In a nutshell, you agree that your results may be used publicly (but anonymously if you choose); you agree not to disseminate the data; and you agree to document your procedures and acknowledge the data source.
Not all the data in SAMPL is truly blind as a limited subset may be
found in the literature. In signing this agreement the Contributor
acknowledges this fact and agrees not to seek out this information for
the purpose of improving the accuracy of their submission. In addition,
any prior knowledge on the systems under consideration must be disclosed
as Ancillary Data.
The structural and chemical information (The Information) downloaded
from the OpenEye website is only for the purpose of contributing to the
SAMPL event. The Information may not be shared outside of the
organization agreeing to this document. At the conclusion of the SAMPL
event, The Information will be made freely available.
All predictions (Results) contributed to SAMPL must be accompanied by a
complete description of the procedures employed as Ancillary Data, for
instance version numbers of software, parameter selection etc. This
description must be sufficient to allow for reproduction of the Results.
Any Results and Ancillary Data submitted for inclusion in SAMPL are
considered public after Sept. 20, 2013, with the exception of the
submitters name and affiliation. These may be withheld at the
contributor’s request. Such a request must be made before Sept. 1, 2013. Contributors who submit multiple attempts at a particular challenge component
must chose anonymity for all attempts at that component or none.
Results may not be altered after submission. Groups are allowed multiple
submissions on a particular challenge aspect, as long as each submission is
clearly annotated and differentiated from other such submissions in the
Ancillary Data.
The final date for submissions is published on the SAMPL site, and is
roughly one month before the SAMPL workshop; contributors will only have
access to affinity data after this deadline. Contributors may submit
ancillary data after this date but not predictions.
Some predictive aspects of the challenge (for example, the HIV integrase dataset) are designed for progressive blind prediction. By request, participants may skip phases,
for example pass on virtual screening and pose prediction in order to
focus on affinity predictions. Participants agree blind prediction is
the purpose of SAMPL and not to attempt to circumvent this purpose.
It is likely that the organizers will prepare one or more publications detailing overall results of SAMPL, and the ancillary data may be used in preparing this publication (for example, we might compare and contrast successful methods). Contributors retain the right to publish separately on their results and methods.
