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Keynote V - Openness, the bridge to societal impact with data re-use

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Keynote V - Openness, the bridge to societal impact with data re-use
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This paper reports on new opportunities for research and education in Free and Open Source Geoinformatics as a translational part of Open Science, enabled the growing collection of OSGeo conference video recordings at the German National Library of Science and Technology (TIB). Since 2015, OSGeo conference recordings have been included to the collection sphere of TIB in information sciences. Currently, video content from selected national (FOSSGIS), regional (FOSS4G-NA) and global (FOSS4G) conferences is being actively collected. The annual growth exceeds 100 hours of new content relating to the OSGeo software projects and the OSGeo scientific-technical communities. This is seconded by retrospective acquisition of video material dating from past conferences, going back until 2002 to preserve this content, ensuring both long term availability and access. The audiovisual OSGeo-related content is provided through the TIB|AV Portal, a web-based platform for scientific audiovisual media providing state-of-the art multimedia analysis and retrieval. It implements the requirements by research libraries for reliable long term preservation. Metadata enhancement analysis provides extended search and retrieval options. Digital Object Identifiers (DOI) enable scientific citation of full videos, excerpts and still frames, use in education and also referral in social networks. This library-operated service infrastructure turns the audiovisual OSGeo-related content in a reliable source for science and education.
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OK so 1 of book we start with our next keynote speaker he's talking about the helpfulness and reuse of data and he named himself as 1 of the oldest persons or speakers that might not be connected to the 2 hour to your community so after his talk I'm sure you're around here for some time so please if you have questions contact and later to time thank you and good morning everyone on time till avoided saying my last name because it was too hard but when installed and and I've been working part on Open Data especially government data in the past 2 8 years so so helping Governments Open Data and using that data and you find my contact info at the bottom of cheap in Twitter handle I haven't quite read prepared for piracy being available here churches technologists conference when there's no channels and uh and there's a URL there where overlaid opposed the slides which is the adrenal but you and when I was approached to speak here I was
given the choice therefore time slot and I felt so I won't speak immediately group after lunch because that usually is the graveyard shift and then you know I was slaughtered for this morning and I saw the program that yesterday evening there was this boat Gallup party on the Rhine and I thought maybe I should have opted for the after lunch slot so I'm really pleased that you're here thank you for coming after the party that you went to last nite and and I thought maybe that I should use this time not to explain to you a whole lot better data but try to give you a couple of challenges to wake you up for the rest of the day and
when we talk about this open data and it usually is in terms of let's get more data and we've been doing that for a long time in the Jewish sector has been going on for decades and decades in other areas may be less long and over time we've seen the release of massive amounts of government data all over the world basically from the very small too much larger datasets and especially here in Europe the push for that the reason why governments were getting on board of this was because
they had been promised truck loads of money 200 billion euros a year in the economic impact of opening the data and the reason that the European Commission especially pushes this economic perspective on Open Data is because they have a mandate to arrange the single market and it's really hard to talk about social aspects enabling citizens to appear deal with the government more effectively or transparency so this this economic portion of open data comes from the single market perspective and and yes we've seen lots of data being released the it reuse also from the very mundane in the Netherlands we have an app called the rain radar which is something that every Dutch man users when they get on their bike to check will as they dry until I get to my destination which is a very mundane reuse of government data to the more novel and that was speaking to the imagination which is what Google Translate DOS with all the boring documents that the European Commission creates because the European collection of documents is the largest body of very precisely translated documents in 23 languages and their ideals to try to train the translation of a to it so see all this C. 3 years but when I talked to governments when I talked to local governments mountains and specifically they say where others 200 billion that we've been promised where is that in fact because especially to regional and local governments what is the relationship between so the handful of spreadsheets that they published to 200 billion euros that they thought they were going to generate for their locally economists of and the that is so the focus on on the top of impact ability for economic impact you more jobs more what tax revenue there seems to be taking away the the the the prof you of where the impact is being
generated so when we talk about the impact of reusing data has been noted don't always looking in the right places what are we looking in the wrong places to be sure
there is strong economic impact of open data reuse but even then it can be used to still be extremely hard to spot them with our company we've been doing a number of microeconomics studies into the effects of opening up data and 1 of them was looking at icebreakers anybody Gulf around Finland and they used to a satellite imagery to spot where the ice is thinner sense of what our most effective routes and the cheapest roots in terms of fuel to get stuff into Harvard and the direct impact of that on those icebreakers is already significant but is not where the real story is the real story only images if you don't follow the entire chain of the value chain of kids from the ship's getting into harbor in Finland how that impacts and logistics change because with using this data becomes more predictable when the when the goods arrive until finally supermarket prices in the north of Finland go down but that's a long long causal chain with many network effects and it takes a lot of time and a lot of efforts to map all that had to find out where those connections are but if you did you find a very significant impact direct impact on some people doing shopping in the north of Finland and the types of foodstuffs that they can go but nobody really bodies doing these types stuff because the 2 intensity it's too much work to do this and you can only do this with specific context so looking in the right places the impact is actually hot it is also
hard when we look at impacts that are much smaller and this is a small project in Amsterdam but by a group called budget monitoring and what they do with neighbors in the neighborhood is mapped out all the financial flows from government into city there is local government national government regional governors all the money that pump into specific and usually we as citizens don't know you probably don't know where your local government is spending in your city in your neighborhood on no maintain the the green zones in the park you probably don't know what they're spending on specific projects in your neighborhood and community center so the metal this out and for the 1st time this enabled a equal conversation between everybody all those measures together to discuss what do we think that this money is being well-spent do we think that this money could be more effective in a different place and as a result of that these people took over their own community center created 3 jobs along the way they now sending out people to other places to train other neighborhoods on how to get this data and use it to their own advantage and there are many and again this is significant impact this is real impact is changing the relationships between neighbors it's changing relationships with tween citizens and the government is really but it's hard to spot because it takes effort to go into the specific contexts and ask how are you using this data and that makes the impact of open data really hard to see and makes it stand a long way off up to 200 billion years that our governments have been promised so that was the governor's that I work with data apparently expected him maybe we older but there was an easy fix to spot is in the
we've grown to realize that if we want to see the impact we want we we need to start reasoning from where we wanted that impact in the 1st but only if you know where you want to drive that it can choose this is the data that is connected to those issues let's release that and because you know what you're looking for it and then there is an impact it will be easier to spot and this to me is a key intrinsic motivator for reusing data not just by governments but also by companies is where you want to achieve impact in Kenyan then release the data that might enable others to get that impact for you and it's about building these so the feedback loops between issues stakeholders and at that time and when you do that you
get very surprising results we worked with 9 local governments and regional government in the Netherlands saying OK what are issues that you're dealing with and these municipal governments come with very different things 1 said we have a lot of flesh fault flooding after heavy rainfall of us that we have shots standing and the 3rd 1 says and we want to enable entrepreneurs and socially disadvantaged neighborhoods more and and then we started discussing with them so what's the data that might be connected to it and release them and then you see forms of reuse that do not fit in that
sort of big Golden Promise at the start and then you get to child care facilities daycare facilities that are starting to use data to better understand you what next year's cohort of children in the neighborhood will be how they are divided along different and had never had necessities in the type of languages that you probably need in your organization then you
get to people like the guy on the left top left which is a deformable barrier in the north of the Netherlands and the dust that most cliche thing you can think of in the Netherlands which is shown tourists and um so organizers little across fields shown the tulip fields and then really realize that he wanted to enrich those tools and he approached his love governors and what do you know about the region historic features archaeological digs and new pubs restaurants that I can connect to and he is 1 of the more at the it's users of open data in a very small rural community and changing sort of the tourist tourism sector in his village single-handed In those type of
settings you get real impact but it takes focusing Starting with real issues diving into the real context and then released data across that and we've been trying to do that the civil servants across many local governments recalled data trips and we saw and ask what is it that you do on a daily basis who are you trying to reach in your community and can you use the data as an enabler for new conversations and your actions but it does mean 1 thing and means that we may be need to step away from the more the more shining Open Data projects see there's other cities that try to work with a lot universities and there have been far flung future versions of smart cities and and your big data explorations analysis programs that completely disconnected from the real issues that play a role in those cities and completely disconnected from the issues that the citizens have
so if we want to use data to create real impact societal impact we need to really stays that is connected to and if we want to deal was serious issues that means releasing lots of serious data and there 2 new reality it again we see lots of tree lists being published by governments but when we want to establish beneficial ownership of companies in the countries we need to turn to things like Panama papers even though the bigger felt issues are in that secondary and not in the office and if we want to create real impact with the data that we already have because we've collected it uh and and created by reusing and we need to attach it to and need to release the data that connected to the real issues not just for
governments but also for companies and sectors especially the sectors that are closely tied to the public interest utilities of food production and safety financing this sectors need to come on board with that the and that data needs to
be open it cannot be just data because the data is already there not achieving of impact now so needs to be open to the and the reason it can achieve
impact when it's open is because of what we see when we remove barriers to re-use once you open up data and you see that there is a linear growth in the number of people that actually use it and we see it time and time again this is a repeating pattern this is a graph of the and German statistics and an agency they stopped charging for data as somewhere 2008 and you can spot in the graph where that happened immediately there's a nonlinear jump in the amount of people interested in downloading the data looking at the news he sort of a probably because everybody's trying to figure out now what can we do with this stuff and then it goes up for but this is a repeating pattern of time and again the new people coming when you release data this is another
example of that Transport for London and they release all the data and what issues random and some trains and what they as that as soon as they did so over 5 thousand people started engaging with the datasets trading around 500 different applications with it along the way ranging from somebody had a monitor on his desk religion him to when the next bus will stop in front of his office so that can run up and catch it to very intricate planning applications where the entire city so what we see
is that new impact with open data reuse is often driven by these new users that common if you open up the data and remove the barriers system you stakeholders that come to the table that you're enabling to act and that's where the inspector comes from it's also coming from new agencies new ways to act from existing cycles and that's something that
we see with government itself government saw their own biggest reuses when you open up the data add to the extent that the City of Manchester books in multiple millions of savings every year it is now their own people know where they can find the data and information that they would like to work with and it was very hard to get at that data internally before so we know
that that it's about bringing more people to the table more eyes on the data but that means that in the term Open Data Open is the most important part and we're all technologies so we tend to focus on the data in building the stuff and creating the tools but in open is the more important part without that nothing really happens then we have what we already have and there is an issue that because I see those by government bodies trying to reach tracks from the previous Open Data steps because they're finding out that it's actually hot to engage with new stakeholders to have new conversations and build new relationships that costs time and effort and a much more comfortable in dealing with the organization's accompanies the stakeholders that there already dealing with so what we see in cities like Amsterdam and Rotterdam that have been trying to be on the forefront of Open Data uh as local governments out of retracting the that's because it's easier to just share data with a selected few when you know what you're trying to do with the data is much more interesting to call it Big data there are typical for yourself and not word on information symmetry but use it as a way to get this of an information that and this is a real danger that because it's hard to to deal with new interaction you relationships you stakeholders you retract into OK let's just focus on the data because we're comfortable open is is the key word here and we need to say
0 sorry about that uh and needs they focus on that means that we need to defend this principle of openness and that's why I don't like being here because open and is 1 of the key elements of what you've all you idea for the there's 1 other thing that when we do this
open as well it will become less visible when openness becomes open by design anything that we can publish along the are processes is being automatically published it becomes less visible because then it's just the way that we work right until now open it's still an additional features so we can sort of say look at me I'm doing open the when it's the way that we do things that becomes less visible and again that's sort of is a risk in itself because then we may be I'm not as aware that we need to defend and 1 of the areas where you see that this is the Dutch province and they publish all geodata but but it's also the only way that they communicate with contractors for maintenance on the roads this is the way that they provide information is the same information that everybody else gets and push it out and contractors the maintenance crews they go here is not a separate system as they had so doing open as well paradoxically might mean now we lose track of it that we don't see it anymore a 2nd area where
I think this question as to where is the impact where where'd 200 billion cup aware of a is the 2nd aspect of Y is not clear is that there's a lot of fragmentation and the type of data that is available we see this very types of datasets various topics sectors being published but quite often you can't really use that because the value comes from combining 4 or 5 different datasets you can only find 1 for the time period the geographic area that you're interested in the other 4 are simply not available that makes it hard to reuse it we've seen the release of educational data in the Netherlands it took 7 years for the 1st maturity occasion to arise on top of that data and was the lack of surrounding data that you could use combined with that luckily we see in several
countries that there is an effort to build something like a national data infrastructure and these tend to contain the data sets that are key to public service the datasets that are used on a daily basis also create datasets that you can use to combining contextualize smaller and that's where this becomes possible where have this so the backbone of the core datasets about the area where you live the country on the continent where that it becomes much easier to do all these different combinations and build value on top of the and that brings me to data because
geographic data is 1 of the so the key elements in those national data infrastructures and that makes geodata linking for many other users of open data and that comes with special questions time because it creates a a couple of defects one is that because of having geodata as a linking pinned to combine different others
we are actually building sort of the biggest dataset of all so that so this should reassure the city government of Amsterdam but there's also Big Data and Open Data and and we see that this combination is being used to create things like a generic API so that have 1 entry point for all that so that divers status that's 1 rule and you as at the heart security in a place where through 1 entry point you can have a look at the whole but there's also different ways
in which G is the linking paint uh is is seeing his role shift and 1 of the most significant ones I think is that it used to be when I talk to people in and geo-data privacy that's not our concern because here we deal
with maps and stuff and as a process we're not about practices but when you are the place where everybody combines everything else you certainly right smack in the heart of every privacy discussion in the world and I'm not sure we ask know working with due date of actually prepared for the we capable as technologist to dive into the questions the hot questions that come with it and that's already happening was so that the standard geodata but geodata
itself of course is shifting to the changing weather map looks like we had a multitude of sensors human beings themselves become objects on the map and we see everything in real time this suddenly issues enormous amount of ethical questions and privacy questions that we technologies never had to deal with really before in much the same way
that we see different types of responses to that 1 of the ways that organizations try to respond to it is by outsourcing some of the more trickier combinations in more privacy Center City steps in using data out so that 2 national statistics of because they have more legal maneuvering space to do that statistical office otherwise sort of brief and they can recombine any data that you want and they might give you back the results of that combination without you having to do In what what is now an illegal step because of privacy legislation but there is just so they band-aid basically for the real question so 1 of my
challenges for you today is if you look at GEO and your data has been at the core of all these privacy issues and you extended beyond 5 c 2 questions are so if we can combine everything if we or the generic API to every data set in the world and what does that mean what do we have do we want to allow people to do what should be possible what should not be possible in our tools that is not a question of just privacy by design or open by this time but the challenges doing affix bodies and I think the phosphogens community is already at the heart sector at the heart of where those values that you're going to these ethical questions of openness collaboration in creating value together already very much press so you seem to be a logical group to take these on despite the fact that many of you are technology a 2nd way that the role of GO shift things like what with when openness becomes the norm when G 0 becomes so the heart of every recombination of datasets and basically and the world bank Bengio itself will become less visible to I a user data and very much accustomed to having maps into the visualizations and and and work with that but if due date is just a step and ingredient along the way to recombine something then the result I'm interested in may not be geographically serve as a ransom that may not be a method may not contain any georeferenced and and as an example and of course
these ones that has a map of sort of paradox but as an example of the health care sector this is the most opaque sector in the world even though most governments spend about a 3rd of the national budget will move on health care was most opaque sector there in the data there's lots of lots of savings potentials to be found and you need a geographic references to find but once you found them you no longer need the geographic references to act on so due date is an ingredient in getting there but not an ingredient in result even though for I can be myself that maps but if you're to become
an in visible ingredient in lots of different recombinations of data what do you want to be as suppliers of data do you want to be a catalyst for a passive ingredient that's of OK we ate you and then resolves the all do you want to be an ingredient with an attitude an ingredient that knows what types of values it wants to drive 4th into the will types of values once spouse and or and an ingredient that actively engages into the hot questions that come along with combining datasets and those are the challenges
that I would like to send you on your way with for today in those already been an intensive week but like to add a couple of an intensive points here that is ask yourself and the word that you doing with geographic data where is the impact that you want to achieve and I are you bringing than your data to the stakeholders that can use it to create that impact on you and labeling new stakeholders on building new relationships with new people around today data held as the force for G community to keep the focus in the sector on Open Data openness is the key ingredient that brings new people to the table false the proof of a source community itself is very accustomed to these concepts but we need to be actively defend and to the myths and bring out false that concept into everything the region and not just result missing but do you use your values to create this pathway to efforts by design make geo not a passive part of a different routine making it an ingredient with a strong attitude and to build collective value and thereby actively shape the role of GOS the linking Open in the Open Data in the world and not just you allow it to happen to make it an active role in the world with thank you thank you very much for your time and attention