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.github/workflows/release.yaml

linked-spending (development version)

This is a subset of the LinkedSpending dataset (LS package 2013-9), which contains government spending information from around the world. The dataset uses the RDF Data Cube vocabulary. Only the spending observations were kept in this subset, extra contextual information was discarded. See the website and the paper for more details.

This README is a snapshot of documentation for the latest development version of the dataset. Full documentation for all versions can be found on the website.

General information

Technical metadata

  • Has stream type usage:
    • RDF stream type usage (1)
      • Type: RDF stream type usage (stax:RdfStreamTypeUsage)
      • Comment: The dataset can be viewed as a stream of graphs corresponding to statistical observations or other subjects (e.g., statistical properties). Each graph is uniquely identified by its subject IRI. (en)
      • Has stream type: RDF subject graph stream (stax:subjectGraphStream)
    • RDF stream type usage (2)
  • Has stream element count: 2,477,552
  • Has stream element split:
    • Type: Stream elements split by topic (rb:TopicStreamElementSplit)
    • Has subject shape:
      • Has subject shape (1)
        • Target subjects of: Label (rdfs:label)
        • Comment: Some elements have their class missing. (en)
      • Has subject shape (2)
        • Target subjects of: Type (rdf:type)
        • Comment: Target instances of any class. (en)
    • Comment: Each stream element corresponds to one subject (usually an observation). (en)
  • Uses vocabulary:
  • Conforms to W3C RDF 1.1 specification: yes
  • Conforms to W3C RDF-star draft specification as of December 17, 2021: yes
  • Uses generalized triples: no
  • Uses generalized RDF datasets: no
  • Uses RDF-star: no

Distributions

Full stream distribution

Full Jelly distribution

Full flat distribution

1M elements stream distribution

1M elements Jelly distribution

1M elements flat distribution

100K elements stream distribution

100K elements Jelly distribution

100K elements flat distribution

10K elements stream distribution

10K elements Jelly distribution

10K elements flat distribution