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ReproNim: A Center for Reproducible Neuroimaging Computation

Welcome to ReproNim!

The ReproNim vision is to 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 precisely replicable fashion (describe research processes with ReproIN and BrainVerse)
  • Manage their computational resource options (do analysis with NICEMAN)

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

  • ReproNim Tools Currently Featured on the Big Data U's website! Link
  • Society for Neuroscience Events:
    • SfN Neuroinformatics Social, Tuesday November 6, 2018. Link
    • SfN Workshop FAIR Neuroscience: Sharing and Collaborating for Reproducible Neuroscience, November 5, 2018. Link
    • SfN Worskhop How a Journal Handles Your Paper, including Reproducibility Issues, November 4, 2018. Link
    • Reproducible NeuroImaging Training November 2-3, 2018, before SfN: Link
  • 5 Steps to Reproducible Neuroimaging Draft here
  • OHBM Hackathon TrainTrack: Link
  • OHBM Sunday All-day Hands-On Training Course in Reproducible Neuroimaging: Link
  • Slides from the SOBP 2018 symposium Reproducibility in Psychiatric Neuroimaging: Big Data for Big Problems posted here: Link.

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.

Discover

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.

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Describe

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.

Do

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 NICEMAN 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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Teach

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.

Community

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 info@repronim.org. Someone from ReproNim will be in touch to see how we can work together.

Community events

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Contact

Email us at info@repronim.org

Read our blog at https://repronim.wordpress.com/

Find us on Twitter at @ReproNim