Over the past month or so I’ve been working for IKM Emergent on a demonstrator project to explore the potential implications of linked data for information management in the development sector – seeking put a small sub-section of the survey micro-data from the Young Lives longitudinal study online in order to explore the process and potential of generating linked data in development-focussed settings.
The results of that project are now live and online for the time being, and accessible here. The most visually interesting part of the demonstrator (thanks to the work or Rupert Redington at NeonTribe) is the Comparator tool which does some pretty clever things to identify ‘Data Cubes’ in the Young Lives linked data dataset we’ve published, and to offer (in the case of the smoking prevalence data) comparisons between the Young Lives dataset, and another comparable dataset we’ve also loaded into our Young Lives datastore.
However, through the demonstrator we’ve also made the Health dataset from the Young Lives data available to browse via OntoWiki interface, and to query via SPARQL – exploring how linked data structures give us the opportunity to annotate the questions from the young lives data – potentially helping future researchers to find questions and data of interest to them,
The presentation below steps through some of the basics of Linked Data, before, from slide 13 onwards, introducing the Young Lives Data Demonstrator.
I’ll be sharing some more learning notes from the Young Lives Linked Data Demonstrator over on the open data impacts blog soon.