GITBOOK-450: change request with no subject merged in GitBook

Author: fedorov

SUMMARY.md

@@ -3,7 +3,7 @@
 * [Welcome!](README.md)
 * [🚀 Getting started](getting-started-with-idc.md)
 * [Core functions](core-functions-of-idc.md)
-* [Frequently asked questions](frequently-asked-questions.md)
+* [Frequently Asked Questions](frequently-asked-questions.md)
 * [Support](support.md)
 * [Key pointers](idc-key-pointers.md)
 * [Publications](publications.md)

frequently-asked-questions.md

@@ -1,4 +1,4 @@
-# Frequently asked questions
+# Frequently Asked Questions
 
 ## What is the difference between IDC and TCIA?
 
@@ -8,21 +8,21 @@ TCIA provides unique service to work with data submitters to de-identify cancer
 
 The mission of IDC is to support efficient access and use of the cancer imaging data, after it was de-identified and released. Some of the highlights that make IDC unique are the following:
 
-* while all of the public TCIA DICOM collections are available in IDC, there is a growing amount of data in IDC that is not available anywhere else:
+* **Unique datasets:** while all of the public TCIA DICOM collections are available in IDC, there is a growing amount of data in IDC that is not available anywhere else:
   * DICOM digital pathology collections from prominent initiatives: Childhood Cancer Data Initiative (CCDI), GTEx, TCGA, CPTAC, HTAN, CMB
   * image analysis results available only from IDC, such as TotalSegmentator segmentations and radiomics features for most of the CT images in the NLST collection
-* IDC makes the data available in public cloud buckets, the egress is free (TCIA provides download from on-premises servers at a single institution): chances are your will be able to download data from IDC much faster than from TCIA
-* IDC maintains superior community recognized tools to support the use of the data: 
+* **Cloud-native:** IDC makes the data available in public cloud buckets, the egress is free (TCIA provides download from on-premises servers at a single institution): chances are your will be able to download data from IDC much faster than from TCIA
+* **State of the art tools:** IDC maintains superior community recognized tools to support the use of the data: 
   * modern OHIF Viewer v3 for radiology data, with support of visualization of annotations and segmentations; 
   * Slim viewer for digital pathology and annotations
   * highly capable IDC Portal
-* IDC offers standard interfaces for data access: S3 API for file download, DICOMweb for interoperability with DICOM tools, SQL for searching all of the DICOM metadata (TCIA offers various non-standard, in-house interfaces and APIs for data access)
-* All of the data (radiology and digital pathology images, annotations, segmentations, image-derived features) available in IDC is harmonized into DICOM representation, which means 
+* **Standard access interfaces:** IDC offers standard interfaces for data access: S3 API for file download, DICOMweb for interoperability with DICOM tools, SQL for searching all of the DICOM metadata (TCIA offers various non-standard, in-house interfaces and APIs for data access)
+* **Harmonized data:** All of the data (radiology and digital pathology images, annotations, segmentations, image-derived features) available in IDC is harmonized into DICOM representation, which means 
   * interoperability: you can use IDC data with any DICOM-compatible tool
   * metadata: every single file in IDC is accompanied by metadata that follows DICOM data model, and is associated with unique identifiers, allowing you to build reproducible cohorts
   * uniform representation: you don't need to customize your processing pipelines to a specific collection, and can build cohorts combining data across collections
-* IDC data is easier to access from cloud computing resources, allowing you to more easily experiment with the new analysis tools and scale your computation
-* IDC data is versioned: you will be able to access the exact files you analyzed in a given verison of IDC even if there were any updates to the collection after you accessed it, helping you achieve reproducibility of your analyses
+* **Co-location with cloud compute resources:** IDC data is easier to access from cloud computing resources, allowing you to more easily experiment with the new analysis tools and scale your computation
+* **Versioning:** IDC data is versioned: you will be able to access the exact files you analyzed in a given verison of IDC even if there were any updates to the collection after you accessed it, helping you achieve reproducibility of your analyses
 
 ## How to download data from IDC?