ReproNim: A Center for Reproducible Neuroimaging Computation
(Discover, Replicate, Innovate)Repeat
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Welcome to ReproNim!

The goal of ReproNim is to help neuroimaging researchers to:
  • Find and Share data in a FAIR fashion (discover)
  • Comprehensively describe their data and analysis workflows (describe), and
  • Manage their computational resource options (do)
so that the outcomes of neuroimaging research are more reproducible.
Achieving these goals requires both technical development of readily accessible, user-friendly computational services (discover, describe, and do functions) that can be readily integrated into current research practices, and broad educational outreach about reproducibility (teach) to the neuroimaging community at large including developers as well as applied researchers across basic sciences and clinical disciplines.


Technology and Resource Development


There are two broad classes of product we envision:

  • Tools to help researchers Publish their data
  • Tools to help researchers Discover published data.

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:

  • Topical training in the overall issues that affect the reproducibility of neuroimaging research (data acquisition and characterization, experimental methods, analyses, record keeping and reporting, reusability, and sharing of data and methods)
  • Development of a next-generation cadre of software developers that are versed in the techniques that promote reproducibility and education of the neuroimaging researcher in the tools that promote complete experimental description.

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 for more details.

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