio/cohort-dashboard.md) to include additional attributes.
+* [this more advanced notebook](https://github.com/ImagingDataCommons/IDC-Tutorials/blob/master/notebooks/getting\_started/part3\_exploring\_cohorts.ipynb) will help you get started with searching IDC metadata in BigQuery, which gives you access to all of the DICOM metadata extracted from IDC-hosted files
+* if you are not comfortable writing queries or coding in pyhon, you can use [this DataStudio dashboard](https://datastudio.google.com/reporting/ab96379c-e134-414f-8996-188e678f1b70/page/KHtxB) to search using some of the attributes that are not available through the portal. You can also [extend this dashboard](cookbook/data-studio/cohort-dashboard.md) to include additional attributes.