Placeholder Image

字幕列表 影片播放

  • [Vince] so it is my extraordinary pleasure to welcome

  • Sir Nigel Shadbolt here. I saw him give a talk

  • about openness at the British Library just recently I thought he'd be a

  • spectacular addition to this particular meeting

  • Nigel's list of accolades so long that if I read them out we'd be here

  • till the lunchtime

  • and I think hopefully is going to be touching on

  • many of the highlights today. With Sir Tim berners-Lee he recently founded the

  • Open Data

  • institute. Another big development is with the government data portal where

  • again I think

  • with them Tim berners-lee you were heavily involved in in founding that

  • initiative

  • and that's led to a spectacular really transformation

  • in the openness of data associated with government

  • and making giving the public much greater access

  • to that data in a really much more transparent

  • way. And that

  • data portal is really the foundation for some of our own activities within the

  • Museum

  • associated with a net the NHM data portal

  • the we'll be hearing about this afternoon. So I'm with that

  • is my pleasure to am hand over to Nigel Shadbolt.

  • [Nigel] okay

  • well thank you. Its a real pleasure to be here. I'm really gonna be talking today

  • I suppose you did see

  • to what extent I'm preaching to the choir but I'm really going to be talking

  • about

  • the point of the Open Data movement

  • why is important, what results we are finding and ready to enjoy all of you here

  • to really take that step to wherever possible.

  • Imagine a releasing your data under

  • open licenses as open data now I kinda represent to us you should really

  • the Open Data Institute, which was just open up literally

  • in the last nine months a has been running since

  • October last year and also

  • may day job as professor at the University Southampton in electronics

  • computer science

  • where I i've been working for a number of years on next-generation web

  • technology to think of ways in which we could integrate data into the web

  • and much more natural way.

  • First of all I'd like to persuade people that this stuff around open crowd-sourcing really can be material and we had some

  • examples around the

  • the an actual estimate this is one of my favorites is quite often used

  • its not a high resolution image here but to say that

  • but when the a Haitian earthquake hit in January 2010

  • there was no map is haiti have any detail didn't exist.

  • One of the extraordinary things that happened is over a period of 12 days

  • software open source software open standards

  • and a huge amount of crowd-sourcing went in

  • and literally with GPS, with hand-held mobiles, with laptops

  • they were uploading, literally walking the streets of this devastated capital.

  • Within 12 days they had produced a detailed map

  • which is essential actually to organise the

  • humanitarian relief.

  • When you see the video that was put together that it's really one of those

  • kind of

  • these hair raising moments on the back of your head, as this is this is a

  • powerful new source

  • of capability. It's not historically new if we go back to

  • Nightingale, for example, the wonderful work she did in

  • cataloging mortality in the Crimean War.

  • There is a brilliant infographics, by the way. This is the Cox diagram which

  • represents deaths through

  • a particular year and the observation crushing the obvious now was

  • that most people were dying out there through hospital-acquired infections

  • diseases in the battlefield they weren't dying

  • directly through and on the battlefield. Snow's work on the spread of cholera

  • where again he began to collect mortality statistics

  • put it on a map an each of these black blocks is a bit of a personal tragedy

  • it's a

  • family death and these houses here

  • clearly associating with people pumped their water. This pump here

  • was locked. They actually came to a view

  • that cholera was probably water-borne it hadn't been widely

  • accepted a ttaht point. So the usage data at scale

  • can be transformational has been in history and and it's no less true now of

  • course

  • if we sink a prototypical example the sequencing of the human genome

  • the fact that data is available for all to do

  • and research how they will. That's a huge

  • gift to humanity and not just the fact that data is available but the whole

  • source

  • of open signs that arise from it is incredibly fast-moving. So this is a

  • actually a DNA sequence, a piece of the genome also

  • of E. coli. It was the E. coli outbreak that occurred, in new member those

  • you remember that salad and lettuce instances in Holland and Germany. It was a huge panic, people getting very

  • very ill with an acute form of

  • a of poisoning and

  • within days a group in China

  • had sequenced that particular sample was spreading the information around the

  • web people starting to look compare against

  • reference models E. coli, get some idea of what the

  • differences were between this and standard references models to think about

  • treatments.

  • That is illustrative of both

  • the way in which the state could be put to use and the rapidity of putting it to

  • use

  • and sometimes when you all kinda arguing with people and the CEOs and politicians

  • about why do this

  • you take examples that have been profoundly destructive and

  • transformational because

  • the underpinning IP,

  • the underpinning data was made freely available the underpinning standards. In

  • the case the World Wide Web

  • this man Tim berners-Lee, who I'm

  • privileged to work with, he gave those standards to the world

  • via CERN and they

  • are the fundamental protocols that allow us to

  • build the construct that is the World Wide Web, on top of

  • existing Internet protocols or the GPS signal that silly wasn't developed

  • with commercial applications in mind but when the decision was taken

  • to switch of the blocking to switch that on as a commercially available

  • public good, huge amounts of value flowed.

  • It's inconceivable now a that

  • would be switched off except from possibly

  • natural disasters solar flares frying it down.

  • But in a real sense we've come to expect in just the way we come to expect

  • with

  • the work that was done with

  • calculating longitude or working out Meridian time

  • that these things are public got certain data made available

  • has very white utility.

  • The story that I like to tell it's not just about the data that this is virtuous circle

  • of data for sure but standards

  • agreeing formats in which there is no proprietary interest

  • in which to represent the data. Agreeing licenses that don't put bizarre

  • restrictions on using the information

  • One example of a government that released its data

  • thinking it was doing the right thing and had one clause in its license said

  • do not use this data to bring the government into disrepute

  • what possible use

  • for most system activists is data without restriction

  • Open source open participation

  • The sum total at these elements of open are former open innovation

  • that both accelerates and widens impact. So this is why we're excited by this why

  • spend my time

  • kinda promoting this this whole approach

  • just to be clear on open data is data that is

  • available for anyone to use for any purpose at no cost

  • and there isn't kind of slightly open

  • It is either available in these Terms appropriate licensing or not.

  • And just to illustrate this scale of the journey

  • when we began this word back in 2009 under the last government

  • Tim and I a came up with the wiz which was to imagine

  • we would all have the ability to have a local papers give us a little

  • supplement the

  • Post code paper, this would be a little supplement your local paper and it

  • would be

  • your postcode give you all the public data held about you

  • by government local government everything from your school attainment

  • rates to when the buses ran to where the b-cycle points were

  • to how frequently the potholes filled. The whole

  • nine yards. We put this together actually

  • at The Guardian a we assemble a whole range data produced this

  • lovely a

  • 7-10 page document took too long to actually

  • a cabinet meeting put it on the table in all the politicians thought the job was

  • done

  • we pointed out that eighty-five percent of the content

  • on that newspaper was illegally reproduced okay

  • we had broken Crown copyright we weren't allowed to use tool

  • post goes cause we had to pay for them at that stage the Ordnance Survey

  • whole raft reasons some sane some less sane

  • about why that data couldn't be reused in an open format

  • and the the change has been remarkable that in 12 weeks we had the beginning

  • over

  • open data portal, data.gov.uk, which back in the day

  • up was still is a beta site. One of the things that we

  • kind of took government on a journey was to match in that the notion of a

  • perpetual beater

  • a site that is on the continuing development does not expose you to

  • ridicule

  • does not expose you to any more kind of security threats

  • its project on the work and the idea that one can always fully specify

  • to the final degree all that you can be perfectly secure

  • and understanding the requirements once been discharged in the system's is

  • is illusory. So we like to come to promote this idea of

  • a child development 12 weeks and and constant development

  • approx within 24 months we had a site where you actually put your postcode in

  • focused postcode dates was now at this point for you available we had about

  • forty percent to the Ordnance Survey scored eight er made freely available at

  • this point

  • a which which was hugely important

  • because the fundamental geography of the country is the connective tissue

  • a lot of data and week we had to have

  • much about data released and you can find out various

  • a a.m. dates sets from data got that you case had a few maco

  • was a through time but well over 9,000 datasets that these datasets

  • when the meaningfulness about dataset when one of those dates as is the entire

  • geography the country issue

  • you could say it is is is debatable at all in fact that the weather data that's

  • a a real time weather data that's available the five-day forecast to 5,000

  • points at three and a half

  • our predictions out for five days that's real time streaming data that is

  • many many many files what level calculations so it's

  • it's actually not the amounts its

  • whether it matters and I think the fact that matters is

  • is also well attested by the fact that just a few weeks ago we had the g8

  • leaders sign

  • a opened a to charter which is a commitment by

  • the g8 countries to release certain coal reference taters Open Data

  • I'm will be rinsed to see how that goes and

  • an increasing awareness that data

  • at one level is a piece of national infrastructure

  • so in the same way the roads and fiber

  • the power grid a party the National structure you need to take

  • particular care some other data assets that you're generating

  • and imagine them is available as a public good with this mapping addressing

  • transport education health and so on a mapping those out some working out what

  • should be held

  • for the public good and maintained as a function of government

  • is a really interesting change because in the past infrastructures meant

  • cables machines service it hasn't meant the data

  • and I think this is a change we need to see in

  • all organizations niche tutions whether it's my own University

  • whether it's museums whether it's corporates with this government itself

  • date is going to be a primary asset and some others assets will be your call

  • infrastructure going forward even if you have collected all

  • or vision it in that way as yet

  • and the reason it matters is because there is no Monroe no one reason to do

  • open data

  • there are a variety that helps actually because on the different political

  • up regimes def does come to the surface

  • so for some people it's about improving public sector delivery

  • the summit's about growth in economic opportunity for some it's about

  • accountability and transparency

  • actually the great thing is that a government

  • organization can take any if that was his big toe stiff

  • I've characteristics why you want to do open days

  • the data itself gets better when is published because typically

  • is incomplete typically the quality is probably not there can be improved by

  • pushing out getting some

  • my balls on it research itself is promoted

  • social problems about inclusion poverty diversity can be revealed

  • so overall insisting featured this is that it promotes a former good

  • governance are show a few examples where

  • where that happens so this is the case in general for OCR data I'll come back

  • to where i think im packs

  • a.m. your your your your business

  • but you go to impress and convince the politicians and the owners the data that

  • this makes a difference and here's a good example this is

  • a a site a public health England published this

  • site its about kinda slightly scary kinda postcode s great

  • a so how long you likely to live a if you're in a particular postcode

  • what's likely to get you and actually you can also partially out by our socio

  • demographic group

  • so the National Statistics Office collects this

  • multiple index of a depravation just

  • kinda rough categorizations view into a socio-economic loss

  • so you know you might be living in quite an affluent area of the country

  • by one set of indices but still doing quite poll in terms of some these

  • a particular indicates all the data here is being driven

  • from the worst Manchester to

  • the best a by open data assets

  • and for those who looking at the tables worry about the instant thing is the

  • conversations you have around the mall around

  • the local reasons for these call so issues are out

  • funding issues around provisioning it's not that people are gonna go and Dina

  • ditched because this tatouage role

  • they may modify and enhance it in various ways but

  • this has been an extremely powerful as station not least because this is had

  • very high levels the public engagement this contact

  • so it doesn't just sitting sit there waiting for a few peaks with analytic

  • capacity to come on and look at it health is a good wall

  • a because it partly makes very dramatic puts the future we're heading for

  • whether it's this is doctor foster's analysis can you see open day to have

  • a death rates in in hospitals up

  • this is really terrifying a said it craps

  • from lambert's lamberth council pushing a huge amount which data is open data

  • now

  • this is childhood obesity by wats Lambert and you're seeing

  • total explosion childhood obesity from

  • 7 onwards in that that will have

  • material policy impact going forward

  • the environment has been a popular

  • as you might imagine again lot all the data

  • that you would want the held by various environmental councils and agencies

  • is available as open day to sum up its sole summits on the restrictive license

  • as there's a great deal to do here summer is

  • held I for know very good reason a

  • confidentially by water authorities for example utilities

  • and there is a huge public interest in knowing some %uh the fact that the

  • matter here

  • discharge levels in particular parts ok for UK

  • river system for example at this is a nice example put together by

  • folks at UCL special analytics at these

  • but lines here up against those lines or or spike hires

  • and the Red is levels have lead pollution and it's just interesting to

  • look at how we kinda full of Psych licence fees

  • well less than a.m. a reports

  • tell but it gets people to think about right ear issues could could they be

  • better in terms the missions to the better in terms

  • for cycle routes what could they do other causes a crowd-sourcing

  • element to this stone to emerge all the way from people

  • starting to take an instrument as we saw earlier in the lightning talks

  • people building their own instrumentation to actually do some %uh

  • this

  • crafts or sense that's quite a good range

  • of open data that bass on the whole question of governance directly apply to

  • government itself what's contracted out on what's spent as tax base which have

  • an interest in it

  • and how widely that goes how fall you should be able to look inside an

  • organization understand what's being spent

  • he's it being spent all I

  • won the people talk about quite often that we were a.m.

  • involved with Wes was opening up the report a crime data

  • a and it's interesting one stage the various chief constables were very long

  • this will lead to a complete collapse in public confidence in the police force

  • actually there now big fans of publication data not least because the

  • kind of tools being developed

  • out there give the

  • that people on the B better tools and they would have to be

  • able to obtain from their official IT system so you know

  • be able to visualize and see just where the ask those in by the crime is in my

  • particular postcode area missus Southampton

  • it tells a rather familiar story but he tells a story you'd expect in some cases

  • tell slightly different

  • so these are the reasons why we've seen this dramatic move to a

  • 222 interested in and a supposition that open data might be the way to go

  • and it led to the establishment of the Open Data Institute in

  • in shortage here in london I and unwired

  • we doing a rain just of fundamentally to show how

  • this data generates value not just economic but environmental and social

  • value

  • we're incubating companies we have about nine companies coli investments who were

  • trying to bill business models based around updater a

  • assets we work with a

  • group to show them in a.m. both the

  • technical and policy implications as open day to work

  • we have a large membership growing membership large corporates who are

  • working with us to see how their data now this is business state interestingly

  • people don't think that the corpus could have particular interest in releasing

  • data we're seeing increasingly

  • organizations who say look we would like to expose this data to open innovation

  • because we have got the capacity to anything interesting with it

  • and we suspect we're just losing opportunity

  • other companies look at it and say this is a wave re engaging trust

  • you may be remember that night K the sports provide had a big issue around

  • how is source

  • sustainably it's some to it sportswear

  • it now publishes very detailed opened a tour around its logistics around how to

  • procure some work queues

  • so they're different reasons why why companies and organizations get into

  • this

  • and his a couple examples of up the kinds of work that's going on in the ODI

  • I to companies that are being

  • a nurtured and incubated

  • this is open corporate switches really interesting

  • a company that is looking to harvest all the information about

  • all the company's in the world okay we have Companies House

  • a.m. we now have summer that day to openly available

  • which is a start you would actually got to be able to know

  • all the listed companies in the UK and have that available is open data which

  • is

  • are you all right you can t reference in a web browser and get some information

  • about that company

  • imagine if you had it worldwide well one thing you would be able to

  • the quite quickly is who owns who beneficial ownership

  • when we had the economic crisis just a few years ago wanted the huge headaches

  • was nobody knew who is liable for what

  • until the OMW out all the ownership to be able to do that now says fast

  • this is an interesting graphic it was done this is a

  • this happens to be Goldman Sachs

  • this happens to be one company's beneficial a ownership that these are

  • all the subsidiaries it does

  • this is home to achieve America what's this

  • this is the Cayman Islands okay

  • this is malicious this is look some you know

  • and and and the issue around there it begins to reveal

  • really quite interesting a questions around

  • a weather looks that does not look at all the same ethos to select another

  • back

  • bankamerica for example this is all available that website

  • quite takes quite interesting crews are out that

  • the example is a company where we at this

  • work on a very interesting open dataset this is Sam

  • in England all cheapies have to publish every month

  • the prescriptions they right out not to

  • that would not be good but what joke in what about

  • okay so that's a lot of data points you think of all the old alt's which is made

  • out

  • and and this company actually we working with buying gold acre

  • the famous for his work on past science and

  • looking at how we might improve drug trials hold a variety of issues on the

  • Benz

  • interest and and surgeons who and and and clinicians who were interested in

  • understanding how weak but dates to use

  • so what we did was we looked at one Clauss of

  • truck stacked Ines and we took

  • two years with a date certain look to one in particular and what we're looking

  • at was

  • what the difference would have been had the cheapies been describing the white

  • label the generic version

  • all that juxtapose the more expensive such as we factored out

  • the group doing this factor that issues around side-effects that sometimes white

  • but prefer the more expensive though with less

  • jet X much less expensive generics they identified

  • with all those things taking into account well this mattress top shows the

  • amount of variation

  • between those who were more or less scribing

  • but today at a appropriate level to those who

  • ok describing us license talk about 235 said

  • que se that that that that that appears we had this down to individual GP level

  • we didn't produce that

  • a map assist in question is what we might do we identify two hundred million

  • pounds

  • of savings for one close shocking what potentially

  • at the generic now that's the house is the question about how your behavior

  • intervention how you use that to be something interesting

  • is next stage in all this work so the data itself doesn't carry a call to

  • action

  • it's showing you a situation

  • the thing I wanted to just mention is we do recognize that all data

  • 8 open isn't the same it's hugely important here to recognize that there

  • will be

  • day switches restricted constraint

  • it may be that identifies individuals it may be that is on the pre-existing

  • licensing conditions it may have prior claims over its

  • it may exist to accom- made maybe the property the company has invested

  • heavily in collecting that dates together

  • and the slightly kinda arm

  • solitary point to make here is when people get excited about Big Data

  • on what we have found in the Open Data world

  • is that the value Open Data in this mixed data ecology

  • or ecosystem is that very often quite modest a two sets

  • all what I think I was there is set to stow its other data

  • so its it's a spreadsheet sitting somewhere that really allows you to make

  • sense

  • so much more information and when when we think about where the data assets

  • live with an organization and that's an interesting question its

  • what we did discover was that huge amounts the government data

  • state is not in big data bases since

  • fairly strong flee managed to maintain spec sheets you know

  • which may or may not have a stable semantics or maybe not actually never

  • been fully documented

  • there's always a challenge in working out how we pick 'em provide

  • tools and methods to make that whole process much more explicit a manageable

  • or god forbid the existing PDS a.m.

  • which of course is a trial in a task to get the data

  • out up those formats but we live in a world that makes for much we gotta

  • provide methods and tools to cut a deal with that

  • I just wanted to kind of a close out a few issues try talk about

  • your particular context there are challenges in this world not least

  • making all this data available a wes is gonna be stored is going to store it

  • what about

  • assistance management at this its

  • its it's interesting that is we do this we also find that what was supposed to

  • be big data just a few years ago we something people could hold on a

  • a few drives back home and so this extraordinary decentralization

  • and distributed nature of what were key archival assets

  • has become a very interesting property up for

  • update landscape but there is in general a question about who will support the

  • structure

  • there is an issue around quality a I can give you lots of amusing examples have

  • data that when it was released government thought it was quite good day

  • to the time was proud to release it

  • I've used this example many type II I'll use again

  • will stop sinning in the UK there are three than 60,000 got them

  • how many do you think will wear the government thought they were

  • the answer is seventeen thousand okay 6 percent to the data

  • was wrong okay bus stops go missing

  • they get moved they get developed to get close down

  • know who no data

  • base is a complete reflects the reality that moment in time so the real question

  • is how do you deal with

  • the improvement about data assets a actually this case when the Texas least

  • within

  • weeks a crowd-sourced a

  • website been built where people could put the positions at the missing bus

  • stops in

  • thats as a huge advantage to any organization to get a harness up level

  • of of up of citizen engagement

  • participation as a big issue around eight illiteracy I think this is

  • possibly one of the most

  • interesting facets here on again

  • talking to colleague statisticians a slight feeling that all this stuff for

  • an open data is kinda cheapening the kind of them

  • business experts statistics my argument back is that is absolutely making

  • heroes are statisticians it's the new kinda fundamental

  • data science me wanting you fundamentals above all kinda curriculum

  • the BL to understand how to interpret manage

  • incorporate modify transform visualize

  • sis increasing set updater assets can be hugely important

  • and there is the never a to be settled the resolve issue around privacy and

  • security

  • doubtless is we really small more data it's the case that people can use it for

  • ill as well as good I believe that good largely outweighs the ill

  • but you will see debates you seen this is really fascinating debates in the

  • last few years a route

  • whether certain experiments in a VM bird flu should be published in The

  • it in Co in public peer review journals

  • because it might give people which is home by O terrorists

  • insights the real question is what insight you lose by

  • keeping that information from the open scientific community who were

  • actually China think about what we do if something like that happens

  • so that trade offices might well I think this is the real time position as a

  • ships a AIS a which is great if you try and resolve

  • insurance claims and not bad if you use a lot Somali pirates

  • off the Horn of Africa working what you want tensions

  • there are issues around a a

  • incumbents already have a strong date position

  • their issues around legislation copyright which mention inadvertent

  • copyright

  • stations which actually allow just puts huge massive friction information

  • transmission

  • and and who knows perhaps governments will tire of

  • Open Data weathered things we're trying to do is

  • is get so much momentum behind it and show the benefits to be hard to switch

  • the stuff of whether your cultural

  • heritage institution or you see 'em or business

  • if these Dec two taps get turned off what you want to hear

  • is a large amount of the demand side saying West Supply Co

  • okay i think thats powerful way to ensure future this work

  • and just kind of close out ready on

  • back in the day when science got organized and

  • the Royal Society launched in the transactions were

  • we launched the whole notion was to bring a wider engagement

  • whole thing was about exposing correspondence too much

  • much broader population then of course the the technology was the press

  • with the web were about moving that whole process on

  • I think as we look at up the world you live in I i describe it

  • as its cultural heritage as as

  • the importance of the demesne you inhabit

  • is is sensual your unique position you have a public tasks

  • you clearly have economic value locked into these assets

  • you have been gauging unique content and you all for it it produces

  • and want the crucial things about this world

  • is the file you in becoming the authoritative

  • issuer all the data labels duri

  • specimens the catalog engines is

  • really barely appreciated yet there are few areas where

  • that snail then again in in tax taxonomic studies

  • a in various parts supply precise to spin on the stuff for a while but the

  • fact that

  • almost everything you might generate

  • and the reasons you have a classification or a wave organizing your

  • material could have

  • authority by it being issue by this institution's

  • post another that is a unique both brand

  • and on

  • functional service to think about

  • because at the end of the day this is all about lynx Lynx Lynx is all about

  • trying to provide an environment where we can take

  • not data assets in silos but to imagine how they can cross thread how they can

  • be

  • enriched one with the other I'm gonna stop there

  • thank you very much thank you

  • thank you for a fantastic talk I'm you've touched on so many issues I'm

  • sure there are many questions

  • on so opening up as anyone got any questions

  • there are no question I'll now I've got plenty I

  • you thank you very much for inspiring talk

  • %uh I'd like to come back to this so perennial at the moment

  • problem will persist in so doing so yep

  • arm a lot of the go to search being generated

  • R&R damone all research grant funded

  • learn its product which lost three years amor mmm

  • you got a more from those such as you're not careful

  • arm but I'd like to hear your views on whether you think having silos

  • a world data banks which exist for some demands

  • well you contribute your you you give a copy of your does go into the

  • this and hopefully curated I'll and

  • my experience having although two sets in one pot

  • allows you to do some cross-correlation and

  • show gaps and identify areas

  • but model as opposed to distributed

  • go to Cirque but it doesn't matter if the original source got turned off

  • um images on new

  • the web one sorrow though yeah

  • they're all across the web arm I mean it's just a question of them at a total

  • loss to truck while

  • and so are the the second i spose part of the question

  • is the value of motor voter all collections descriptions

  • so that you can take it does so which was produced

  • for a specific purpose but with appropriate matter that you can find

  • whether it's a fit-for-purpose

  • to use in other servers let me take take the second office cutting absolutely

  • right

  • is crucial that we do a huge amount more

  • a around meta-data and we know of course

  • you experience being what it is that people themselves up

  • accept a national special is curator this to find this really quite difficult

  • to use to do but increasingly we have

  • the meta data generated at the point if data generation from our

  • instrumentation for more context and so on so that is gonna be crucial

  • a there's a lot more to do around the meta-data issues around things like

  • quality sampling you know just just the stuff around

  • excuse to give you some sense of I've the context in which is collected so I'm

  • with you on that

  • I think the intrusive the balance between the

  • sense depositories and distributed for a resources

  • its we need a mixed economy actually anecdotally be wanna to it cases where

  • this a lot of benefit in having some highly authoritative

  • integrated resources I would like think the silos I hope think they could be

  • open

  • are accessible a but nevertheless up

  • pretty seriously robust a curated such

  • I think they'll be a cake case that you can see it in various forms a

  • proteomics work and and and %uh that those areas

  • the really extinguished about much longer term forms assistance and

  • curation I think that is something we have to get serious about any

  • also touches on some things mentioned earlier which is

  • what we give a steam for the the real changes here is going to be when we

  • start to

  • recognize and promote and the in some sense

  • a acknowledge the value of all the data management pieces help or so and

  • meta-data the moment it's just something you expect to do along the way

  • and that's too many cases that's that's the situation so

  • I think we have to if we're serious about data we've gotta think about

  • putting the whole inset

  • incensed by session scheme a.m. in place to support

  • anymore Chris

  • thank you I'm interested in the drivers to

  • make or allow organizations to put it online

  • information online I am

  • in some cases Boadicea have an economic model

  • which requires them to economic return

  • for the data information and knowledge sometimes it can

  • you can help you should like make information more available by the

  • the whole unpublished are the

  • the um the show in the valley shine the value the label as you

  • is set at the end other times

  • it's perhaps not in their best interests to make even data available

  • because other people might reuse it and produce a product which cool

  • competes for their own Joe um Chinese seal way through

  • look at that there are going to be areas where people believe that term

  • is an S&P really quite the question in economics people argue about you know

  • does information asymmetry make markets better yeah

  • markets meant worked well when people have could mask specializing most the

  • time markets work because

  • I know something you'd 0 sander if and that has to be the same

  • for certain sorts have coped investment as well an IP protection ike

  • I don't imagine a world in which everybody converts to open innovation is

  • the model to do this thing

  • what I do it thing is a serious conversation to have is around

  • public sector bodies in particular a or bodies that all given

  • public sector roles with taxpayers money to ask on

  • what all they therefore we are we really about making business is all about

  • providing a public good

  • and I think we've gotten quite confused about that in some particular parts of

  • the government

  • state on record as saying that I think I think by large you have to get

  • all the ways you get adverse situations in which people who generate this data

  • na monopoly providers

  • will charge you monopoly rent for it and they're actually in the public sector

  • you think

  • how's this working so I i'm I beat for keeping that quite clean

  • but certainly wouldn't the rule out that way

  • companies can make a living by having a an effort to collect and manage and then

  • sell on data that they have access to not be with them

  • why not the question is how long they will maintain that position and

  • increasingly in the world

  • the cost a massive data collection is also

  • showing a very interesting to train to become

  • cheaper in some sense come easy a and so that you call

  • necessarily rely on a date monopoly forever today and

  • and what companies now recognizing is that even if they can

  • maybe there's a better business model that gives a substantial chunk away

  • to sell the really high value services that they

  • that they derive from analytics based on that

  • name of

  • up Texans agent other an interesting museum um

  • fascinating to us from doing a little bit thinking for salty about the

  • differences between tater

  • and information your knowledge um assigned to sweet

  • the data itself is in 90 interesting its ella is the information and knowledge in

  • a

  • it it he said examples here I think maybe we need

  • guidance from your personal experience in this well um

  • go where do you draw the boundaries between the data you know is for example

  • if I simply topple in our institution would be more molecular sequence data is

  • tater

  • but is the the classification the tree of life the

  • that's made from that is that also day towers at

  • something else yeah and how can you go you're exactly right on got fat me look

  • it's a term a ball

  • that's come to be snappier open data but I spent many here has

  • the working in a lion you know

  • epistemology where the distinction clearly is fundamental

  • this is information everything I just talked about was information actually

  • liked open data movement ok that I see information sets because

  • there is meta data associated with that that tells you

  • something about the semantics of what it meant in fact for me

  • wrought raw data is this really attentive to bits and bytes I wouldn't

  • know whether 37 represented your

  • no a you're kinda age or you're kinda core body temperature

  • I'd I thats thats when you have

  • a piece on it up today to so it's nearly always information and then for me

  • actual information takes you a little bit towards knowledge you know the if I

  • know what I

  • if I know that this core body temp should means I need to treat you

  • pretty fast much Celtics and I got a piece of information turned into

  • actionable them

  • knowledge but that's very true and

  • its BB carefully don't get just two slipshod about these definitions and I

  • think the quite poor wants to make out as well

  • yeah free more context typically information guess which is the more

  • context moment

  • I'm sending up from the national issues am I just wonder thinking about your

  • open innovation inserted agenda so there's a sort of open innovation is

  • also something which is coming at almost orthogonal axis which is responsible

  • innovation which is another way of looking at how you use how you use

  • knowledge and how do you see those two

  • things interacting to be sorted open responsible I was interesting I it's a

  • basic question

  • II I think because the open innovation examples we will give you will often

  • feel

  • very responsible I'll give you an example like you know

  • jack and rocket the guy who did the five cents cancer

  • paper base cancer detected fifteen-year-old

  • you know reading a thousand paper San actually trying to work out

  • haupt apostasy brilliant insight

  • and this destructive the whole income in technology

  • that's that's the kinda open positive side open innovation but

  • what is responsible research likened what are the boundaries around that

  • and all the self-limiting orton says you would want to impose

  • a and that's a really interesting question I think its some

  • and it was almost again is touched on in these examples like the

  • the work research in areas like God

  • each transmissible diseases that work on on but you know how far do you go

  • with reporting this stuff and a half or you going doing the work at all

  • 'em so that conversation it's kind it's beginning to happen but

  • only early days say

  • any more questions okay

  • well I think we'll I am call it yeah

  • I'm if you'd like to join me in thanking Nigel and indeed all %uh speakers for

  • this morning

  • ample back from 2 o'clock or be looking at some the collections digitize Asian

  • activities

  • and infrastructure activities associated with that

  • just one logistics message as well those people not from the NHM

  • who need lunch arrangements if they can see am

  • at Baker and Lawrence Livermore ed in the corner

  • and they can am help you out with that so thank you very much Nigel

  • and all the speakers this morning thanks

  • I but

[Vince] so it is my extraordinary pleasure to welcome

字幕與單字

單字即點即查 點擊單字可以查詢單字解釋

B1 中級

16.16. Nigel Shadbolt "開放的價值 -- -- 開放數據研究所和公共資助的開放數據" (16. Nigel Shadbolt "The Value of Openess - The Open Data Institute and Publically Funded Open Data")

  • 149 20
    翁書婷 發佈於 2021 年 01 月 14 日
影片單字