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About

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About IDC
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- NCI Imaging Data Commons (IDC) is a cloud-based repository of publicly available cancer - imaging data co-located with the analysis and exploration tools and resources. IDC is a node - within the broader NCI Cancer Research Data Commons (CRDC) infrastructure that provides - secure access to a large, comprehensive, and expanding collection of cancer research data. - All data hosted by IDC will be available publicly. The current content of IDC is populated - using the radiology collections from The Cancer Imaging Archive (TCIA) , as well as data - collected by other major NCI initiatives, such as TCGA, CPTAC, NLST, and HTAN. IDC does not - perform de-identification of images but will accept data de-identified by TCIA or other Data - Coordinating Centers that are approved by NCI Security. -

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- IDC provides access to the data standardized using the Digital Imaging and Communication in Medicine (DICOM) - standard. IDC collaborates with the projects generating the data to - harmonize alternative formats into DICOM representation. Its content includes not only - images, but also image annotations and analysis results, and is linked using common - identifiers to the other types of cancer data, such as proteomics and genomics datasets in - the - Cancer Research Data Commons (CRDC). Access to the data is supported using standard - interfaces. Given the IDC's role as an imaging data science platform, a major focus is on - establishing best practices for imaging research. In this regard, a key role of IDC is in - preparing and adapting commonly used tools for image analysis to be run on cloud - environments with IDC-hosted datasets. Summarized derived data from analyses previously - run will be associated with imaging data on IDC for ease of use by the research community. -

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Data Types
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- IDC contains various types of images and image-derived data harmonized using the DICOM standard. - As of October 2022, IDC contains the following types of images: -

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  • Clinical and preclinical imaging
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  • Radiological images (e.g., CT, MRI, PET)
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  • Digital pathology images
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  • Multispectral microscopy images
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  • Image annotations (e.g., planar and volumetric, regions of interest)
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  • Parametric maps derived from images (e.g., perfusion and diffusion maps)
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  • Measurements derived from the images (e.g., radiomics features for the annotated regions of interest)
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  • Expert assessments of the image findings (e.g., qualitative characterizations of lesion appearance)
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Data Submission to IDC
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- Currently IDC will consider submissions from NCI-funded driving projects and data from special - selected projects. -

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- IDC only hosts public datasets. It does not support access limitations, - such as data embargoes or sequestration. -

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- Submitters of data to IDC must ensure that the data have been de-identified with respect to - protected health information (PHI). Currently, IDC accepts data de-identified by - - The Cancer Imaging Archive (TCIA) - . Datasets de-identified by other data coordinating centers - (DCC) may be considered but in such cases further information will be required (see - - Google Doc form - - that will be used to collect information about how de-identification is done). -

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- If you are interested in making your data available within IDC, please contact us by sending - email to support+submissions@canceridc.dev. -

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Citing IDC
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- An overview of IDC is available in this open access publication. If you use IDC, please acknowledge us by citing it! -

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- Fedorov, A., Longabaugh, W. J. R., Pot, D., Clunie, D. A., Pieper, S., Aerts, H. J. W. L., - Homeyer, A., Lewis, R., Akbarzadeh, A., Bontempi, D., Clifford, W., Herrmann, M. D., Höfener, H., - Octaviano, I., Osborne, C., Paquette, S., Petts, J., Punzo, D., Reyes, M., Schacherer, D. P., - Tian, M., White, G., Ziegler, E., Shmulevich, I., Pihl, T., Wagner, U., Farahani, K. & Kikinis, R. -
- NCI Imaging Data Commons. Cancer Res. 81, 4188–4193 (2021). -
- - http://dx.doi.org/10.1158/0008-5472.CAN-21-0950 - -

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- You can also review the accompanying demonstration videos - for a quick summary of some of the key features of the platform. -

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