A prototype Python, utility called ncskosdump, which wraps the ncdump netCDF reading tool and adds a series of options for the retrieval and display of Linked Data that the tool is able to extract from a netCDF file, including links to vocabulary terms. The tool is presented in a code repository using the Git distributed version control system.

<div>Geoscience Australia's geoscientific relational databases use look-up tables to describe the data stored within. These look-ups contain, but are not limited to, information about boreholes, field geology, inorganic and organic geochemistry, hydrochemistry, geophysics, rock properties, samples and other general geological terms. These terms have then been compiled into a vocabulary of terms for publication via GA's vocabulary service. Within this vocabulary, GA references where sourced terms are published in external vocabularies with a source vocabulary URI (Uniform Resource Identifier). </div><div><br></div><div>All vocabularies, collections of concepts within vocabularies and individual concepts are identified with URI persistent identifiers of the form:</div><div>http://pid.geoscience.gov.au/def/voc/ga/{VOCABULARY-KEY}/{COLLECTION-OR-CONCEPT-NAME}</div>

This the top-level collection record for all of Geoscience Australia's public vocabularies. The vocabularies are all formulated using the SKOS (Simple Knowledge Organization System) information model and delivered both as machine-readable Resource Description Framework (RDF) data and also as HTML web pages. Each vocabulary is delivered individually as RDF & HTML data and all vocabularies are linked to from both GA's vocabularies index static web page and also from the Australian National Data Service (ANDS)'s Research Vocabularies Australia (RVA) portal. All vocabularies, collections of concepts within vocabularies and individual concepts are identified with URI persistent identifiers of the form: http://pid.geoscience.gov.au/def/voc/ga/{VOCABULARY-KEY}/{COLLECTION-OR-CONCEPT-NAME} This means that you can access all the information about a vocabulary, a collection or a concept directly by entering that URI into your web browser.