A session on using open data in artistic works of various sources, led by Leela Collins.
Traditionally, we have infographics, where we take data and visualise it so people can understand it. And then there’s conceptual art, which gains some of its meaning from the original data source. Does that create a new work, or does it owe something to the data producer?
Data is becoming a tool, in the same way that brushes are.
And then there’s protest art, where the whole of the data is used to create the art. But if the data is licensed non-commercially, can the artist make money from the work? A full open data licence is free for reuse. However, a non-commercial licence on some data is somewhat ambiguous – is it just restricting resale of the data itself, or does it prevent it being used for anything commercial?
Continue reading Data Art: what are the limits and opportunities in data licensing for artists? →
Welcome to the 6th Open Data Camp, in Aberdeen. It’s a grey morning outside, but the campers are full of coffee and pastries and getting ready to pitch the sessions for day one.
Continue reading Open Data Camp 6: day one pitches →
Visualisation is a huge part of making data accessible – but do we run the risk of distorting the data by imposing a visual narrative on it? How do we visualise responsibly in our storytelling?
Continue reading Responsible data visualisation in our storytelling →
One of the first questions to come up on day two of Open Data Camp was “what is an API?” One of the last issues to be discussed was “what makes a good API?”
Participants were asked for examples of application programming interfaces that they actually liked. The official postcode release site got a thumbs up: “It was really clear how to use it and what I’d get, and I can trust that the data will come back in the same way each time.”
Continue reading What makes for a good API? →
For obvious reasons, people attending Open Data Camp 4 in Cardiff tend to think that creating, publishing, and analysing data is a good thing. But there is no doubt that data can be gathered, accessed, released and used for bad purposes.
Continue reading Open Data for Evil →
Controversially, Gavin Freeguard, head of data and transparency at the Institute for Government, was allowed a PowerPoint presentation at Open Data Camp 4. However, it was in a good cause.
His slides enabled him to give some concrete examples of the data in the Whitehall Monitoring Project, which he runs. The project monitors the shape and size of government, the morale of civil servants, and other factors.
Continue reading A tale of two datasets →
A joint session on both platform co-operative and joining together the unconference networks.
Continue reading Joining up the dots: platform co-operatives and content networks. →
If sponsorship is taken away – there must have been sponsorship before. So why does it go away? Understanding that might help.
Why we lose sponsorship
- Short attention spans
- Whitewashing, which they move on
- People over-promising, and the results not matching that.
The enthusiasm needs to be sustainable.
Continue reading Sustaining Senior Sponsorship →
Local government seems to be in a perpetual state of competition – while the most efficient use of resources would be to collaborate. So how could open data help facilitate that?
One attendee talked about formalised co-ordination roles. There have been some pockets of good stuff: the Cabinet Office nominated over a dozen councils as their open data champions, with some mixed results. Redbridge’s data sharing platform DataShare, part funded by the LGA, seems to be well-liked by those who have used it. Some other user authorities are using it – but it’s often not as well implemented as the Redbridge implementation.
Continue reading Better local government through open data →
Day two of Open Data Camp in Cardiff opened with another session on the basics. What is open data, who can use it and what is it useful for?
Also, going back a step: “What is data?” Session participants suggested that while the public or ‘newbies’ might equate data with statistics, ‘data’ was much broader than that. It might be the raw data – or numbers – on which the stats were based. But it might also be text, or photographs.
Continue reading What is data, open data… and what on earth is an API? →