Hi organizers,
The rules state that external data and pre-trained models are allowed, but that
for prize eligibility external data must be “freely and publicly available to all
participants” and licensed to permit commercial use (no NC / CC NC / CC BY-NC).
I’d like to confirm how this applies to PPMI (Parkinson’s Progression Markers
Initiative, ida.loni.usc.edu), which is the largest public DaT-SPECT collection
and the obvious external candidate for this task. Its access model is:
- Free of charge and open to any researcher — no fee, no selection committee for
the standard tiers. - But gated: you must register with LONI IDA and sign a Data Use Agreement
before downloading. - The DUA restricts redistribution (data may not be shared beyond the
investigators named in the request), limits use to the purpose described in the
application, and attaches IP policies.
So PPMI is “freely available to anyone who applies”, but it is not downloadable
without an individual agreement and it is not released under an open license in
the CC/MIT sense. That seems to sit right on the boundary of the rule, hence the
question.
Specifically:
- Does PPMI satisfy “freely and publicly available to all participants” for
prize eligibility, given the registration + DUA gate? - Does the DUA’s purpose-limitation and no-redistribution clause conflict with
the commercial-use requirement? - Does the same answer apply to weights pretrained on PPMI — either trained
by me, or third-party released checkpoints? Is a model derived from DUA-gated
data treated like the data itself? - If PPMI is not eligible, is it still permitted for non-prize-eligible
submissions or for methodological exploration, provided the final submitted
model is trained only on challenge data?
The same question applies to other DaT datasets released under “academic use
only” terms, such as the NTUA Parkinson dataset.
Clarifying this early would help a lot with planning. Thanks!