Overview
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Each Collection TCIA publishes is issued a Digital Object Identifier (DOI) through
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DataCite. The DataCite Commons is a web search interface for the PID Graph, the graph formed by the collection of scholarly resources such as publications, datasets, people and research organizations, and their connections.
The DataCite REST API can be used to
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programmatically access Collection metadata such as their DOIs, titles and abstracts. Please note that this API was not developed by TCIA
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. See https://support.datacite.org/ for any technical questions. The TCIA Helpdesk may be able to assist if your inquiry is related to the content of the data itself.
Official Datacite Documentation
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- DataCite REST API - https://support.datacite.org/reference/introduction
- DataCite REST API Guide - https://support.datacite.org/docs/api
- DataCite Schema - http://schema.datacite.org
The Cancer Imaging Archive is identified within DataCite as
prefix-id 10.7937
client-id = sml.tcia
provider-id = tciar
Properties
TCIA Metadata in DataCite
TCIA utilizes the following Properties of the DataCite schema.
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| Property ID | Property |
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| Property Description | |
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| 1 | Identifier |
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| DOI of the Dataset |
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| 2 |
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| Creator |
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| Authors of the Dataset, preferably with ORCIDID |
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| 3 |
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| Title |
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| Published Title of the Dataset |
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| 4 |
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| Publisher |
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| The Cancer Imaging Archive |
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| 5 |
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| PublicationYear |
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| The Year the Dataset was published in TCIA |
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| 10 |
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| ResourceType |
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| Dataset; Equivalent to a TCIA Collection |
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| 11 * | AlternateIdentifier | TCIA "Short Name" for the Dataset. These short names appear in various places such as https://www.cancerimagingarchive.net/collections/ and https://www.cancerimagingarchive.net/tcia-analysis-results/ |
| 15 * | Version |
| The Current Version of the Dataset |
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| 16 * |
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| Rights |
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| Licensing Information |
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| 17 * |
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| Description |
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| Dataset Abstract |
* indicates properties that are "Recommended and Optional" per the Datacite Schema whereas the others are required to create a DOI.
TCIA-Utils
The tcia_utils package contains functions to simplify common tasks one might perform when interacting with The Cancer Imaging Archive (TCIA) via Python. Issues with this package should be submitted at https://github.com/kirbyju/tcia_utils/issues. Installation can be achieved with this Pip command:
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To import functions related to Datacite:
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An example notebook demonstrating tcia_utils functionality with DataCite's API can be found at https://github.com/kirbyju/TCIA_Notebooks/blob/main/TCIA_DataCite_Queries.ipynb.
Example Queries
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For this example we are using a Published Collection called "Pseudo-PHI-DICOM-Data": |
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https://api.datacite.org/dois?provider-id=tciar By default, only 25 records are returned. You can control the number of records returned using pagination options. For example, to return only 5 records https://api.datacite.org/dois?provider-id=tciar&page[size]=5 or |
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For instance, |
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return the records published by The Cancer Imaging Archive that were published in 2016: or |
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For this example we are using a Published Collection called "Pseudo-PHI-DICOM-Data": |
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