Contents
Platforms continued
Data Discovery/schema.org (Doug, DanBri)
History & context of schema.org
Approach based on
- web-pages (dataset landing pages) with embedded JSON
- sitemap for deep sites
Principles and practices are the infrastructure
Spatial metadata (SteveR, SimonC)
Geographic identifiers and reference systems - place-names, coordinates, topological relations
Range of expertise and understanding ranging from geography professionals through to users
Supported in various
- specialised geographic metadata schemas (ISO, schema.org, STAC, FGDC, ...)
- general-purpose metadata schemas (DCAT v2)
Potential work groups
- Data for an SDG indicator e.g. Infant mortality, social exclusion
- DRR - risk/hazard maps -
- data quality - provenance requirements (see 8.)
- potential for developing a common risk/hazard ontology; applied to different use-case using design patterns? (also see 4.)
- Systematizing & sustaining data collections over a network of data providers
- recommendations/practices for building and maintaining vocabularies and ontologies - start with DRR vocab + hazards ontology
- practices (library?) for data harmonisation & cleaning - ranges, units
- recommendations/practices for bridging between vocabularies & ontologies (combine with 4.)
- Variables/observable properties (important for data discovery) (survey and manifesto?) - DDI variable cascade + EnvSci I-ADOPT + schema.org VariableMeasured
- Data quality/provenance challenges - write recommendations
- Transparency in data → information → knowledge → action chain (related to provenance 8.?)