Dataset Relationships

Submitted by daniel.brough on Tue, 15/12/2020 - 09:04

This is a vocabulary collection used by the Queensland Government to determine relationships between catalogued datasets. It is based on the DCAT qualified relation property https://www.w3.org/TR/vocab-dcat-2/#Property:resource_qualified_relation.

The vocabulary uses terms derived from Qualified Relations ISO-19115-DCTERMS and PROV-O.

It includes additional terms mentioned in PROV-O as the inverse of existing terms but not created as specific PROV-O items.

Queensland Government Information Security Classifications

Submitted by daniel.brough on Tue, 15/12/2020 - 08:57

This is a vocabulary collection used by the Queensland Government to determine the security classifications for the dataset. It is used by the dataset classification and access restrictions property. It is sourced from the Queensland Government Information Security Policy (IS18:2018) and the Queensland Government Information Security Classification Framework (QGSCIF).

DataCite Resource Types

Submitted by daniel.brough on Tue, 08/12/2020 - 08:51

Vocabulary of the Resource Types from the DataCite 4.1 metadata standard.

The vocabulary is built on one at http://registry.it.csiro.au/def/datacite/resourceType which is listed as experimental.

Imagery

Submitted by irina.bastrakova on Thu, 12/11/2020 - 19:30

ANZLIC’s Strategic Plan 2020-24 identifies modernisation of foundation spatial information and data1 as a key strategic initiative. 

The roadmap within ANZLIC’s Strategic Plan outlines modernising ANZLIC’s Foundation Spatial Data Framework (FSDF) as a key initiative, as well as driving development and adoption of open spatial data standards that align with and inform international standards. 

Water

Submitted by irina.bastrakova on Thu, 12/11/2020 - 19:27

ANZLIC’s Strategic Plan 2020-24 identifies modernisation of foundation spatial information and data1 as a key strategic initiative. 

The roadmap within ANZLIC’s Strategic Plan outlines modernising ANZLIC’s Foundation Spatial Data Framework (FSDF) as a key initiative, as well as driving development and adoption of open spatial data standards that align with and inform international standards.