---
title: "LinkML to Synapse Registered Schema"
slug: "linkml-to-synapse"
type: recipe
locale: en-US
canonical: "https://www.coremodels.io/recipe/converter/linkml-to-synapse"
updatedAt: "2026-08-27T01:42:16+03:00"
---

# LinkML to Synapse Registered Schema

The LinkML-to-Synapse toolchain every DCC currently hand-builds, with the subset losses declared.

LinkML is where serious DCC data modeling is heading, the NF metadata dictionary proved the pattern, but there is no supported LinkML-to-Synapse toolchain: each team hand-builds its own compile-register pipeline and re-derives Synapse's draft-07-subset quirks alone, a gap made urgent by schematic's 2026 sunset. This recipe is that toolchain, generalized: import a LinkML schema (classes, slots, enums with ontology meanings) as governed Types and Elements, then export the Sage Bionetworks Synapse profile: the draft-07 subset Synapse's JsonSchema REST object actually models, with a registered-schema $id composed as {org}-{name}-{semver}. Constraints Synapse cannot carry are declared in the lossiness ledger instead of quietly evaporating on registration; unconfirmed wire behaviors are recorded as lossiness pending Sage fixtures rather than guessed. synapse is encode-only: its output is plain draft-07 JSON Schema, re-importable via the jsonschema key. Companion curation-manifest and dictionary CSVs (value sets from governed taxonomies) come from the generate_synapse_manifests MCP tool.