Other Data-Sharing Entities
There are numerous data-sharing platforms; we have listed several of the more prominent ones below. There is a spirit of cooperation among these platforms, as they generally cross-reference one another and share best practices. What they all share is the belief that secondary use of clinical data generates unique inferences and honors patients by extending the use of their data.
TCIA is a service that de-identifies and hosts a large archive of medical images of cancer accessible for public download. The data are organized as “Collections,” typically patients related by a common disease (e.g. lung cancer); image modality (MRI, CT, etc.); or research focus.
CSDR is a consortium of clinical study sponsors/funders whose goal is to drive scientific innovation and improve medical care by facilitating access to patient-level data from clinical studies.
DCRI is known for conducting groundbreaking multinational clinical trials, managing major national patient registries, and performing landmark outcomes research.
A centralized, controlled-access database created by the NCI for storing and sharing datasets generated from clinical trials of the NCTN.
The Yale University Open Data Access (YODA) Project has developed a model to make data available to researchers in a sustainable way, in which data sharing becomes a part of the clinical research enterprise of the future. The mission of the YODA Project is not only to increase access to clinical research data, but to promote its use to generate new knowledge.
An independent, nonprofit global data-sharing and analytics platform. Vivli’s focus is on sharing individual participant-level data from completed clinical trials to serve the international research community. The Vivli platform includes an independent data repository, in-depth search engine, and a secure research environment.
Note: The resources listed here are operated by other parties. As such, Project Data Sphere is not responsible for any of the content they may offer. The list and any links to the listed resources do not imply Project Data Sphere’s endorsement of any third-party content, and Project Data Sphere disclaims all liability with regard to your access and use of such content. You are responsible for complying with any legal terms that may be applicable to your access to and use of any content offered by any of these resources.