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Persistent Identifiers to Subsets of TCIA Data

To facilitate data sharing, many publications encourage authors to include data citations to the data that the authors used in creating the results described in their scholarly papers.  In addition, new journals are now available for describing data collections outright (e.g., Nature Scientific Data).  As a service to the community, TCIA now has the ability to create persistent identifiers linked to subsets of data held within TCIA that authors may use as data citations in their scholarly papers.

TCIA uses the DataCite system to manage these references.  DataCite leverages the Digital Object Identifier (DOI) infrastructure, which is widely used in citing scholarly articles.  TCIA users may request that a DOI be created for subsets of data stored within TCIA. A DOI request related to data that is NOT managed by TCIA will NOT be granted. All information related to a TCIA DOI must be persistently managed by TCIA.

To request a DOI for a subset of data, a registered TCIA user must first identify the subset of data that will be referenced by the DOI.  The best way for a user to identify this subset of data is to create a shared list using TCIA's web application (see "Creating a Shared List").  By definition, only publicly available data may be included in the shared list.  Creating a DOI to private data is not permitted.  Currently DOIs created by TCIA may only reference static (unchanging) subsets of data.  In other words, if someone changes the content of the shared list, this will not be reflected in data returned by existing DOIs created from that shared list.

Once a user has created a shared list, they may request that a DOI be created by sending an e-mail message to TCIA's help desk with the following information:

  • Requestor - The name and e-mail address of the person with whom TCIA staff will work to create the DOI (defaults to the user submitting the request to the help desk).
  • Shared List Name - The name of the TCIA shared list you've created that identifies the data that will be the subject of the DOI. (required - See Creating a Shared List for assistance)
  • Title - A public name that will be given to collection (similar to the title of a paper) (defaults to the shared list name).
  • Authors - The names of the authors who wish to be associated with the DOI (defaults to the Requestor).
  • Abstract - A brief abstract of the data subset (required).  
  • Special Instructions - Any guidance about the timing of when we publish your DOI (e.g. it should not be listed until a related manuscript is published) or other questions/concerns.

Once TCIA validates the request, they will create a DOI landing page for the citation and associate a DOI with that landing page.  The landing page will include a link that allows readers to directly download the subset of data cited.  The help desk will then inform the requestor (via return e-mail) when the new DOI is ready.


DOI Directory

An alphabetical listing of available DOIs created for TCIA-hosted data:

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To enhance the value of TCIA collections we encourage the research community to publish their analyses of existing TCIA image collections. Examples of this kind of data includes radiologist or pathologist annotations, image classifications, segmentations, radiomics features, or derived/reprocessed images.  Similar to submitting new image collections, these data are reviewed by the TCIA Advisory Group for relevance and curated using our normal processes to assure data are de-identified.  However, TCIA does not certify the quality of the analyses themselves (e.g. accuracy of segmentation on a given scan).  Researchers should always carefully review the data and any related publications before deciding whether these analyses could be useful in their work.

Note: Column headers can be clicked to sort the table.


Cancer Type



Collections Analyzed

Analysis Artifacts on TCIA


DICOM SR of clinical data and measurement for breast cancer collections to TCIABreastBreast474TCGA-BRCA, BREAST-DIAGNOSIS, ISPY1Breast-MRI-NACT-PilotDICOM SR descriptions of patient characteristics, histopathology, receptor status and clinical findings including measurements.2020-05-28

DICOM-SEG Conversions for TCGA-LGG and TCGA-GBM Segmentation Datasets

Glioblatoma, Low Grade GliomaBrain167TCGA-GBMTCGA-LGGTumor segmentations2020-04-30
Integration of CT-based Qualitative and Radiomic Features with Proteomic Variables in Patients with High-Grade Serous Ovarian Cancer: An Exploratory AnalysisOvarianOvary20TCGA-OVRadiologist assessments of image features, proteogenomic features2020-04-15
Thoracic Volume and Pleural Effusion Segmentations in Diseased Lungs for Benchmarking Chest CT Processing PipelinesLungLung402NSCLC-RadiomicsThoracic segmentations, pleural effusion segmentations, image features2020-04-08

Standardized representation of the TCIA LIDC-IDRI annotations using DICOM

LungChest1,010LIDC-IDRITumor segmentations, image features2020-03-26

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

Lung, Head-NeckLung, Head-Neck701NSCLC-Radiomics, NSCLC-Radiomics-GenomicsHead-Neck-Radiomics-HN1NSCLC-Radiomics-Interobserver1RIDER Lung CTTumor segmentations and radiomic features2020-03-23

RIDER Lung CT Segmentation Labels from: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

LungChest31RIDER Lung CTTumor segmentations2020-02-13
Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology ImagesVarious (14 collections)Various (14 collections)
Various (14 TCGA collections)Nuclei segmentations2020-02-08

Data from Head and Neck Cancer CT Atlas

Head and Neck Squamous Cell CarcinomaHead-Neck215HNSCCRadiation Therapy Structures2019-07-11

SDTM datasets of clinical data and measurements for selected cancer collections to TCIA

Breast, GlioblastomaBreast, Brain516ISPY1BREAST-DIAGNOSISBreast-MRI-NACT-Pilot, TCGA-BRCAIvy GAPStandardized (SDTM format) conversions of clinical and image analysis data2019-06-21

Crowds Cure Cancer: Data collected at the RSNA 2018 annual meeting

Various (13 collections)Various (13 collections)324Various (13 collections)Lesion measurements2019-05-30

QIN multi-site collection of Lung CT data with Nodule Segmentations

LungChest31Lung PhantomLIDC-IDRIQIN LUNG CTRIDER Lung CTTumor segmentations2018-12-18

Tumor-Infiltrating Lymphocytes Maps from TCGA H&E Whole Slide Pathology Images

Various (13 collections)Various (13 collections)4,759Various (13 TCGA collections)Deep learning based computational stain for staining tumor-infiltrating lymphocytes (TILs)2018-12-17

TCGA Breast Phenotype Research Group Data sets

BreastBreast84TCGA-BRCARadiologist assessments of image features, lesion segmentations, radiomic features, and multi-gene assays2018-09-04

Crowds Cure Cancer: Data collected at the RSNA 2017 annual meeting

Lung Adenocarcinoma, Renal Clear Cell, Liver, OvarianChest, Kidney, Liver, Ovary352TCGA-LUADTCGA-KIRCTCGA-LIHC, TCGA-OVLesion measurements2018-05-17

Long and Short Survival in Adenocarcinoma Lung CTs

Lung AdenocarcinomaChest40LungCT-DiagnosisQIN LUNG CTTumor segmentations and radiomic image features2017-08-11

Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-GBM collection

GlioblastomaBrain135TCGA-GBMTumor segmentations and radiomic image features2017-07-17

Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-LGG collection

Low Grade GliomaBrain108TCGA-LGGTumor segmentations and radiomic image features2017-07-17

ROI Masks Defining Low-Grade Glioma Tumor Regions In the TCGA-LGG Image Collection

Low Grade GliomaBrain188TCGA-LGGRadiologist assessments of image features, tumor segmentations2017-03-17

Image Data Used in the Simulations of "The Role of Image Compression Standards in Medical Imaging: Current Status and Future Trends"

Colon, Lung, Breast, GlioblastomaColon, Chest, Breast, Brain40CT COLONOGRAPHY, LIDC-IDRITCGA-BRCA, TCGA-GBMN/A2016-12-08

Glioblastoma: Imaging Genomic Mapping Reveals Sex-specific Oncogenic Associations of Cell Death


Imaging Features, and Correlations with Genomic and Clinical Data from the TCGA Ovarian Radiology Research Group

High-Grade Serous Ovarian CancerOvary93TCGA-OVRadiologist assessments of image features, genomic subtypes2016-08-02

Spatial Habitat Features derived from Multiparametric Magnetic Resonance Imaging data from Glioblastoma Multiforme cases


NCI-ISBI 2013 Challenge: Automated Segmentation of Prostate Structures



Prostate structure segmentations2015-08-20

Radiogenomics of Clear Cell Renal Cell Carcinoma: Preliminary Findings of The Cancer Genome Atlas-Renal Cell Carcinoma (TCGA-RCC) Research Group

Renal Clear Cell CarcinomaKidney103TCGA-KIRCRadiologist assessments of image features2015-05-28

Segmentation of Pulmonary Nodules in Computed Tomography Using a Regression Neural Network Approach and its Application to the Lung Image Database Consortium and Image Database Resource Initiative Dataset


MR Imaging Predictors of Molecular Profile and Survival: Multi-institutional Study of the TCGA Glioblastoma Data Set

GlioblastomaBrain75TCGA-GBMRadiologist assessments of image features2014-11-12

Radiogenomic Analysis of Breast Cancer: Luminal B Molecular Subtype Is Associated with Enhancement Dynamics at MR Imaging


Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features

GlioblastomaBrain55TCGA-GBMTumor segmentations2014-11-05

Outcome Prediction in Patients with Glioblastoma by Using Imaging, Clinical, and Genomic Biomarkers: Focus on the Nonenhancing Component of the Tumor

GlioblastomaBrain45TCGA-GBMRadiologist assessments of image features and hemodynamic parameters 2014-07-24

NSCLC Radiogenomics: Initial Stanford Study of 26 Cases

LungChest26NSCLC RadiogenomicsN/A2013-03-01