Friday Lunchtime Lectures: Big Data Week Special – Data as Culture
The Churchill Rooms
100 Parliament St
#odifridays #bdw13 @ukodi
Catalyse the evolution of open data culture to create economic, environmental and social value.
The open web is the most successful information architecture in history. “Vague but interesting.” – Tim burners lee.
Ellie Harrison – vending machine
UK helped pioneer computing in the 80s and 90s. Showed the power of computing could be.
Stanza – body : quantified self
Phil Archer : three flames ate the sun and big stars were seen. 3000 years of data brought to life.
La societe anonym : the SKOR Codex – how are we going to pass on information through generations.
Gros and Clerc : Metrography
Martin John Callanan : Text Trends (google)
Countries that support open data
MacArthur research network
Semiconductor : 20hz the sound of solar wind visualised. Take perceptions and re-imagine
Hack4health, midata, devcsi, odug and ICT reform.
Virgin media to make data open that is just sat there unused. To see what others will do with it to save R and D
Ben Garrod : still life’s and Oscillators 1
Open knowledge foundation, Mysociety
Engaging and training the next generation, we don’t have the spectrum now but maybe the raspberry pi.
Fabio lattanzi. Obelisk. Smart material changes its density based on search terms. Linked to significant issues such as genocide and crimes against humanity.
Open data can help address some of the greatest challenges of our time and generate value* for everyone. Value = economic, environmental and social
Combine health care professionals with data miners and mash them together to realise the potential of medical data.
If you consume open data you must produce open data. The insights, quality of service and relationships are the business case. Not the data itself. SLA.
Locatable : startup on location based data.
Postcode data is not open but it should be as its generation potential for profit is huge. Government example of going back on its open data word.
There can be dogma embedded in codified structures which you can not see and it should be considered.
Good provenance of data. Publishing methods and sources. Might not be malicious could just be bad management.
Open data certificate.