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The volume of the instance will be dependent on variables such as the size of the input files and the generated output files. If running a model-to-data challenge, Docker images should also be taken into account. On average, participants will create Docker images that are around 2-4 GB in size, though some have reached up to >10 GB. (When this happens, we do encourage participants to revisit their Dockerfile and source code to ensure they are following best practices, as >10 GB is a bit high).
Using Sensitive Data
Synapse has the ability to apply access restrictions to sensitive data (e.g. human data), so that legal requirements are met before participants can access it. If human data are being used in the Challenge, or if you have any questions about the sensitivity of the Challenge data, contact the Synapse Access and Compliance Team (act@sagebase.org) for support with the necessary data access procedures.
If data is sensitive and cannot be hosted on Synapse (e.g. it cannot leave the external site or data provider), please provide a remote server with (ideally) the following:
Support for Docker and, if possible,
docker-composeIf Docker is not allowed, then support for Singularity and Java 8 is a mustrequired
SynapseWorkflowOrchestrator repository
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