Title: The year open data went worldwide
Publish Date: Mar 2010
Description: At TED2009, Tim Berners-Lee called for "raw data now" -- for governments, scientists and institutions to make their data openly available on the web. At TED University in 2010, he shows a few of the interesting results when the data gets linked up.
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Time Transcript Action
00:00:15 last year here ted i asked you to give me your date of put the date on the web
00:00:20 on the basis
00:00:21 that if
00:00:22 people put data onto the web
00:00:24 government data scientific data community data
00:00:27 whatever it is
00:00:28 it will be used by other people to do wonderful things
00:00:31 in ways that they
00:00:33 never imagine, so today
00:00:35 i'm back just in show you a few things
00:00:37 to show you the in fact there is
00:00:40 an open data
00:00:42 movement
00:00:43 afoot now
00:00:45 around the world
00:00:45 the try of raw data now which
00:00:48 i may people make in the auditorium which is heard around the world
00:00:51 so it's a
00:00:52 roll a video
00:00:54 classic story the first one we sort of people picked up
00:00:57 was when in march
00:00:58 march 10th in fact soon of to ted
00:01:01 Paul Clarke
00:01:02 in the UK government
00:01:03 blog that are just got some raw data here it is it's about bicycle accidents
00:01:09 two days it took the times online to make a map
00:01:12 a mashable map
00:01:13 We call this mashups
00:01:15 a mashup
00:01:16 user interface allows you to go in there and have a look and find out whether
00:01:18 your bicycle route to work
00:01:20 what's effected
00:01:22 here is more data traffic survey again they put up by the UK government
00:01:26 and because i put it up using linked data standards then
00:01:29 i use it could just make a map just by clicking
00:01:32 this date affect things like this back to two thousand eight
00:01:35 look Zanesville, Ohio
00:01:37 here's a map of a lawyer made put only the water plant see which houses of that which
00:01:41 houses
00:01:42 have been connected
00:01:43 to the water
00:01:44 and he got from other data sources information to a show which
00:01:49 houses occupied by white people
00:01:52 well there was too much of a correlation
00:01:54 we felt between which houses occupied by white people which has had water in the
00:01:58 judge
00:01:59 was not impressed by the judge loren preston two ten
00:02:02 point nine million dollars festa partake in one piece of data nother today to
00:02:06 putting it together
00:02:08 and showing the results
00:02:10 this look at some data of the UK now this is you pick up the data
00:02:13 completely independent site where does might the money go allows any would you go
00:02:17 there and borrow down you can borrow down
00:02:19 by particular type of
00:02:20 spending or you can
00:02:21 go through all the different regions
00:02:23 and compare them
00:02:25 so that's happening in the u_k_ with you pick up government data yes is certainly you
00:02:29 can do it over here here's a site which allows you to look at the recovery
00:02:32 spending
00:02:32 in california and take them over to example long beach california you can go
00:02:37 have a look at what covering money they've been spending
00:02:40 on different things such as energy
00:02:42 in fact this is a graph of
00:02:44 a number of data sets in the repositories a data dot gov
00:02:48 and data dot gov dot UK and i'd like to see
00:02:50 a great competition the UK in blue and the US in red
00:02:54 happen uses stuff
00:02:56 for example if you have lots of data about places
00:02:58 you can take it from a post-code which is like a zip plus four
00:03:02 for a specific group of houses you can make
00:03:05 paper, a print up a paper which is got very very specific
00:03:08 hings about the bus stops the thing that is specifically near you
00:03:11 larger scale
00:03:12 this is a mashup off the data which was released about the afghan elections it
00:03:17 allows you to set your own criteria
00:03:19 for some things you want to look at
00:03:21 the red circles our polling stations selected by your criteria
00:03:25 and you can select also other things on the map to see what other factors
00:03:29 like the threat level so
00:03:31 that was government data also talked about community generated in fact i edited it
00:03:34 this is the
00:03:35 wiki map this is the openstreetmap terrace theater i actually put on the
00:03:39 map it wasn't on the map before TED last year, i was not the only person editing the
00:03:43 openstreetmap. Each flash
00:03:45 on this visualization put together by ITO world
00:03:48 shows
00:03:49 an edit in two thousand nine made to the openstreetmap, let's now spin the world
00:03:54 during the same year
00:03:55 every flash is an edit, somebody somewhere looking at the openstreetmap in
00:03:59 realizing it could be better you can see yours is a blaze
00:04:02 without dates
00:04:04 some places
00:04:04 perhaps not as much as they should be here
00:04:07 focusing our in on haiti the map of port-a-prince at the end of two thousand nine
00:04:11 was not or it could be
00:04:13 not as good as the Napa California, fortunately
00:04:16 just after the earthquake
00:04:18 Geoeye
00:04:19 commercial company released satellite imagery with a licensed which allow open source
00:04:24 committee to use it
00:04:25 this is january time-lapse people editing
00:04:28 that's the earth quake, after the earth queake immediately
00:04:31 people of the world
00:04:33 matters
00:04:33 who want to help and could
00:04:35 looked at that imagery
00:04:36 built the map quickly building up we focusing now to port-a-prince the blue is
00:04:41 refugee camps these volunteers despotic from the air and now we have immediately
00:04:45 realtime map
00:04:46 showing where there are refugee camps rapidly became the
00:04:49 best maps use if you're doing relief work
00:04:52 in port-a-prince witness the fact is here on this scavengers device been used by
00:04:55 rescue team
00:04:59 in haiti. there's a map showing on left-hand side there's hospital actually a hospital that is shipped
00:05:03 this is a real time at
00:05:05 that shows blocked roads
00:05:06 damaged buildings
00:05:08 refugee camps interest things that we needed
00:05:11 so as you've been involved or no at all i just wanted to say
00:05:14 whatever you've been doing whether you've
00:05:15 just been shouting raw data now you've been putting governmental scientific
00:05:18 data online
00:05:19 i just wanted to say something thank you very much and we have only
00:05:22 just started