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ReproNim: A Center for Reproducible Neuroimaging Computation

Welcome to ReproNim!

ReproNim's goal is to improve the reproducibility of neuroimaging science and extend the value of our national investment in neuroimaging research, while making the process easier and more efficient for investigators.

ReproNim delivers a reproducible analysis framework comprised of components that include:

  • data and software discovery
  • implementation of standardized description of data, results and workflows
  • development of execution options that facilitates operation in all computational environments
  • provide training and education to the community

All components of the framework are intended to foster continued use and development of the reproducible and generalizable framework in neuroimaging research. See our Blog Post for more discussion of ReproLake and ReproPond.

Data flow diagram

Breaking News

  • ReproNim will be at 2024 Society of Biological Psychiatry (SOBP) Annual Meeting, May 9-11, 2024 (JW Marriott, Austin, Texas)
    • SOBP BrainHack, May 7-8, 2024, University of Texas Austin (in person)
      • Join ReproNim faculty, collaborators, colleagues and friends for a two-day SOBP BrainHack event!
        • Hackathon: Open Collaboration on participant projects
        • Unconference: Presentations and Panel Content, organized on site by attendees
        • Learn: Basic software and Data Analysis Skills through live lectures, hands-on tutorials
        • Community Building: Meet, greet, socialize and network
      • Attendance is limited, register soon!
    • SOBP Conference Symposium, Thursday, May 9, 2024 (JW Marriott, Austin, Texas)
  • Applications are now closed for the 2024 Neurohackademy summer school program in neuroimaging and data science based at the University of Washington eScience Institute, Seattle. This is a two-week program offered in hybrid format, July 29 – August 10, 2024). ReproNim faculty and collaborators are long time participants in this program!
    • Applications no longer being accepted
  • Congratulations and a big Welcome to our new 2024 ReproNim/INCF Fellowship Program Awardees!
  • The 2023 Neuro-Irv and Helga Cooper Foundation Open Sciences International Prize was recently awarded to the Brain Imaging Data Structure (BIDS) as an impactful global community initiative driving international data standards for neuroimaging. ReproNim faculty member and BIDS Steering Committee member Yaroslav Halchenko represented BIDS at the 5th Open Science in Action Symposium (November 30, 2023 in Montreal, Canada)
  • Society for Neuroscience 2023 Annual Meeting, November 11-15, 2023
    • In-person at the Walter E. Washington Convention Center, Washington, D.C., (also includes a virtual component)
    • ReproNim faculty were there, including representation at the following exhibitor booths:
      • DANDI: Distributed Archives for Neurophysiology Data Integration (Booth #3316)
      • INCF: International Neuroinformatics Coordinating Facility (Booth #3323)
      • NIF: Neuroscience Information Framework (Booth #3417)
  • Center for Open Science, Virtual Event: "Helping Others Use Your Data: Lessons from the Field of Neuroscience"
    • Virtual Event, Wednesday, November 8, 2023 at 11am ET
    • Event Recording now available.
    • Speakers included ReproNim Faculty member David Keator and collaborator Karl Helmer
  • Join us for our 2023-2024 'First Fridays' ReproNim Webinar Series, at 2pm, Eastern Time
    • Webinars are held on the first Friday of every month during the academic year, from 2-3pm Eastern Time, and are open to the public.
    • Featured topics will include important efforts in reproducibility, from both ReproNim and others
      • Friday, June 7, 2024
        • ReproNim faculty member presentation by Yaroslav Halchenko and colleagues, details to be announced
        • Webinar presentations are open to the public, Register in advance for videoconference.
        • Video presentation and slides will be made available as soon as possible thereafter.
      • Friday, May 3, 2024
        • ReproNim faculty member JB Poline (McGill) addresses the question of How should the next generation of neuroinformatics be developed?
        • Video presentation is now available.
      • Friday, April 5, 2024
        • ReproNim team member Yibei Chen discusses current work on the ReproSchema project ( Satra Ghosh, PI) with a presentation on "ReproSchema: Enhancing Research Reproducibility through Standardized Survey Data Collection.”
        • Video Presentation is now available.
      • Friday, March 1, 2024
        • ReproNim faculty member Jeffrey Grethe (UCSD) discusses the integrated application of ReproNim principles/methodologies with the NeuroImaging Data Model (NIDM) specifically in support of the FAIR principles of interoperability and reusability of datasets: ReproNim and NIDM: Putting the (I)nteroperability and (R)eusability in FAIR.
        • Video Presentation is now available.
      • Friday, February 2, 2024
        • Nikola Stikov (University of Montreal) discusses NeuroLibre and various aspects of publishing to include essential materials for reproducibility, in his presentation on NeuroLibre Reproducible Preprints: Going Beyond the PDF.
        • Video Presentation is now available.
    • ReproNim Office Hours Program Drop-In for virtual Office Hours on the First Thursday of each month at 1pm Eastern Time, or contact us anytime by email at to schedule a session.
      • Do you have a reproducibility question, challenge or problem?
      • ReproNim faculty are available to provide support and guidance on implementation of reproducibility principles and technologies in your work.
      • Open to all levels of user, whether you are new to reproducibility methods or an established investigator.
      • Office Hours Drop-In Sessions at 1pm Eastern Time
        • Thursday May 2, 2024 Cancelled
          • Virtual Drop-in Office Hourse are cancelled this month, but please contact us if you would like to schedule an appointment, we will gladly arrange a time.
        • Thursday June 6, 2024
      • Sessions are accessible via Gathertown meeting space:
        • If you are new to Gathertown you will be prompted to join (which involves creating a username and password) and an avatar will be created for you that allows you to navigate the space. Upon entering, look for 'ReproNim Dave' in the 'attendees' list on the left, and follow, find, or message him.
    • The 2022 ABCD-ReproNim Course has ended. However, lectures and course materials are still publicly available, see our News Archive for details.
    • See our ReproNim problem solving series: How would ReproNim do that ?!
    • For a ReproNim Overview, see our paper: The ReproNim Perspective on Reproducible Neuroimaging

    See our ReproNim Publications

    News Archive

    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.

Read more.


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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