Development Roadmap

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Douglas Campbell edited this page Jun 23, 2016 · 2 revisions

Alpha release - July 2016 (internal prototype)

API infrastructure

Indexer extracts records from catalogue system and converts into JSON-LD data
ElasticSearch record store
REST application using Java shim
Kong API service management layer

Metrics

All catalogue and vocabulary records loaded as JSON-LD
80% of Te Papa fields mapped
Simple typing of records
Indicative resource endpoints
Simple querying

Beta release

All Te Papa fields mapped
Embedded object expansion
Granular record typing
All resource endpoints defined
Persistent IDs
Output formats: JSON, JSON-LD, XML, RDF/XML
Advanced querying (denormalised records stored in ElasticSearch)
API key registration and authentication
API documentation
Analytics

Internal release

Additional functionality to support Te Papa websites and onsite applications

Public release

Media delivery via API
Hypermedia links
Authentication options, e.g. OAuth
Rate limiting
Dev tools, e.g. interactive demo, SDKs

Future enhancements

Bulk export

Download options (TBD)
CSV output format
OAI-PMH

Data enhancement

Integrate external data, e.g. DBPedia, VIAF, LINZ
Industry-specific data formats, e.g. GIS ISO 19139
Alternative querying, e.g. geo bounding box
Access to restricted data for staff
SPARQL endpoint

Write

Writeable resource endpoints
Storage of UCD (User Contributed Data), e.g. transcripts
Personalisation, e.g. saved searches