Collaboration is fundamental to genomics; many publications are only made possible by interdisciplinary groups of researchers each bringing their unique skill sets to the table. For instance, a typical cancer research program involves physicians collecting tumor samples, biologists experimenting on the wet bench, sequencing facilities producing -omics data, tool developers applying their tools to the data and building workflows, bioinformaticians executing analyses and optimizing protocols, and, of course, PIs overseeing the project. This basic scenario becomes far more complex when multiple institutions are involved, emphasizing the need for practical and secure collaboration tools.
The CGC provides an intuitive collaboration environment, supporting teams to work together on projects. You can invite collaborators to your project by assigning them fine-grained control permissions so that they have as much or as little access to the project resources as you choose. For instance, you can allow collaborators to execute analyses or limit their access to view results only.
Several public datasets, like TCGA, include Controlled Data that should not be distributed to unauthorized persons. To help you ensure the security of your projects with Controlled Data, these are locked by default and can only be shared amongst users with Controlled Data permissions. We encourage you to read the dbGap data sharing policies before you share data with your collaborators.