Tag Archives: Open Data

Making Open Data Camp matter – to local economies and more

What is the value to the local economy of open data – and open data unconferences? The wider benefit of open data to local economies is harder to quantify. There’s no E-MC^2 equation of open data benefit yet.

So let’s talk about unconferences, and Open Data Camp in particular.

 

Some organisers have a sense that it stimulates the economy, but no sense of how to measure that. There’s local sponsorship – so they’re expecting some return on that investment. It might be an opportunity to meet potential customers, or to improve their operational intelligence.

Corporate social responsibility is one reason people sponsor: it’s both a community benefit, but it also benefits companies to have a thriving open data ecosystem.

Continue reading Making Open Data Camp matter – to local economies and more

Whose data is it anyway?

The question of who data belongs to, and whether individuals can have a say in what happens to their data, tends to come up very quickly in some areas. Health, for example.

But there is a concern that the whole issue of data collection and use could become much more fraught with the arrival of the General Data Protection Regulation. This is an EU regulation, that is being incorporated into UK law at the moment, via the Data Protection Bill.

 

The GDPR will require organisations to think about the impact of projects on data privacy at an early stage and to appoint a data protection officer. It will introduce large fines for data breaches, tighten up rules on consent, and introduce some new rights; including a right to be forgotten.

The session heard this last right, introduced following a court case involving Google, could have a big impact on open data sets. Because if people remove themselves from datasets, they become less complete.

Continue reading Whose data is it anyway?

Impact of the private sector on demand

Open Data Camp 5, day two, opened with a discussion of the impact of the private sector on open data.

The session was led by Shelby Switzer, who explained she was interested in the subject because she worked for a company in the US [Healthify] that uses a lot of open data about social issues and services.

The problem: “We find the data sucks and we have to put a lot of effort into making it better,” she said. “So, I want to talk about how we get the providers to do better.

“Also, how to prove to my company that it is better to help to improve the data at source, instead of spending so much time cleaning it.”

Continue reading Impact of the private sector on demand

Open Data Horror Stories: 2017 Edition

There’s a tendency to focus on personal data as the major risk of open data. But there has to be more than that.

ODI Devon has made a policy of holding its meetings around the county. This avoids everything becoming Exeter-centric, but there is a cost to hiring the meeting rooms, and as they publish their spending as open data, it’s led to some criticism.

Continue reading Open Data Horror Stories: 2017 Edition

The EveryPolitician project

Open Data Camp 5 is taking place in the Computer Science Department of Queen’s University. It’s a modern institituion that wants to make sure its students are ready for work.

So there are rooms that are carpeted with artificial turf, filled with trees, and furnished with garden benches. Of course there are.

The second session of the morning gathered in the garden room to discuss the EveryPolitician project [everypolitician.org], a bid to collect information about every politician in the world, anywhere.

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Open Data GP Registers

Northern Ireland has always needed to keep registers of GPs and other health providers. Now, at least some people in its government and health and social care service are looking to release the GP register as open data: a single list of GPs in Northern Ireland that is available in machine readable format.

 

Why? Session leader Steven Barry explained:

“Lots of government departments have lots of service information, but it is often collected manually, so when somebody leaves it stops, or people do it differently.

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Open Data Camp 4: bigger, better, wetter

This post is a repost of Giuseppe’s Medium blog post

I am slowly coming back to life after Open Data Camp. Being in Cardiff was amazing, if not for the weather, which is partly to blame for my current heavy cold. I have not been that wet since I walked up the Snowdon six years ago. Despite the weather, this Open Data Camp has been probably the most amazing we have run since starting in Winchester two years ago — with some caveats. Here are some stats coming from the participants who shared their data (>50%).

The highest participation ever recorded at an Open Data Camp

The most mind-boggling figure from this camp is the total number of attendees: we checked in 125 people on day one, and 103 people on day two (most of them, but not all, returners from day one). To put things in perspective, the highest participation on any day one had been at Open Data Camp 3 in Bristol, with a total tally of 93.

What’s more striking is the very low drop-out rate. We counted 134 unique attendees out of 147 tickets sold. In the unconference industry, a drop out rate of 30% is considered normal, and ours was only 9%. A 91% attendance level for a free event is something I would have never expected. It is testament not just to Open Data Camp being a great event — hey, I’m blowing my own trumpet here! — but to the community being very committed to attending.

Most of the UK was covered

Look at the pin map on the left (or play with Angharad’s interactive map). People who declare their travel origin are from all over the place: Sunderland to the North, Norwich to the East, Hastings to the South. However, the map on the right suggest the magnitude of attendance is higher somewhere in the South of the country. Let’s make a chart…

 
Participant origin in the UK

We can still do better, location wise

Looking at the data, it is evident that most attendees come from the English South or Wales. Is transport an issue? Potentially. However, one of the ideas behind Open Data Camp is in fact to bring Open Data around the country, rather than getting people to attend, so I would not be extremely negative about it. If anything, these chart suggest where to bring Open Data Camp next — if almost 70% of the attendees come from Wales and the South (including London), we should focus on making the next event happen where we only have few attendees: Yorkshire, the North East, Scotland, Northern Ireland.

Attendance by town and region of origin

Some people travelled a long distance

I had a huge grin on my face when I realised we had attendees from 4 continents. The non-European attendees were just 3, but their contribution was really useful. Hearing about Open Data in Seattle and Bangalore is certainly something that can make UK Open Data better.

The median distance travelled was 86 miles, which is more or less how far Southampton, Oxford, or Plymouth are from Cardiff.

 People travelled some distance to get to Open Data Camp

Diversity

Of course, some thought needs to be given to the diversity of Open Data Camp. The organising team did relatively well on gender balance, with over half of the members being women. So I was a bit disappointed upon realising that overall the event saw twice as many men as women (I leave those who did not declare their gender here in the chart, as I think this might be another symptom we need to address). What was your feeling as an attendee?

Open Data Camp seems to be pretty well received among people of a diverse range of ages, but if there is anything we can do to improve please let us know.

We have no data about ethnic background at this stage, but it might be something we would need to monitor in the future.

Gender and age data

On the way to Open Data Camp 5

It’s going to be difficult to beat Open Data Camp 4:

  • the biggest Open Data Camp so far
  • the first in a (former) parliament building
  • the first with armed police
  • the first in which I pitched a session (pushed by Jeni — and actually this was the first session I ever pitched at an unconference…)

When we started organising Open Data Camp in late 2014, I was skeptical: I thought this would be a one-off event and I was resigned that interest would move elsewhere. Instead, if I can summarise Open Data Camp 4 in one key learning point, I can say that interest in Open Data is getting hotter and hotter.

There were many users of data, new to the community, who are extremely keen on data releases and clear, open processes; there was an incredibly well attended session, “Open Data for beginners”, which had to be repeated due to demand; we had, for the first time, data journalists attending, interested in keeping pressure on the government to publish data timely and accurately; we had professionals who work in fact-checking, now using government data to partially automate their fact-checking processes.

Equally, there is a demand for better data, open standards, and clear processes by veterans of Open Data. Open Data shouldn’t come at a massive expense to the taxpayer, but I still think it is beneficial to the efficiency of the public sector if processes that generate data are made clear, de-duplicated, and documented — and the Open Data agenda has clearly been pushing in this direction.

It seems evident to me that Open Data needs to be consolidated — and, preferably, approach releases from a problem-driven perspective (as I somewhat suggest here) — but it is also evident that the community is becoming richer thanks to people belonging to different areas of expertise, interest, and activism, starting to join in. I look forward to continuing the discussion at the next camp.

What makes for a good API?

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?