The OECD will publishing a comprehensiv

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asimd23
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The OECD will publishing a comprehensiv

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An additional potential use of SDMX-RI is to make Resource Description Framework (RDF) queries on the data possible via a web service. The model underpinning the RDF Data Cube vocabulary is compatible with the cube model that underlies SDMX, therefore SDMX can be “translated” into RDF. ISTAT have done proof of concept work on this with census data, thereby opening the possibility of taking .Stat into the realm of the Semantic Web and Linked Data dissemination for open data.

In addition to these SDMX initiatives for .Stat, other mexico rcs data topics discussed included the introduction of an open search engine, support for very large datasets, and an analysis of the web data browser. All these developments will keep the Architecture Task force busy over the coming months until the next workshop.


So, what do we plan to do with these data?


Our team of experts at the UK Data Service plan to use an Apache Hadoop cluster to store the data and use it to create data visualisations, data products and potentially match it with weather data and fuel poverty data. The only way this can be achieved is to ensure that the data sources include sufficient metadata – where standardised and widely-used definitions of geographic and socio-economic categories have been used across the data sources so they can be matched by Acorn group (a classification of residential neighbourhoods ), local authority and Nomenclature of Units for Territorial Statistics (NUTS) areas (a hierarchical system for the classification of spatial units). The team will also use recognised coding schemes that are easy to match across datasets.
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