Learn about the Data Summit Brussels and Ontotext's presentation.
This week, The ODI, which Ontotext supports from their start, held their second Summit with prominent speakers such as Sir Tim Berners-Lee, Martha Lane Fox and Sir Nigel Shadbolt, plus a range of speakers from business, government, the arts, startups and charities.
Open data is data that anyone can access, use or share. Simple as that. When big companies or governments release non-personal data, it enables small businesses, citizens and medical researchers to develop resources which make crucial improvements to their communities.
The infrastructural investments are government priority when we speak about railways, motorways or utility supply networks. Internet distribution, however, was initially done over private networks built by enthusiasts and small companies, before mobile operators considered it as an asset. What about Data as Infrastructure?
The digital agenda of the European Commission lists a number of Open Data portals and other initiatives. However, they use a wide variety of formats for data representation and access.
“The effort on Open Data shouldn’t stop with opening data” was an important point made by Hetan Shah, Executive Director at Royal Statistical Society. The Royal Statistical Society published a “Data Manifesto” in September 2014. It describes ten recommendations and focuses on how the UK government can improve data for policymaking, democracy and for prosperity.
The UK government’s response is their commitment to “Making data a public asset through infrastructure”. Matt Hancock, the Minister for the Cabinet Office and Paymaster General, in made a clear commitment to quality and usefulness of Open Data:
This starts with the dog-fooding principle… In short, one of the best ways to make sure our open data is of high quality is if we use it in our day-to-day operations.
The ODI’s is committed to bringing awareness and consideration to Open Data and its role in the data spectrum. Then it’s important to discuss three types of data:
Another take on the data classification was presented by Accenture‘s Jen Hawes-Hewitt. She emphasized the role of all three origins of data:
Earlier this year, MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) announced that it has received a $1 million gift from MasterCard that will go towards the research efforts of Tim Berners-Lee, inventor of the World Wide Web.
Right now we have the worst of both worlds, in which people not only cannot control their data, but also can’t really use it, due to it being spread across a number of different silo-ed websites
The concept of Linked Data as infrastructure for Open Data was coined around 2006 again by Tim Berners-Lee, at that time director of the World Wide Web Consortium (W3C). As linkeddata.org (the single reference point to datasets available as Linked Data) claims, there are 570 datasets available currently around three most connected ones, namely:
Linked Data is the recommended best practice for exposing, sharing, and connecting pieces of data, information, and knowledge on the Semantic Web using unique identifiers (URIs) and W3C standards for data representation (RDF) and data access (SPARQL).
UK Government already considered Linked Data as the approach for opening datasets. Shell it be applied to all Open Data initiatives, we’ll see!
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