TCIA Analysis Results Proposal
Please answer the questions below to allow the TCIA Advisory Group to review your proposal.  The group meets monthly to review new proposals.  You will be invited to the next upcoming meeting to review your proposal and answer any questions.  Email help@cancerimagingarchive.net with any questions.  
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Email *
Provide a scientific point of contact. *
Please include name, email, and phone number for the person who we can contact to resolve any questions about this proposal and how the data were collected.
Who will we work with to obtain the data? *
Please provide a name, email, and phone number for any technical point(s) of contact who will be involved in sending us your data.
Provide a legal/contracts administrator who can review and sign the TCIA Data Transfer Agreement
 *
Please provide the name and email of an authorized signatory at your institution who will sign the TCIA DSA if your collection proposal is approved.  This should not be the PI or a department chair.  They must have legal authority to sign off on the transfer intellectual property from your institution.  A copy of the DSA can be found here: https://wiki.cancerimagingarchive.net/x/ZwA2.  This is a non-negotiable document that cannot be modified before signature.
Suggest a descriptive title for your data set. *
Suggest a shorter nickname for your dataset.
E.g. "Segmentation of Vestibular Schwannoma from Magnetic Resonance Imaging: An Open Annotated Dataset and Baseline Algorithm" has a shorter nickname of "Vestibular-Schwannoma-SEG".  These nicknames must be < 30 characters and may only utilize letters, numbers and dashes.
List the authors of this data set. *
Please list all authors in the order you'd like them to appear if the data set is published on TCIA.   Names should be listed as (FAMILY, GIVEN).   Please include all author's OrcIDs as well.
Provide a Dataset Abstract *
This should be a brief description of the dataset (<1,000 characters with spaces), similar to a publication abstract you'd provide to a journal.  This text will also be displayed to TCIA users in places where we want to give them context about your dataset but there is not much screen real estate. 
Provide a Dataset Description *
This should be an exhaustive description of your dataset.  This text should explain everything TCIA users need to know in order to utilize your data set.  It should focus primarily on  describing the dataset itself (not the research projects that utilized the data).

Note that the TCIA advisory group uses specific criteria to evaluate proposals (https://www.cancerimagingarchive.net/analysis-results/). Please make sure your description addresses these criteria. Be sure to include patient inclusion/exclusion criteria, the scientific criteria used to determine your analysis methodology, and the biological relevance of your analyses. For annotations, provide criteria for segmentations (e.g. threshold values, bone v. soft tissue). 
How will other researchers benefit if we add your data to TCIA?
Provide a short explanation of scientific questions which might be answered using this data and how it is unique from the existing Collections already in TCIA.
Please list any additional acknowledgements or funding statements you'd like us to notify users about if your data is accepted. *
Please list all authors in the order you'd like them to appear if the data set is published on TCIA.
Which TCIA collection(s) did you analyze? *
How many patients are included in your dataset? If you know the number of DICOM series or digitized pathology slides please include those totals as well. *
Do you have records to indicate exactly which TCIA images you have analyzed? *
For radiology we'll need a list of DICOM Series Instance UIDs you've analyzed.  For pathology we'll need the slide IDs or file names of the images you analyzed.
Specify the file format utilized for each type of data you will be sharing. *
DICOM is our preferred file format for radiology data.  In some cases we can provide assistance with converting data from other formats into DICOM.  Example answer:  "Segmentations are saved in DICOM format", "Image labels are saved in CSV format".
If there is a publication you would like people to cite when utilizing this data please provide the citation.
If there are any additional publications about this data set please list them.
As a convenience to TCIA users we list these at http://www.cancerimagingarchive.net/related-publications/.
Are there any time constraints associated with sharing your data set?
For example, do you have a publication that is pending availability of this data in a public archive? Will this data set be used as part of a challenge competition?  
A copy of your responses will be emailed to the address you provided.
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