The Cancer Imaging Archive (TCIA) Public Access

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Summary

Excerpt

The mission of the Quantitative Imaging Network (QIN) is to improve the role of quantitative imaging for clinical decision making in oncology by the developing and validating data acquisition, analysis methods, and tools to tailor treatment for individual patients and predict or monitor the response to drug or radiation therapy. 

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The guiding principles of the QIN data sharing policy are as follows: 

Info
titleQIN Data Sharing Policy
  1. Fairness, collegiality, and cooperation in the joint pursuit of scientific advancement. The QIN encourages use of resources generated within the QIN consistent with the missions of the QIN and the NCI.
  2. The QIN has a responsibility to ensure that the use of QIN Resource is ethical and scientifically sound.
  3. Data will be shared in a manner that allows good use to be made of them. This includes, for example, proper documentation, indexing, or curation/vetting of data where appropriate.
  4. Appropriate attribution and acknowledgement for QIN Resources will be provided.
  5. QIN data and images typically will not be released to individuals or companies prior to the publication of the projects primary aim manuscript.
  6. Data sharing will not burden the QIN's resources such as to impede its ability to pursue its primary research.
  7. Investigators interested in asking research questions of data collected as part of QIN projects are encouraged to do so as a collaborative effort within the QIN structure.
  8. Investigators interested in using QIN data must agree to adhere to the QIN publication policy.

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To facilitate data sharing, the QIN increasingly relies on The Cancer Imaging Archive (TCIA) as a resource, which addresses many of the principles set forth in the data sharing policy.  Most importantly, TCIA provides a mechanism for access-controlled data sharing and extensive de-identification services, which comply with Health Insurance Portability and Accountability Act (HIPAA) regulations. This drastically reduces the burden on QIN sites when sharing their data.  More information can be found in the following paper describing QIN data sharing activities:

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titleCitation

Kalpathy-Cramer, J., Freymann, J. B., Kirby, J. S., Kinahan, P. E., & Prior, F. W. (2014, February). Quantitative Imaging Network: Data Sharing and Competitive AlgorithmValidation Leveraging The Cancer Imaging Archive. Translational Oncology. Elsevier BV. http://doi.org/10.1593/tlo.13862