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")

Subtitles section Play video

[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