ISCC - Schema#
ISCC - JSON-LD Metadata and OpenAPI Service Descriptions
This repository hosts all schema definitions of the ISCC. Schemas are defined in OpenAPI v3.1.0 format and serve as a single source of truth for auto-generated JSON Schema definitions, JSON-LD contexts, and other schema related artifacts.
Metadata for Digital Content#
Metadata is data about data. For digital content, metadata may describe assets for different purposes such as data management, data provenance, allocation of royalties, indexing, disambiguation, process automation, etc.
Calculating ISCC codes requires extensive processing of media assets. As a by-product, an ISCC processor can automatically produce and retain metadata that describes the asset and helps with comparing and matching digital content. ISCC creation is also an opportunity to embed metadata into a digital asset. Once the metadata is embedded, an ISCC processor will automatically regenerate the same ISCC Meta-Code without manually supplying custom metadata for processing. As the ISCC targets a broad set of use-cases, it comes with a minimal and generic metadata schema. This site documents the ISCC metadata model.
Types of Metadata#
For the identification of digital assets, ISCC distinguishes between two major types of metadata:
Implicit metadata is data that can be measured by analyzing a media asset. For example, an ISCC processor can infer pixel width and height from an image or duration from an audio file. The use of implicit metadata is very efficient and robust. It does not require a human to verify the correctness of the data because it can be measured and verified automatically.
Explicit metadata is data about media assets assembled and curated by people. It is often stored separately from the files in databases but may also be embedded into media assets. In contrast to implicit metadata, human-curated metadata is prone to errors, laborious to manage, and often not up to date. Platforms also tend to remove embedded metadata from the files they are hosting.
Documentation is hosted at schema.iscc.codes
Under development. Expect breaking changes until we reach a version 1.0 release.
The source of code generation are the files at
The outputs produced when running
poe build are:
docs/schema/iscc.json- JSON Schema for ISCC Metadata
docs/schema/index.md- JSON Schema Markdown documentation
docs/context/iscc.jsonld- JSON-LD context for ISCC Metadata
docs/terms/index.md- ISCC Metadata Vocabulary documentation
iscc_schema/schema.py- Pydantic models for ISCC Metadata
iscc_schema/generator.py- Pydantic models for Generator Service API
The generated files are published under the following canonical URLs:
http://purl.org/iscc/schema- JSON Schema latest version
http://purl.org/iscc/context- JSON-LD Context latest version
http://purl.org/iscc/terms- ISCC Metadata Vocabulary latest version
http://pypi.org/project/iscc-schema- Python package with pydantic models
The OpenAPI Specification allows for
specification with custom fields. Extensions must start with
All ISCC extensions start with
x-iscc-context- for documenting JSON-LD contexts.
x-iscc-schema-doc- for original descriptions from schema.org.
x-iscc-embed- for information on how to embed fields into media assets.
x-iscc-status- for information about status of the field