Location
School of Law Seminar Room 3.10
Start Date
4-6-2026 11:30 AM
End Date
4-6-2026 12:00 PM
Description
Scientific communication remains bound by legacy formats designed for print, even as research itself has become computational, collaborative, and continuous. The Open Exchange Architecture (OXA, https://oxa.dev), is a community-driven schema and specification for representing scientific documents as structured, interoperable JSON. Developed in collaboration/participation with projects such as Jupyter, MyST, Stencila, Curvenote, Posit (Quarto), openRxiv, PLOS, eLife, Octopus, Creative Common, and the Continuous Science Foundation, OXA defines typed, linkable nodes (text, math, code, figures, metadata) that together form a shared “bedrock” for interoperable, modular, machine-readable, and executable research.
OXA allows for the exchange of scientific content across authoring environments (MyST Markdown, Quarto, Stencila, Curvenote, LaTeX, Jupyter, etc.) while preserving structure, metadata, and provenance. It enables modular reuse of components—figures, datasets, methods, protocols, and code—supporting the sharing of these research products and computational reproducibility by design, not as an add-on. This talk will demonstrate how OXA’s schemas make it possible to connect computational narratives across authoring tools, repositories and journals, validating the idea that the next generation of scientific publishing should be built on open, machine-readable foundations.
For example, instead of flattening a Jupyter Notebook with interactive microscopy images, code and data tables, OXA allows interactive content and a reproducible bundle to be shared directly. This improves the reading experience for researchers, captures reproducibility, and provides necessary context for both humans and new AI workflows.
Participants will see examples of cross-tool interoperability, embedded computation, and modular licensing, and will be invited to join the working group developing the shared specification and validator tools.
Included in
OXA: An Open Exchange Architecture for Modular and Computational Scientific Content
School of Law Seminar Room 3.10
Scientific communication remains bound by legacy formats designed for print, even as research itself has become computational, collaborative, and continuous. The Open Exchange Architecture (OXA, https://oxa.dev), is a community-driven schema and specification for representing scientific documents as structured, interoperable JSON. Developed in collaboration/participation with projects such as Jupyter, MyST, Stencila, Curvenote, Posit (Quarto), openRxiv, PLOS, eLife, Octopus, Creative Common, and the Continuous Science Foundation, OXA defines typed, linkable nodes (text, math, code, figures, metadata) that together form a shared “bedrock” for interoperable, modular, machine-readable, and executable research.
OXA allows for the exchange of scientific content across authoring environments (MyST Markdown, Quarto, Stencila, Curvenote, LaTeX, Jupyter, etc.) while preserving structure, metadata, and provenance. It enables modular reuse of components—figures, datasets, methods, protocols, and code—supporting the sharing of these research products and computational reproducibility by design, not as an add-on. This talk will demonstrate how OXA’s schemas make it possible to connect computational narratives across authoring tools, repositories and journals, validating the idea that the next generation of scientific publishing should be built on open, machine-readable foundations.
For example, instead of flattening a Jupyter Notebook with interactive microscopy images, code and data tables, OXA allows interactive content and a reproducible bundle to be shared directly. This improves the reading experience for researchers, captures reproducibility, and provides necessary context for both humans and new AI workflows.
Participants will see examples of cross-tool interoperability, embedded computation, and modular licensing, and will be invited to join the working group developing the shared specification and validator tools.