Source party
Share the original work
Submit author and contact details, documentation, code, data descriptions, data links where available, data sharing possibilities, and links to the related abstract, preprint, or paper.
OHBM Open Science SIG
A collaborative challenge connecting source and reproducing teams to strengthen transparent neuroimaging science.
The OHBM-OSSIG Reproducibility Challenge is a networking experience facilitated by the Open Science SIG, aiming at improving the reproducibility of scientific results.
Participants join forces in teams of two parties: a source party and a reproducing party. The source party provides a submitted OHBM abstract, procedures, code, and data when possible. The reproducing party independently re-runs or extends the analysis.
Source party
Submit author and contact details, documentation, code, data descriptions, data links where available, data sharing possibilities, and links to the related abstract, preprint, or paper.
Reproducing party
Register expertise and interests so OSSIG can support team formation. Teams do not need to arrive pre-formed.
The specific type of reproduction is determined by the availability of the original data.
Running the same analysis on the same data.
Running the same analysis on independent data.
Adapted from The Turing Way Community. Original illustration created by Scriberia with The Turing Way community, used under a CC-BY 4.0 licence. DOI: 10.5281/zenodo.3332807
Both source and reproducing parties register by opening an issue on the OSSIG GitHub page and selecting their role in the template.
Submit an OHBM 2026 abstract or register your reproduction expertise.
OSSIG supports team formation based on expertise and interests.
Teams may hold one brief introduction meeting to clarify scope and logistics.
Teams are formed and confirmed during or shortly after the meeting.
Established teams reproduce or replicate the source work using available procedures, code, and data.
Teams are invited to collaboratively submit an abstract describing results to both the OHBM abstract portal and OSSIG.
OSSIG hosts a dedicated session to present teams and reflect on what was learned.
Outcomes are evaluated based on how closely replication matches the original work, the transparency and openness of the source work, and additional outputs such as software or publications. Unsuccessful attempts do not reflect negatively; learning through the process is the main outcome.
This challenge is inspired by the Reproducible Research Study Group of ISMRM.