Open Data on the Web, 23 - 24 April 2013, London (Home)

Use the link to access more information about the upcoming event: "Whether your business has an open data strategy today, or you want to learn from global experts how to publish or consume open data, the World Wide Web Consortium (W3C), the Open Data Institute and the Open Knowledge Foundation invite you to join a discussion about realizing the promise of open data. Participants will help prioritize W3C's agenda in the area of data on the Web at a time when a number of working groups have either completed or are close to completing their charters. The Workshop, hosted by Google, is open to all and will take place in the heart of London’s Tech City of Shoreditch ... From Toronto to Taipei, from Washington to Wellington via Westminster, data hubs are being created by public bodies from single cities through to supra national organizations like the European Union and the World Bank. But it's not only public bodies. Away from the public sector there are community efforts like Open Signal and Open Street Map and, in retail, thousands of online retailers mark up their Web pages using the Good Relations Ontology creating a substantial pool of structured open data. schema.org has frameworks to incorporate health and medical data, events and creative works too. Linked Science is publishing scientific data and the campaign to see clinical trial data published is gaining significant support. Look for a camp site using PitchUp.com and you'll be able to see how they use a variety of data sources, some of which are open … the list goes on

As well the promises of government transparency and efficiency, the claim that is made most frequently of open data is that it is the "new oil" that is driving the digital economy. At this workshop, participants will discuss their experiences of realizing this aim and identify what's needed to make it easier. The main topics of the Workshop will be: [1] discoverability; [2] transformation (to other formats); [3] combinations of data from different models (e.g. linked data and CSV); [4] quality assessment and self-description; [5] extracting human-readable 'stories' from data..."