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The Missing Link: Giving Statistical Data Meaning

Presenter 1
Paul A Murphy
ESDS University of Manchester

Statistical data are a valuable research resource, however they are usually contained in discrete datasets, disconnected from the people, places and things they describe. This can make finding, accessing and using statistical data a difficult and time-consuming process. This presentation will show how ESDS International, a specialist service of the Economic and Social Data Service which disseminates and supports aggregate and survey international datasets for the UK academic community, has begun to address this problem by using semantic technologies to expose the World Bank World Development Indicators as Linked Data. We will look at the benefits to be gained from exposing statistical datasets to the web of Linked Data, using the World Development Indicators as an example of how linking to other datasets can lower the barrier to usage of statistical data and increase the utility of a dataset. Finally, we will examine the process of exposing statistical datasets as Linked Data, looking specifically at the Data Cube Vocabulary, a framework which has been created to enable the publishing of statistical information as Linked Data, and showing how this relates to and can be used with SDMX, the main standard for dissemination of aggregate statistical data and metadata.

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