Building on the foundation of NeuroLibre Reproducible Preprints, the Evidence Publication Platform is committed to advancing reproducible academic publishing.
Towards a networked, woven literature¶
What remains of a publication when we remove the prose?
In traditional literature, we’re left with a PDF containing isolated figures and citations that serve mainly for credit. For a more entertaining perspective, see this blog post.
In the woven literature, what remains is the actual code, data, and meaningful portions of other publications that truly contribute to the work.
Whether we call it woven literature or networked open science publishing, next-generation scholarly publishing is already here to make the future of science continious.
TBE.
What sets Evidence apart?¶
Since 2017, our goal has been to empower researchers to share their work in formats that go beyond traditional PDFs. While our technology has progressed, our dedication to this mission remains unchanged:
Team members
Evidence is developed by academics with firsthand experience, providing insight into the challenges of scholarly publishing.
Non-profit
Evidence operates as a non-profit, supported by research grants and hosting from the Digital Research Alliance of Canada.
Open-source infrastructure
Evidence’s technology stack is publicly available and built on open-source projects like JOSS, Project Jupyter, and Executable Books.
What does Evidence publish?¶
For more information, explore the types of preprints you can submit to Evidence.
What about Peer Review?¶
Our publication process includes basic moderation and technical screening.
Although Evidence does not assess the scientific merit of submissions as a preprint platform, it is integrated with numerous post-publication peer review platforms (distributed peer review) via the COAR-notify protocol.
- Karakuzu, A. (2025). Toward a woven literature: Open-source infrastructure for reproducible publishing. 10.55458/neurolibre.00041
- Kardassevitch, L., Burchielli, D., Dancause, N., & Bonizzato, M. (2025). NeuroMOSAICS: A collection of neurostimulation datasets - Multi-scale Open-Source Across Interfaces Conditions & Species. 10.55458/neurolibre.00033
- Archibald, J., Weber, A. M., Scheuren, P. S., Ortiz, O., Choles, C., Lee, J. J., Zölch, N., MacMillan, E. L., & Kramer, J. L. K. (2024). Integrating Structural, Functional, and Biochemical Brain Imaging Data with MRShiny Brain - An Interactive Web Application. 10.55458/neurolibre.00029