There are two broad classes of product we envision:
These tools are designed to integrate across the network of data hosting facilities to facilitate data sharing, use, and discovery.
While images often "know" their metadata, it is up to the researcher to manage the extra information about the subject of the data, the experiment, and the analysis. ReproNim is developing a tool that helps researchers manage, track and transmit information in a comprehensive format.
Researchers have many computational options for performing their analysis (Desktop, HPC, cloud, etc.). ReproNim is developing solutions that lets users select, describe and transmit their computational solutions along with their results. In addition, given a computational description, ReproNim tools can enable precise re-creation of a described environment.
Our Educational Objectives include:
Our initial (Phase 1) curriculum focuses on the developer in order to initiate a set of tools that are reproducibility-enabled. Future curricula will extend the reach of these materials to encompass a broader community of researchers.
Note: There will be a Reproducible Neuroimaging Training Workshop held just prior to the Society for Neuroscience meeting in Washington DC, November 10-11, 2017. See https://tinyurl.com/repronim-sfn17 for more details.