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ReproNim: A Center for Reproducible Neuroimaging Computation

Welcome to ReproNim!

The ReproNim vision is to help neuroimaging researchers to:

  • Find and Share data in a FAIR fashion (discover resources with NeuroBLAST)
  • Comprehensively describe their data and analysis workflows in a precisely replicable fashion (describe research processes with ReproIN and BrainVerse)
  • Manage their computational resource options (do analysis with ReproMan)

so that the outcomes of neuroimaging research are more reproducible.

Data flow diagram

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.

Breaking News

  • Introducing our ReproNim problem solving series How would ReproNim do that ?!
    • In this series, we will look at a number of real world analytic, computational, data capture, management and data sharing problems in neuroimaging research.
    • In our first installment Volume 1: How Would ReproNim Do a Local Container Analysis we we consider how to run a container-based analysis on a neuroimaging data set, using a local computer. Given the ReproNim goal of performing this analysis in a reproducible way so that someone else could do the same thing, we discuss a ReproNim approach to this task.
  • We're excited to announce the second year of our ReproNim/INCF Training Fellowship!
    • Applications for the 2020-2021 year are now under review. We anticipate completing the review process by the end of February.
  • Announcing the new ReproNim Webinar Series, ‘First Fridays’ at 2pm, Eastern Time
    • Friday, March 6, 2020 at 2pm EST
      • ReproNim investigator JB Poline discusses "How Do I Teach or Learn Reproducible Neuroimaging?"
      • Zoom Meeting: Register in advance to receive a confirmation email with instructions on how to join the meeting
      • [video conference open to the public] Session will also be recorded for those unable to join
    • Friday, February 7, 2020 at 2pm EST
      • ReproNIm investigator Jeff Grethe introduces InterLex in his presentation "Damn it Jim, I am a researcher not an ontologist: Exploring and using terminologies"
      • Both the Video Presentation, and Slides are now available
    • Friday, January 3, 2020 at 2pm EST
      • ReproNim investigator Dorota Jarecka presents "Testing scientific workflows with Testkraken"
      • Both the Video Presentation and Slides are now available
    • Friday, December 6, at 2pm EST
      • ReproNim investigator Yaroslav Halchenko and colleagues present "Taking Control of your DICOM Data: ReproIn/Heudiconv Tools"
      • Both the Video Presentation and Slides are now available!
    • Join us on the first Friday of every month, from 2-3pm Eastern Time
    • Featured topics will include important efforts in reproducibility, from both ReproNim and others
  • New Publication: The ReproNim Perspective on Reproducible Neuroimaging

News History

Use cases

ReproNim tools and services are intended to support a wide range of users with varied background, from applied users with minimal or extensive experience in image analysis, physics, and computer science to technology developers and software engineers.

Read more.


On-demand access (discovery) for widely distributed web-based data, publication and software resources, with highly refined search tools. There are two broad classes of product we envision:

  • Tools to help researchers Publish their data, making it discoverable
  • Tools to help researchers Discover published data.

These tools are designed to facilitate data sharing, use and discovery. ReproNim is developing an integrated application, NeuroBLAST, that will powerfully enable user-specified search and publish functions to data repositories, published studies, versioned software packages, study-related questions, and content.

Read more.


Reproducible description based on recording, reporting, and reusing experimenter procedures from start to finish. Machine-captured experimental metadata from scanner (data acquisition) to methods, analyses, and results.

  • Tools to help researchers record (describe) experimental procedures
  • Tools to help researchers define and semantically describe workflow.

ReproNim is developing BrainVerse to help researchers manage, track and share information in a comprehensive format.

Read more.


Efficient management of data and scripts while capturing the history and details of changes and analyses execution in a fashion that facilitates inspection, comparison, modification, sharing, and re-execution. We provide

  • Support, maintenance, and promotion of platforms (e.g., NeuroDebian) and tools (e.g., Singularity and DataLad) for efficient and reproducible computation and data management
  • Tools and materials to establish reproducible computation across all stages of the neuroimaging research

ReproNim is developing ReproIn framework for turnkey collection of BIDS datasets straight from the scanner, and ReproMan to help researchers track and manage computation resources that they have available and to use them in a reproducible and scalable way.

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An increasing body of evidence point to some issues in reproducibility in biomedical or life sciences. The issue of lack of reproducibility has been now described in several scientific domains and for several years, raising concerns in the scientific community. ReproNim has developed a curriculum that will give researchers the information, tools and practices to perform repeatable and efficient research and a map of where to find the resources for deeper practical training.

Read more.


We have many tools designed to help the user work through a more reproducible version of their data analysis tasks. These toold support areas such as Data processing, Data ingestion, Standardization, Search, Data Management, Computation, Testing, etc.

Read more.


ReproNim is only as successful as the neuroimaging community itself. We encourage active participation and engagement in our efforts. See our current community collaborator and service projects.

Join us! If you have a project that could benefit from a collaborative relationship with ReproNim let us know your interests and needs via email at Someone from ReproNim will be in touch to see how we can work together.

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