In addition to publishing new datasets on TCIA we encourage the community to publish datasets derived from analyses of existing TCIA datasets. Examples of this include segmentations, radiomics/pathomics features, and radiologist/pathologist assessments.
If your analysis results include voxel-based segmentations, parametric maps (e.g., maps of DCE or DWI MRI model parameter fits), or measurements derived from the segmented regions (e.g., radiomics features), please consider using the dcmqi library in github in to convert your dataset into standard DICOM representation.
Submitting a request to publish analysis results
In order to publish analysis results you must first identify the subset of TCIA data that you analyzed. This can be done by compiling a list of Series Instance UIDs or by using the Share My Cart feature. Once a shared cart is created you can send a request to publish your dataset to TCIA’s help desk providing the following information:
- Shared Cart URL – The URL that identifies the data you have analyzed.
- Title – The title of your dataset.
- Authors – The names of the authors who helped generate the dataset in the order you would like them to appear in the citation.
- Abstract – A brief abstract of the data. It should include how you selected the image data, how any analyses were generated/collected, and what the potential value of this data is for other TCIA users.
- Special Instructions – Any guidance about the timing of when we publish the DOI (e.g. it should not be listed until a related manuscript is published) or other questions/concerns.
Your data will be published with a digital object identifier (DOI) which can be cited in publications which use your data. To help other users find your dataset on TCIA entries will be added on the Collection pages of any TCIA dataset your analyses utilized and also to our Analysis Results directory page.
Getting credit for data sharing
New journals dedicated to describing data sets are beginning to gain in popularity. Below is a list of data journals which recognize TCIA as a Recommended Repository. These can be used to publish detailed descriptions of your TCIA data to gain academic credit (publication/citations) for your efforts in addition to the novel scientific findings you might publish in traditional journals.