Tim Berners-Lee: The year open data went worldwide

61,289 views ・ 2010-03-08

TED


Please double-click on the English subtitles below to play the video.

00:15
Last year here at TED
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I asked you to give me your data,
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to put your data on the web, on the basis
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that if people put data onto the web --
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government data, scientific data, community data,
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whatever it is -- it will be used by other people
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to do wonderful things, in ways
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that they never could have imagined.
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So, today I'm back just to show you a few things,
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to show you, in fact, there is
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an open data movement afoot,
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now, around the world.
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The cry of "Raw data now!"
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which I made people make in the auditorium,
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was heard around the world.
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00:51
So, let's roll the video.
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00:54
A classic story, the first one which lots of people picked up,
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was when in March -- on March 10th in fact, soon after TED --
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Paul Clarke, in the U.K. government,
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blogged, "Oh, I've just got some raw data. Here it is,
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it's about bicycle accidents."
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01:08
Two days it took the Times Online
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to make a map, a mashable map --
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we call these things mash-ups --
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01:15
a mashed-up user interface that allows you to go in there
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and have a look and find out whether your bicycle
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route to work was affected.
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Here's more data, traffic survey data,
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again, put out by the U.K. government,
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and because they put it up using the Linked Data standards,
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then a user could just make a map,
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just by clicking.
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01:32
Does this data affect things? Well, let's get back to 2008.
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01:34
Look at Zanesville, Ohio.
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Here's a map a lawyer made. He put on it the water plant,
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and which houses are there,
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which houses have been connected to the water.
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And he got, from other data sources,
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information to show
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which houses are occupied by white people.
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Well, there was too much of a correlation, he felt,
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between which houses were occupied by white people
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and which houses had water, and the judge was not impressed either.
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The judge was not impressed to the tune of 10.9 million dollars.
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That's the power of taking one piece of data,
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another piece of data, putting it together,
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and showing the result.
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Let's look at some data from the U.K. now.
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This is U.K. government data, a completely independent site,
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Where Does My Money Go.
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It allows anybody to go there and burrow down.
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You can burrow down by a particular type of spending,
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or you can go through all the different regions and compare them.
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So, that's happening in the U.K. with U.K. government data.
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Yes, certainly you can do it over here.
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Here's a site which allows you to look at recovery spending
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in California.
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Take an arbitrary example, Long Beach, California,
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you can go and have a look at what recovery money they've been spending
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on different things such as energy.
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02:42
In fact, this is the graph of the number of data sets
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in the repositories of data.gov,
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and data.gov.uk.
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And I'm delighted to see a great competition
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between the U.K. in blue, and the U.S. in red.
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02:53
How can you use this stuff?
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Well, for example, if you have lots of data about places
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you can take, from a postcode --
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which is like a zip plus four --
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for a specific group of houses, you can make paper,
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print off a paper which has got very, very
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specific things about the bus stops,
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the things specifically near you.
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03:11
On a larger scale, this is a mash-up
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of the data which was released about the Afghan elections.
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It allows you to set your own criteria
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for what sort of things you want to look at.
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The red circles are polling stations,
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selected by your criteria.
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And then you can select also other things on the map
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to see what other factors, like the threat level.
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So, that was government data.
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I also talked about community-generated data -- in fact I edited some.
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This is the wiki map, this is the Open Street Map.
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"Terrace Theater" I actually put
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on the map because it wasn't on the map before TED last year.
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I was not the only person editing the open street map.
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Each flash on this visualization --
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put together by ITO World --
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shows an edit in 2009
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made to the Open Street Map.
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Let's now spin the world during the same year.
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Every flash is an edit. Somebody somewhere
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looking at the Open Street Map, and realizing it could be better.
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04:00
You can see Europe is ablaze with updates.
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Some places, perhaps not as much as they should be.
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04:06
Here focusing in on Haiti.
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The map of Port au-Prince at the end
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of 2009 was not all it could be,
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not as good as the map of California.
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04:14
Fortunately, just after the earthquake,
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GeoEye, a commercial company,
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released satellite imagery
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with a license, which allowed
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the open-source community to use it.
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This is January, in time lapse,
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of people editing ... that's the earthquake.
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After the earthquake, immediately,
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people all over the world, mappers
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who wanted to help, and could,
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looked at that imagery, built the map, quickly building it up.
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04:38
We're focusing now on Port-au-Prince.
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The light blue is refugee camps these volunteers had spotted from the [satellite images].
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So, now we have, immediately, a real-time map
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showing where there are refugee camps --
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rapidly became the best map
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to use if you're doing relief work in Port-au-Prince.
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Witness the fact that it's here on this Garmin device
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being used by rescue team in Haiti.
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04:56
There's the map showing,
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on the left-hand side,
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05:01
that hospital -- actually that's a hospital ship.
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This is a real-time map that shows blocked roads,
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damaged buildings, refugee camps --
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it shows things that are needed [for rescue and relief work].
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05:10
So, if you've been involved in that at all,
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05:12
I just wanted to say: Whatever you've been doing,
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05:14
whether you've just been chanting, "Raw data now!"
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05:16
or you've been putting government or scientific data online,
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05:19
I just wanted to take this opportunity to say: Thank you very much,
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05:21
and we have only just started!
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05:24
(Applause)
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