Executable Research Articles (ERA)�reduce the burden on authors to publish discoverable content, and empower readers to explore and reuse latest research for their�own work.

Open source schema,�based on existing standards, tailored to capturing semantic information about research manuscripts.

�github.com/stencila/schema

Convert between file formats in a structured and machine readable way.��github.com/stencila/encoda

R MARKDOWN TO HTML

Built using native Web Components, ERA articles can grow to support domain specific interactions.

FUTURE-PROOF

The interface components are built for:

• Visually representing the Schema nodes in the browser
• Progressive enhancement
• Accommodating a growing library of Schema Node renderers for new ways of interaction with articles

FUTURE-PROOF

DISCOVERABLE CONTENT

Embed semantic information into HTML as machine readable data.

Generating structured data conforming to Schema.org allows Google, and other search engines, to parse documents and improve organic discovery.

HTML is just one of many supported formats, including PDFs.

DATA STRUCTURES & FORMATS

• Convert between RMarkdown, Jupyter Notebooks, JATS XML, Google Docs, Microsoft Word, and more.
• Open source allows for community extensions to support more domains.

Reproducible PNG

DATA STRUCTURES & FORMATS

Bridges the gap between reproducible documents and legacy formats:

• Static images and figures�containing code
• Generated by Encoda for non-executable file formats (Google Docs, Word, PDFs)
• Enables bidirectional conversion while preserving executable aspects.

Open and reproducible research�is critical for compressing time between doing research�and creating impact.