Beyond the data
Description
Data is something we have been working with before it became mainstream a few years ago. We have many projects using data but what are the challenges once you have the data? Using the prototype Channelography (http://channelography.rattlecentral.com/) we will explore the challenges and dangers of collecting data and trying to make meaning of it.
Why this speaker?
an Forrester heads up the BBC's Backstage, a developer/designer network like no other. His role as head of BBC Backstage includes working with internal and external developers/designers to express their creativity through BBC feeds and APIs. Backstage makes available as much BBC data as possible for any member of the public to republish, remix and mash-up under a non-commercial license.
Ian is also well known for geek social events, including London Geekdinners, BarCampLondon, Hackday, Mashed, Edinburgh TV Un-Festival and Over the Air. He now lives in Manchester, UK where he works for the BBC's R&D department where he focuses on open innovation and new opportunities via lively engagement and outreach.
Previously a founder of the dataportability.org group and advocate for the XML technologies, Open Standards and the Commons, he still finds time to blog regularly about a whole mixture of topics at his personal blog cubicgarden.com.
Ian is also well known for geek social events, including London Geekdinners, BarCampLondon, Hackday, Mashed, Edinburgh TV Un-Festival and Over the Air. He now lives in Manchester, UK where he works for the BBC's R&D department where he focuses on open innovation and new opportunities via lively engagement and outreach.
Previously a founder of the dataportability.org group and advocate for the XML technologies, Open Standards and the Commons, he still finds time to blog regularly about a whole mixture of topics at his personal blog cubicgarden.com.
Questions answered
What to do with all that data?
What are the challenges of making meaning of data?
How to communicate with people using data?
What are the challenges of making meaning of data?
How to communicate with people using data?
