Nestoria Interview: Alan Smith of the ONS' Data Visualisation Centre
There's a restriction on how much you can fit into a title, but to be more precise, Alan Smith is the Principle Methodologist of the Office for National Statistics' Data Visualisation Centre. Meaning he's got access to a lot of interesting statistical data to and it's up to him to present it in a visual fashion. So you can see why he's something worth putting questions to if you're interested in the how/ why and what of data visualisation.
Before we get into the Qs and As, it's important to mention that Alan spoke to us from a personal perspective – these are his views not those of the ONS. It's also worth noting that his background is in GIS and cartography. ALAN: My masters is in GIS, though I confess I haven't fired up a big, proper, grown-up GIS for some while. My first maps at college in the States were ink on vellum! Now that was retro...Ah, but there's often still a place for the old school. Here are the rest of Alan's answers:How would you describe your work and how did you come to do it?The work I do now - pushing ONS forward in terms of data presentation – is a logical extension of what I first joined ONS to do, namely running the corporate mapping service. There was a tipping point, about 8 or 9 years ago, where we looking at how traditional GIS software was being ported to the web because we wanted to move ONS into that space. We weren't too impressed with early online GIS solutions, so we starting looking at emerging web-specific technologies like SVG and, later, Flash and realised that if we worked with them, we could move beyond the restriction of 'just doing maps' and take on data visualisation in a broader sense. So in 2007 we made the move to set up a new team with the wider remit...And how would you describe the Data Visualisation Centre and its aim/s and function/s? The role is really to provide a link between ONS' data producing teams and the wider world. On the web front, that means trying to produce something engaging with entire ONS datasets. Behind the scenes, we also have a role to play defining standards and best practice for basic 'safety-first' presentation, which is very important - my team will never produce more than a small proportion of ONS' graphical outputs, there is a federated approach being adopted for most content creation in ONS.How does your relationship with the ONS influence what you do and the way you do it?I think we're naturally closer to the data and that's probably reflected in the form and content of our outputs. While that's usually a good thing, it means that we also work within the same constraints as the data producers - ie. most of our outputs go directly onto the ONS website - so we have a workflow that's currently working within the constraints of the organisation.What are some of the Data Visualisation Centre projects that you think have been most effective? And why would you class them as the most successful?There are three that spring to mind. Firstly, our population pyramids, which were the first thing that I did which made me realise there was so much potential in looking at 'traditional' types of graphics and breathing new life into them with new media via animation and interactivity.Secondly, the CommuterView project which allowed us to interactively map commuting flows, showed just how powerful a modern web browser is at data handling and rendering, really powerful stuff. Finally, the animated map of ageing, which has proven flexible as a mapping template for change over time and seems to have gone down very well with users. The idea of 'brushed' data displays - that is, more than one display of the same data linked to each other (such as a chart, a map, a histogram) is a natural thing to do on the web and this map was a good vehicle for that approach.
Do you even have moments mid way though a project where you realise there may be an even better way to show something? Or do you come up with many structural options in the early stages?
We tend to produce small, initial prototypes and then iterate rapidly based on our discussions with clients (typically the data producers), so in terms of fundamental approach and symbology we rarely get too far in before changing things completely. Having said that, every project is a learning experience so there's very few projects we'd go back to and do exactly the same way again as you're always trying to move things on.Where do you sit on the question of style over substance? Do you believe that data visualisation sits perfectly in the middle, or do you think it still has a very scientific part to play?The million dollar question! There really is no crime in making something look engaging, even pretty - there really isn't. But too often it's at the expense of the information in the data, which is what we really care about.ONS' expertise and insight is always going to be with the data so we're trying to reflect that in the presentation. The key decision for us is about whether visualisations are exploratory (user finds story - and with the way the web works now -shares it) or we want people to focus on a narrative (ONS experts present some insight). There's room for both, but the risk at the moment is that everything becomes exploratory so I'm quite interested in what happens to the narrative. Charts on their own can't tell you everything. A good example recently is a promotional graphic we did for the 2011 Census – we used hyperlinking between the text and the graphic to encourage people to genuinely 'read' the chart. At the Data Visualisation Centre you get a lot your data though collaborative relationships with the people who actually collect the data, how closely do you work with the people who actually harvest the data and do they ever offer any input into the way the data is finally presented? We work very closely with the data producers as it is generally their insight into the data that needs to be unlocked as part of a visualisation, so it's incredibly important.That said, have you ever had any problem getting access to data that you're interested in working with, or do you usually start with the dataset/s and then decide how to present it/ them?Yes, I think it's quite interesting that people see 'opendata' as a solution just for organisations outside of the public sector! More accessible data will make MY job easier (eg, discoverable data, less data prep by direct access through data APIs) and allow us to share our visualisations more widely.Do you think that the situation re:data access is opening up or do you find the government, for example, are still very protective of their data. See above - in my opinion, it's definitely opening up. Most ONS outputs have always been free at point of use and so it's really a question about access mechanisms. I can't really comment on other departments other than to say my contacts in them are similarly like-minded people who are keen about getting their data out into the open and used positively by as many people as possible.What are some of the interesting things you see happening at the convergence point of GIS, mobile and web technology? And what about when you add social to the mix?It's very, very exciting. Years ago, I remember getting excited when I saw maps in vending machines on the London Underground - now of course, everyone has a GIS in their pocket, which is extraordinary. This convergence is essentially delivering a connected, personalised web experience, which is great.Do you think it's these elements (above) that have helped to breathe lots of life into the field of data visualisation or are there other factors that you think were more influential?It definitely plays a part, but there's something a little more fundamental going on - and it's about data. There is so much data. Too much, really, if that's possible. And visualisation is simply one of the things that can help abbreviate data into something meaningful. There's other things too - like better data analysis - and convergence between those fields (ie. visual analytics) is very interesting. But right now, it's kind of like a
frontier and we're in a stage of learning by doing.And what particular trend or innovations in data visualisation do you find most exciting at the moment? What are you watching out for, or hoping for in the future of the field?Revisiting the concept of the narrative - the interpreted story – which will help balance things against the exploratory. I quite like the idea that things are getting easier to produce as long as we're not getting lazier at what we think of is acceptable to produce. I love Google Maps - but if everything became a Google pin map, regardless of whether a pin map is the best way of showing a particular piece of information, then that would be quite sad. The American cartographer Mark Harrower has written some wise cautionary words about this - we need to be enabled by the technology, not led by it necessarily.Thanks for the cautionary closing, and for sharing some of your thoughts with us. It's been great to get a perspective from someone who works in a more official data vis. role, and it's good to hear that you think there's many more interesting things to come in this field.




















