 Dankjewel, het is altijd te vinden waar mensen opgeblasd zijn voordat we beginnen. Dan kunnen we dat niet meer lopen. Het is heel hond hier voor jou ook. Oké, ik hoop dat we het een beetje honger kunnen maken. Ik weet dat we bijna in de break zijn. Ik hoop dat je er wat energie van hebt om te luisteren. Ik heb er ook een kwartje van te zeggen. Toen is mijn naam, Spanverschor. Ik ben van de Greenland en ik ben hier samen met Jorgen van de Berg. We doen de presentatie en we zijn hier ook samen met Paul Zakenberg. Ik ben hier ook van de Greenland. En Rick Weynel, we zijn een hele team. Lulou van de Lamezijn. Jan ook hier. Jan is er ook. Jan Berenke. En Mark Vries. Heel geliefbaar. We missen Paul Zelsgrasso. Wie is niet van de Greenland? Oké, welkom. Ik weet welke ze zijn, maar we weten niet wie jij bent. Eerst, wie is van de Vlaanderen? Oké, wie is van... Ik heb van Wallonia. Ik switche op de Translate. Oké, wie is van België? Oké, goed. En wie is van de Nederlands? Oké, welkom ook. En wie is van de non-government? Non-government. Oké, oké, oké. En wie is van de Overdata re-user? Wie is van de Overdata-owner? Wel, het eerste is vandaag om te verbinden met jouw environment. Want dat is, in our opinion, de belangrijkste ding voor open data. Dus please rise and give a hand to the nearest person next to you who you don't know. Oké, en nou, ik heb zo'n... Jij, dus je kunt opstaan, als je wilt. Dus we gaan, ja, do some statements, where you can raise your hand. Alley de Greenlands stands. Everyone stands up, please stand up. So it's standard comedian. It's warm. And so now you know how warm it is and my height always. Oké, let's have a couple of statements. They don't come on the screen, but I will, then you're going to think too much about it. So I'm going, the first statement is... Open data is a good strategy for meeting transparency objectives. If it's just, raise your hands. One more, one more time. Open data is a good strategy for transparency objectives. Raise your hands. Oké, the people who raise their hands sit down. Is that really bad? No, no, no. Oké, stand up, please. I can't read open data, so I don't know what it is. And, oké, it was going to be a long half hour this. Pernising open data will encourage innovation. Everybody sit down. Who says yes, sit down. Oké, next one, to speed things up. We'll stay seated. Oh, please rise. Oké, next time we do it the other way around. To speed things up, it's good to start publishing low hanging fruit data. That's very easy to publish data. Well, let's publish something and let's go low hanging fruit data. Who thinks it will speed things up? Oké, who says yes, please sit down. Oké, we gaan op. Oké, publish data and it will be used. Oh, very good. So, scientific challenges can be solved with open data. Please sit down. I don't know what's good or wrong. It's not a game about good or wrong. We need an open data's ecosystem. Please stand up. Oké, and last but not least, the truth is out there. Oké, give yourself a hand, very good. You are all open data heroes. Thank you. It goes faster than I thought. Well, today we are together. Welcome to the clicker. Oh, yeah, this is my own presentation. Normally I present that only for myself. And today we are together to talk about Flavoland Smarter. Working together on open data. Flavoland is going to tell us about Flavoland Ace. Flavoland is working together on open data. Who is working together on open data? Well, there are no three, no four misketeers. The local water authority of Sardus Aeland. The municipality of Leestam, this is in the Netherlands. This is Flavoland, it's in the Netherlands, there. The province of Flavoland and the municipality of Almere. We, as a Greenland, we help them working together on open data. We have one goal, and we, as I told for the governments, we have only one goal, is to support external stakeholders, environment with open data. A very important in a way, it serves their operations and our as a GoF assignment at the same time. Only then open data will succeed. That's my opinion. Every other opinions, but what I say is not what I say. Truth from my perspective. Only one goal. Ok, where did we start? We start in the organization. Because when we want to go to external stakeholders and assignment as a GoF and their operations, data ask, whatever I am, do something with data, I don't know the network. I don't know the stakeholders. I don't know their operation, and I don't know your assignment as a GoF. So I have to go there. So what we did, we went there. This is the robot you have seen probably. Here on the balcony. We organized sessions for governmental policy makers, implementations, colleagues, et cetera. We asked and looked for enthusiastic people who want to work with open data in their assignment. So we did. A lot of people came, it was a lot of fun. Standing, sitting, standing, all that kind of stuff. Writing things down, it was really cool. We ended in five cases. Vijf cases, how can open data support communication about maintenance of bridges and logs. I never heard of it, but now I know everything about it. The local reuse of local waste wood in Amir. They have a lot of trees, a tree, illness, and all the wood has to go anywhere else. But they want to have a reused local. Farmers in soil, so how can open data support farmers in soil subsidence areas Jochem wil tell us something about that. How can open data support telling the story of Flavelland to the world. And how can open data support communication about maintenance in residential areas. This is from Lelystad. This is for province Flavelland. This is for the water authority. This is for municipality of Amir. And this is also for the province of Flavelland. Is there something? Oh, it's the echo. It's the echo, yeah. It dropped down, I think. Okay. What is our approach? I've also looked at the time, thank you. Our approach is this. We have to start outside, because our goal is help external stakeholders. So we start, this is the playing field we are in, in our open data project. We start in the external stakeholders. Who are you? Who are they? And who are they? And what's their business? What are their activities? And then listen to them. Find trigger points for data. How can data help their activities, their business in a way it means my assignment. And it means also their primary business. There are all kinds of solutions which they use for their business where this data can be used. We're going to illustrate this with a problem of exorbitant. Jo, thank you very much. Well, the first case I'll tell you about is the case about the story of Flavelland. And I want to ask the non-Dutch people here if they can tell me what is special about Flavelland. What's the name? Already with the name Naderland is also a weird name. Someone else? It used to be water. Exactly. Very good. It used to be water. In the 20th century, for almost half a century, was the biggest land reclamation project of the world. And it still is actually. And they reclaimed land from the sea. Right now it's a lake, because they closed it down. And they built cities on it. They selected the perfect citizens, for example my grandparents were selected as the best farmers of the Netherlands to go there and farm there. Because they wanted to create a new society on this whole new province. And this is a unique story. And only one person here who is not from the Netherlands knows it. And even in the Netherlands we look at Flavelland. It's a bit of a boring province. Nothing really happens there. We look down on it a little bit. And that's why the province of Flavelland they really want to tell this story to the world. En they have formulated a new policy and mission to have in 2030 that the whole world knows the story of Flavelland. So together with us, this is an image from really in the beginning it says neighborhood. They didn't have a name for it yet. So it just said neighborhood. And that's how the whole cities were created. En what did we want to do what they came to us with was the channels to tell the story. And can we use open data to tell the story. So together we went looking for how can we use open data to tell the story. Who are the players in this field of this historical story of Flavelland. We have the Flavelland archive who has all the materials of Flavelland of the past 50 years. We have projects in Flavelland who are already telling historical stories about for example water heritage. For example the green elements the forestry commission is creating a book right now about the history of Flavelland. So they need materials of data or data to tell the story of Flavelland. But we also thought we want to reach as many people as possible. What channels are we going to use? Are we going to build a website again purely focused on Flavelland and is this website going to reach enough people so that the whole world knows the story of Flavelland by 2030. We didn't think so. We said we want to look for channels that have a big reach and that reach the whole world. We cannot ask you for example if you search on your phone what do you use to search? Exactly. And what is most of the time the first hit on Google? Exactly. So we thought we want to use Wikipedia to publish open data to publish open data to publish open data from these stories that we have found the stories are about the water heritage and about the forestry commission and together with the Flavelland archive we want to publish these collections on Wikimedia Commons. And by doing so we learn how to do this for these collections but we also learn the Flavelland archive we learn the Flavelland province to publish this and so if they can do this for this dataset they can do this for every dataset and for every team and for every project. And that is what we are trying to achieve here that they can scale this up to watch also the example from the National Archive in the Netherlands who publish almost all of their photo material on Wikipedia and right now have 70 million page views per month. And Frank will tell you now about the bridges and lots. And one thing of this project is that we are in the last phase the last phase of the project so we are now ready to have the most time we spend on understanding the business, connecting with people etc. We still haven't and that's almost I'm proud of it that we still haven't published substantial datasets because we are only busy with understanding the business what's going on there what will help people and then we go into to publish data. So this will be live in about one or two months. So I will tell something about the communication about maintenance of bridges and logs. The province the communication with their environment is very important. In the next five years there will be large maintenance of bridges and logs in the whole province of Leuveland. En it causes also logs so that you can pass the slides or you can pass blocks and you can pass the bridge or you can't pass the slides or the logs. So that's very important for them to communicate. They heard about the data in the session can you help us? Ok, yes we can. So we start in the environment. Who we have talked to residents we have talked to farmers near to bridges near to logs we have talked to boat constructors who are behind the log doing their business we have talked to tourist organizations hotels all that kind of stuff watch your relation with the bridge and how important is that it functions and when it doesn't function what does it mean for you and how can we help with with data so we did, for example we talked to this transportation organization for sand and shins stones for example what they said the only thing I want to know is when the bridge is locked so I can pass it and how long it will take because if it's locked the whole day I go over it and if I can't over it I have to choose am I going to make a detour of 40 kilometers or am I going to wait so there's time and money for them it's very important to know that information on the other hand it's very important to know the planning of maintenance because they plan their work also on that planning because if they make a detour on the other side of the water where the bridge is over and they have to drive 40 kilometers more they will come to that to their customer so that's for them very important so that's for example we have a lot of this kind of chances we harvested from the conversations and we are going to execute that so you don't have to read this what people want there are all kind of channels and what we are going to do about that for example the province of Flevoland they had a strategy to use twitter for communication about the maintenance of bridges and logs no one who is cool who is spoke use twitter no one and they also said well this is from whole Flevoland the farmer next to the Albert Brug want to know information about Albert Brug all this is too much and only at the moment that it's relevant for him in the time that he needs it he is on the land and he has only a simple telephone and he only uses whatsapp so what we said don't use twitter for direct communication but these messages are very interesting so can't we get the messages can't we make a database of the messages and then feed other channels but that's one example what the result is from the conversation on the other hand this is for router traffic the organization fills the local traffic control system from there data is going to the national data warehouse traffic and they publish open data so but they don't know that this data is going to this pipeline and at the end comes to all navigation systems and all other services for people they don't know that that's what we are going to do we are going to tune this we are going to look at this pipeline so how can we tune the communication about maintenance of bridges and locks they only register for themselves and not knowing that this is used for the environment on the other hand we are going to look can we probably use this open data it is there already so we don't have to publish it it is already there for us to communicate to the farmer via whatsapp or to publish that on our website this is an example of more chances with open data which we are going in the next month also to operate the next case is also related to farms but as I told you playblons built from the sea so they put land in the sea and right now it looks like the land is also realizing that playblons a little bit boring so it is going to subside again into the water so there is a lot of problems in the province with the ground we spoke to one farmer 70 centimeters down in 10 years we have a lot of problems with this, not only farms but a lot of different players in the area and this is a project together with the water authority and the water authority also of course is a lot of problems because of this subsidence in the area and the water authority also is a relatively unknown anonymous government in the Netherlands so they also want to go more outside and be more visible and to share more their data and in that sense help other players in the field so these import two ambitions or challenges we wrote a challenge together with the water authority and it goes like how can open data support farmers in subsidence areas in their primary activities and as you can see we really went to the farmers the farmers and the context of the farmers in the water authority it collides on soil and water so that's where they meet each other and we went to the farmers and we went to have a conversation at the kitchen table we brought pie for them they gave us milk as you can see and we asked them how can we help what are your challenges in relation to soil and water what problems are you right now experiencing when doing your primary activities and they told us water on my land my crops gotta grow bad or they say the water quality I don't know the water quality the water quality of the water I use to water my crops because the measurement points of the water authority are too far spread out through the province or they told us I do not know the water level so I have to know the water level of the groundwater in order to know what machines I have to use to water my land in these conversations we were continuously looking for trigger points with data so what data do they use to solve their problems do they use data of governments do they collect data themselves so we were continuously harvesting information and data points and the next slide is everything we harvested you don't have to read it but these are the streams that we collected the important one was about the soil subsidence they have so many problems because of the soil subsidence one parcel of land in one parcel of land there can be ten different points of height so it's very difficult to work your land if that's the case the groundwater can be only ten centimeters from your soil so when you work it with a heavy machine you completely destroy your soil and what we found actually are three important things one farmer was a biological farmer providing to supermarkets in the UK and they need to provide exact water information about the water they used to water the products but as I said the water measurement is not precise enough so he has to measure it himself it costs him a lot of money another example is that for the height levels they use data that is six years old while the farmers themselves they measure it every time they work the land so the water authority uses all data it's also an outcome of this project and another one as I told you already used popular channels the farmers that told us they used a solution that's already processing open data on parcel level so they have all layers of information it's all open data and the water authority can just connect to this solution provide them with their open data and the water information would also be here so again they are much better in reaching your clients than you as a government are so connect to them very good thank you Johan we have a couple of minutes so I will give you some extras some insights what we've heard no assumptions too many assumptions are being done about open data and reuse of open data always connect to your environment understanding is key and for data officers always connect to the business prevention I call it with your data itself go always connect to the business what they need and help them also connect to their environment en just data structure to what is needed out there there's always a gap between the data and what's needed and you can never directly use the data for the need in a way we get from the conversations do not pre-event the wheel use popular solutions like wikimedia, like Bure-Mendem the changes in the data are most valuable for acting that's what we notice when people want to know the changes because then they can act on that change open data are only valuable when they need so never publish without reuse that's our insights so that's there are more this is very important what we've learned for the time we have you have seen this plain field this is the core you have to cover all the circles all the rows within the ring circle I ask you are you in the circle or are you out who's in who's out very honest also thank you very much 2 minutes because Jokom en Rik they will give you cards and what I want to ask you is to connect with this card to someone you know in your environment in your network who you want to connect with and want to talk about open data about the business solution data whatever just send them a card cause of the time we want to ask you to write them now cause you can also write them now and if you write them today you give them to us in our stand we will post them for you and you won't buy a post then we'll do that for you so that's it, I think a very good offer so please send someone in your network and say well today I'm in a session with those dudes guys we post cards about open data so blame us don't care send the card you can also send it to us well nice story please come here preferable to someone else thank you very much I'm sorry you were not allowed to ask questions next time Frank, thank you for the feedback thank you