Iaso: all-in-one platform for data collection and geographical registry
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Wulf, Martin de
Iaso is a platform created to support geo-rich data collection efforts, mainly in public health in emerging countries. The key feature that it supports is that any survey is linked to an organizational unit that is part of a canonical hierarchy. Each one of these org. units can have a location and a territory. The mobile data collection tool can be used to enrich this hierarchy with additional GPS coordinates, names corrections, etc ... which can then be validated by officials of the organizations in question through the web dashboard (this is consequently similar in some aspects to OpenStreetMap, but with validation before integration in the reference dataset). This leads to continuous improvements of the geographic references available through the routine activities already planned (e.g. locating and registering health facilities while investigating malaria cases). The tool has been used in multiple data collection efforts, notably in health services in D.R. Congo, Niger, Cameroon, Mali and Nigeria and is more and more used to compare multiple versions of official organisational hierarchies when a canonical one needs to be rebuilt. We are for example working on such efforts to rebuild a school map for DRC with the NGO Cordaid. To help for this type of project, we provide location selection interfaces, multiple levels of audits and an API open to data scientists for analysis and mass edits. This presentation will demo the main features of the platform, and give some context about its creation. Iaso has been created by the company Bluesquare (, based in Belgium), specialised in software and services for public health, and has become open source under the MIT License in November 2020. It is still under heavy development, but is already the basis of at least a dozen projects. On the roadmap, we have features for a patient registry, monitoring tools for data collectors, and microplanning activities (producing routes for monitoring teams, or vaccination teams). Iaso is made of a white labeled Android application using Java/Kotlin and reusing large parts of the ODK projects and a web platform programmed using Python/GeoDjango on top of PostGIS. Frontend is mainly React/Leaflet. One of the aims is the ease of integration with other platforms. We already have csv and geopackage imports and exports and target easy integration with OSM. You can find the platform and its documentation here The mobile application is available here?id=org.bluesquarehub.iaso.demo Authors and Affiliations – Martin De Wulf, Bluesquare. Track – Software Topic – FOSS4G for Sustainable Development Goals (SDG) Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – English
 Now, we are going to hear Martin DeWolf from Blue Square. He's the CTO at Blue Square. He's a Belgian company specialized in public health projects in emerging countries. He will talk about LASSO, all in one platform for data collection and geographical registry. So we are going to welcome Martin. Hello Martin, how are you? Fine, fine, thank you. Thank you. It's YASSO, but everybody has a problem. Ah, sorry, sorry. So it's a night. So do you want to share your screen or introduce yourself? Maybe I didn't say something important. No, no, no, everything was white, so the CTO of Blue Square. Okay, that's very nice. I'll tell a little bit more during the presentation. Okay. I don't see your screen. Perfect. Great. Yes. Okay, I leave you to it. So I'm going sometime to switch from my slides to a live demo because I like to live dangerously. So this presentation is about YASSO. So the font can have a doubt about the name if it's YASSO or NASSO, but it's YASSO. So it's a platform for data collection and geographical registry. So it's a new web plus Android platform that is geared toward enhancing geographical data by benefiting from the routine health data collection activity. So I'll show you exactly what I mean by that. So about me, yes, I'm a software engineer by trade working at Blue Square, which is a public health software company based in Brussels in Belgium. I'm now the CTO of that company. My technical skills are on those technologies listed there by 300 and so on. And before that, I had a long history in startups and PhD in computer science from the University of Brussels. So that's about me. Maybe now a few words of where we are coming from. So first the name of the software, it comes from Greek goddess. So it's not an acronym. It's a goddess of health. So hence the name. So it's built as Blue Square. It comes from two projects, basically one which was about sleeping sickness. And I won't go into the details, but the main thing that came out of that is that there is a big routine activity about testing people for sleeping sickness, sending teams in villages that are actually not registered yet in official records. So the idea is that you send a team to make tests to people, but at the same time you collect GPS points about the village where they are living. So we are talking about countries where the mapping is actually not complete at all. So there was this first part, this part was about a system where we do data collection that is only made for sleeping sickness. And then we were also working with open source tools derived from ODK, so open data kit. And this provided us the technology to set up generic solutions for surveys and forms. And basically we merge both ideas. The rest of this talk will be about what this means, merging a system where you take a GPS point and you add information to an existing health pyramid or tree of org units, that's the name we use for that, and using a generic form. So let me then rephrase the concepts that we use in that system. So we have basically two important concepts. We have forms, forms as you can feel online, but you can specify through Excel files. So you can specify questions that have a type. For example, you can ask for an image or for GPS points or obviously for text or numbers. You specify the name of the question and the technical name and how it's going to be displayed in the mobile application. So this is ODK, I'm not showing anything that we invented there. But you have those forms and those forms can be then interpreted and presented in a mobile application or on the web so that you can fill them. And actually we added to that existing technology just the idea that you have a hierarchy of org units. So that's the picture I made here where you have, for example, countries and the top province households and this is configurable. It could be about schools, for example, and not about health. So we have different types of hierarchies that are living in the system. And so we have those hierarchies and each one is made of what is called organizational units and each one has those essential features, which is a name, a parent, a GPS point, or a territory or none of that sometimes, obviously. And we also have external IDs which will allow us to link to other systems and very importantly also a notion of groups, for example, two groups, the facilities funded by a given NGO, for example, or this kind of stuff. So these are the two main concepts. And what do we do with that? We do two things actually. So we'll do support a lot of routine data collection for various health systems. So we have all those apps on the Play Store, so it's Android only. Data are used to do data collection for health facilities mainly, but also there is some projects there about schools. The mobile application is working offline completely. It's centered around the notion of territory hierarchy and one small but important feature is that it's possible to suggest the addition of our units in that application. So this is very generic. So I will just show the application so that it's a bit more clear what we are talking about here. So it's an Android application. So here I have a simulator. I'll show one of these, but this is the one about collecting data about community health sites in DRC, so it's been deployed nationally now. And this is a very simple app. It's an app designed to have basically two buttons initially, one that allows you to start. So this is a French speaking app. This is a start button, and then you have an upload button to just upload the data. So what happens when you start encoding? You have first to pick where you are in the country, so very classical I would say, but you have to say in which province, then in which health zone you are, and so on. And I go to another one. Then in which health center you are. And then you are at the stage where you can add another unit, and for example in this application, so it's constrained, you can only create a community health site, not provinces or you cannot create everything anymore. But you can create a new unit, and it will appear in the hierarchy, so now it's in there. And for this one, you can fill a form, and we have two types of forms. Some forms are specified as I told you as Excel file, and you can start to fill them immediately, so you have a date. This is a form source, it's not very surprising, but what's cool is that in that kind of form, you can use the features of a mobile phone, and importantly you can ask for GPS points, and you can take pictures, so you get a fake picture. So you have this very simple form application that allows you to fill those forms, so I won't go to the end of the form, but you can fill all this and then send it to the system. And what we allow then is simply you get this data collection effort that will get you all those facilities appearing in the system for each one, so I'll just pick one for me so that you get an idea of what this looks like, but you are able to see the data, so this is a community health site that is appearing in the data collection with this picture, all the questions that you can fill there. And then it's linked to a health center and then a new community health site, and so what you can do then for such a community health site is validate it. So actually somebody that knows the country can double check that the data is correct, that the location is correct too. So I think this was this one, this one, there is a form that is linked to it obviously, so I need to... Yeah, yeah, here it is. So now you have, you know, there is a form that is linked to the community health site and you can decide that this is for example the official location of this site and you can do this kind of stuff, verify the data, verify the forms, and then when you think it's okay, you can change the status of this community health site and say that this one is validated and should appear for everybody in the system. So this is the part of data collection, so I'm about half of my talk and I cover the data collection part, so it's quite classical. So let's go back to the slide. The second part that is important into that system is that we actually, we allow you to load into the system multiple hierarchies. So you have a reference one usually, so we're mainly in health but it can be anything. But what happens a lot in projects is that actually you have the official data source, then you have multiple copies that derive it from it over time and there is additional data that is collected over the other hierarchies. And so basically in Iazzo what we will allow you is simply to have those hierarchies existing in the same system, so I'll show you what it means just after, and you can create links between actually the two, so for each org unit present in the system, let's say this is a facility, a health facility, you can find the equivalent in another data source and say okay those two are linked and then you can start to compare the data that you have on both systems. So this is the kind of stuff that we've been doing in some countries like Niger where we have been merging multiple data sources, for example there is the HMIS, the national health system that contains some information about health facilities, there was another data set containing information about communes which are small regions let's say, and then you have information about villages and you have to take all this and merge it together to the system. So we have a system that will allow all this to exist together in the system. And to link, so if you produce a result and then a referential for the graphical information in the country, you can actually link to the original data and understand where it's coming from the various data sets, so we do exactly that. Yes, and so we allow comparison and merging of multiple data source, there is as I showed you various status and comments feature allowing validation of the referential in a distributed way also in the sense that many people can interact, it's a centralized system of a web dashboard with different authorization and so people can validate for example only information for their region and we also implemented a lot of traceability and possible rollbacks on the data. Let me just show you what this all means practically. It means that for example, so I picked a good example to go faster obviously, but this means for example that you can in the same system discover a given for example, this is a health zone that is called the Asabonga and actually you can see the official shape which is in blue here, but you can also see the shapes that are existing in other data source which are the one in red actually and you can also see information about the health facilities that are supposed to belong to that health zone so you can easily spot that some of them are outside of it, so it allows quite easily to end user that are not so used with the GIS system to spot problems so we create this interface that will allow you to compare the various data source. So this is the first example, so here you have the original one and actually all the colors are giving you the information about where the data is coming from other sources, you can browse all this so it's very visible and you can also decide to reuse some of the shapes to replace the one that you have or to use points that you have here to replace the one that you have to improve the system and any change that you will make to the system will actually be kept so for example here I made a small change a few minutes before so you can see that one hour ago I made a change and I changed the geometry actually of this and I changed also the aliases so there are additional names that you can encode for each of units so for example this region is called YASA-BONGAZON de santé sometimes it's called BONGA-YASA-YASA-BONGA there are alternative names that you can have here so we support all that and also we allow you to browse the links to other data sources that matches the slides I was showing just before and you can for example see that in that data source there are different namings that are used the creation data may be not that interesting but for example you can also see the difference in shapes and so on so it's really done to support this comparison and merging of multiple data source okay and again normally here we don't have a form but if there was a form you could find it here and also use that information to enrich your system okay I think I covered quite a lot I showed what you have for shapes but obviously it works also for points so for example here we have a health center that is in Kinshasa in Congo and you can see for example that there is an official point here but that through various data collection we have additional points that have been collected for lots of various activities and actually you can just see all of them and decide which one is the white one and this is a work that is supposed to be done by people knowing the field and able to make the decision they can also reuse sometimes just the information that is available through open street maps through the maps that are actually the bottom layer there we have multiple layers that are possible and we support also features or comments if you need to put a comment on something that you think a bit strange okay so that was for the demo so the big picture is that so Yasuo is a system that is able to handle hierarchies of org units with geographical information we can send that information to a mobile application where it can be enriched with additional org units and then forms that you fill out of the org units we can load data from additional sources CSV files, geo package, NGHI2 which is one of the main things that we are working with which is an open source software for health data and also we provide an API so you can actually work with that data create links create algorithms that will match data between various data sources and so using an API and we do a lot of that using mainly jupiter notebooks and in general data science tooling okay so I covered what's in this slide so what I didn't have time maybe to to mention is that we have a lot of additional features in terms of multi-search or doing search over multiple data sources at the same time it's multi-tenant so you have multiple accounts for different geos on the same server see it's open source I forgot maybe to mention it so far but it's available on github and you can install and test it and we have also lots of feature flags in terms of mobile apps so you can have authentified user or automatic upload when network connection is available because the mobile app is working totally offline but you can force it to upload data every time a collection is appearing in term of tech we are as I mentioned Python and ODK based and maybe what's important to know is that we are going in the direction of supporting micro planning activities with this software which means planning the activities of the team in the field based on the organics and the form to field so also to save data and geographical data for example so what is Ciazo? It's a routine data collection tool supported through generic mobile apps it allows enhancement of geographical data thanks to mobile device GPS so that's actually what's happening now there are new devices appearing in those countries and we can start to use it it allows comparison and merging of multiple data sources in a single data set it's a validation tool for officials and it has interfaces both for user from non-programming backgrounds so that's what I show but also for data scientists through APIs and various simple screens so that's it and maybe last point I mentioned here also that they were in the short term the will to do integration with open-street map from importing data but also for exporting and we could compare Ciazo at some point with the philosophy of open-street map in the sense that it has the same idea of crowdsourcing data but the main difference is that we do validation by officials so the end goal is to provide tools to officials of countries to enhance and decide on the referential geographical reference for their country and that's it thank you Martin that's a very nice presentation it looks very very useful the app so let's check questions please post your questions in the question pool no question till now I have one I wanted to know if I didn't understand and wrong you only can upload point features no no no no no you can upload shape we have a geopackage import mainly but very very often geographical feature will come from DHS2 which is the software used to host the health data of a lot of countries in the middle of Africa oh okay that's great and the info that you can connect to that features is also wide or you just have some only some fields that you can like structure fields or is free but space yeah so the geographical information you have shapes or points to for those records but to any of those records you can link as many forms that you wish for there is one of those forms that is the that is supposed to be the the the how to say that the standard one with the the information that is official but you can also have multiple variants of that data so for example if you want to to know what was the state of the number of beds of health facilities two years ago you can have a form that is give you that information and then you have the current value in another form that is the current one so we do okay great that sounds very useful you are currently using it yeah yeah the DRC we're working in it for our pbf so finance for health systems projects in at least eight to nine countries currently so yeah that's quite a lot of usage now do you know if the local authorities are using this information for management of this question of these things sorry yes yes we the system feedback into a dhs2 and it means that for not only for Niger and DRC we've been asked to to to feedback information into the national health system that had been collected and curated through through the system okay right we have one question from can the user interactively modify information stored can any can the user interactively modify information stored yes yes you can modify shapes points anything but but uh and and we try to keep the traceability of all changes too so so yes but we also know who made a modification and we can hold back that great okay thank you very much martin for your talk it was very interesting um okay we say bye to martin nice we are going to be back in five minutes with rosa ilar and her talk about an open geospatial interactive tool to support collaborative special planning
 Now, we are going to hear Martin DeWolf from Blue Square.  He's the CTO at Blue Square.  He's a Belgian company specialized in public health projects in emerging countries.  He will talk about LASSO, all in one platform for data collection and geographical registry.  So we are going to welcome Martin.  Hello Martin, how are you?  Fine, fine, thank you.  Thank you.  It's YASSO, but everybody has a problem.  Ah, sorry, sorry.  So it's a night.  So do you want to share your screen or introduce yourself?  Maybe I didn't say something important.  No, no, no, everything was white, so the CTO of Blue Square.  Okay, that's very nice.  I'll tell a little bit more during the presentation.  Okay.  I don't see your screen.  Perfect.  Great.  Yes.  Okay, I leave you to it.  So I'm going sometime to switch from my slides to a live demo because I like to live dangerously.  So this presentation is about YASSO.  So the font can have a doubt about the name if it's YASSO or NASSO, but it's YASSO.  So it's a platform for data collection and geographical registry.  So it's a new web plus Android platform that is geared toward enhancing geographical data  by benefiting from the routine health data collection activity.  So I'll show you exactly what I mean by that.  So about me, yes, I'm a software engineer by trade working at Blue Square, which is  a public health software company based in Brussels in Belgium.  I'm now the CTO of that company.  My technical skills are on those technologies listed there by 300 and so on.  And before that, I had a long history in startups and PhD in computer science from the University  of Brussels.  So that's about me.  Maybe now a few words of where we are coming from.  So first the name of the software, it comes from Greek goddess.  So it's not an acronym.  It's a goddess of health.  So hence the name.  So it's built as Blue Square.  It comes from two projects, basically one which was about sleeping sickness.  And I won't go into the details, but the main thing that came out of that is that there  is a big routine activity about testing people for sleeping sickness, sending teams in villages  that are actually not registered yet in official records.  So the idea is that you send a team to make tests to people, but at the same time you  collect GPS points about the village where they are living.  So we are talking about countries where the mapping is actually not complete at all.  So there was this first part, this part was about a system where we do data collection  that is only made for sleeping sickness.  And then we were also working with open source tools derived from ODK, so open data kit.  And this provided us the technology to set up generic solutions for surveys and forms.  And basically we merge both ideas.  The rest of this talk will be about what this means, merging a system where you take a GPS  point and you add information to an existing health pyramid or tree of org units, that's  the name we use for that, and using a generic form.  So let me then rephrase the concepts that we use in that system.  So we have basically two important concepts.  We have forms, forms as you can feel online, but you can specify through Excel files.  So you can specify questions that have a type.  For example, you can ask for an image or for GPS points or obviously for text or numbers.  You specify the name of the question and the technical name and how it's going to be displayed  in the mobile application.  So this is ODK, I'm not showing anything that we invented there.  But you have those forms and those forms can be then interpreted and presented in a mobile  application or on the web so that you can fill them.  And actually we added to that existing technology just the idea that you have a hierarchy of  org units.  So that's the picture I made here where you have, for example, countries and the top province  households and this is configurable.  It could be about schools, for example, and not about health.  So we have different types of hierarchies that are living in the system.  And so we have those hierarchies and each one is made of what is called organizational  units and each one has those essential features, which is a name, a parent, a GPS point, or  a territory or none of that sometimes, obviously.  And we also have external IDs which will allow us to link to other systems and very importantly  also a notion of groups, for example, two groups, the facilities funded by a given NGO,  for example, or this kind of stuff.  So these are the two main concepts.  And what do we do with that?  We do two things actually.  So we'll do support a lot of routine data collection for various health systems.  So we have all those apps on the Play Store, so it's Android only.  Data are used to do data collection for health facilities mainly, but also there is some  projects there about schools.  The mobile application is working offline completely.  It's centered around the notion of territory hierarchy and one small but important feature  is that it's possible to suggest the addition of our units in that application.  So this is very generic.  So I will just show the application so that it's a bit more clear what we are talking  about here.  So it's an Android application.  So here I have a simulator.  I'll show one of these, but this is the one about collecting data about community health  sites in DRC, so it's been deployed nationally now.  And this is a very simple app.  It's an app designed to have basically two buttons initially, one that allows you to  start.  So this is a French speaking app.  This is a start button, and then you have an upload button to just upload the data.  So what happens when you start encoding?  You have first to pick where you are in the country, so very classical I would say, but  you have to say in which province, then in which health zone you are, and so on.  And I go to another one.  Then in which health center you are.  And then you are at the stage where you can add another unit, and for example in this  application, so it's constrained, you can only create a community health site, not  provinces or you cannot create everything anymore.  But you can create a new unit, and it will appear in the hierarchy, so now it's in there.  And for this one, you can fill a form, and we have two types of forms.  Some forms are specified as I told you as Excel file, and you can start to fill them  immediately, so you have a date.  This is a form source, it's not very surprising, but what's cool is that in that kind of form,  you can use the features of a mobile phone, and importantly you can ask for GPS points,  and you can take pictures, so you get a fake picture.  So you have this very simple form application that allows you to fill those forms, so I  won't go to the end of the form, but you can fill all this and then send it to the system.  And what we allow then is simply you get this data collection effort that will get you all  those facilities appearing in the system for each one, so I'll just pick one for me so  that you get an idea of what this looks like, but you are able to see the data, so this  is a community health site that is appearing in the data collection with this picture,  all the questions that you can fill there.  And then it's linked to a health center and then a new community health site, and so what  you can do then for such a community health site is validate it.  So actually somebody that knows the country can double check that the data is correct,  that the location is correct too.  So I think this was this one, this one, there is a form that is linked to it obviously,  so I need to...  Yeah, yeah, here it is.  So now you have, you know, there is a form that is linked to the community health site  and you can decide that this is for example the official location of this site and you  can do this kind of stuff, verify the data, verify the forms, and then when you think  it's okay, you can change the status of this community health site and say that this one  is validated and should appear for everybody in the system.  So this is the part of data collection, so I'm about half of my talk and I cover the  data collection part, so it's quite classical.  So let's go back to the slide.  The second part that is important into that system is that we actually, we allow you to  load into the system multiple hierarchies.  So you have a reference one usually, so we're mainly in health but it can be anything.  But what happens a lot in projects is that actually you have the official data source,  then you have multiple copies that derive it from it over time and there is additional  data that is collected over the other hierarchies.  And so basically in Iazzo what we will allow you is simply to have those hierarchies existing  in the same system, so I'll show you what it means just after, and you can create links  between actually the two, so for each org unit present in the system, let's say this  is a facility, a health facility, you can find the equivalent in another data source  and say okay those two are linked and then you can start to compare the data that you  have on both systems.  So this is the kind of stuff that we've been doing in some countries like Niger where we  have been merging multiple data sources, for example there is the HMIS, the national health  system that contains some information about health facilities, there was another data  set containing information about communes which are small regions let's say, and then  you have information about villages and you have to take all this and merge it together  to the system.  So we have a system that will allow all this to exist together in the system.  And to link, so if you produce a result and then a referential for the graphical information  in the country, you can actually link to the original data and understand where it's coming  from the various data sets, so we do exactly that.  Yes, and so we allow comparison and merging of multiple data source, there is as I showed  you various status and comments feature allowing validation of the referential in a distributed  way also in the sense that many people can interact, it's a centralized system of a web  dashboard with different authorization and so people can validate for example only information  for their region and we also implemented a lot of traceability and possible rollbacks  on the data.  Let me just show you what this all means practically.  It means that for example, so I picked a good example to go faster obviously, but this means  for example that you can in the same system discover a given for example, this is a health  zone that is called the Asabonga and actually you can see the official shape which is in  blue here, but you can also see the shapes that are existing in other data source which  are the one in red actually and you can also see information about the health facilities  that are supposed to belong to that health zone so you can easily spot that some of them  are outside of it, so it allows quite easily to end user that are not so used with the  GIS system to spot problems so we create this interface that will allow you to compare the  various data source.  So this is the first example, so here you have the original one and actually all the colors  are giving you the information about where the data is coming from other sources, you  can browse all this so it's very visible and you can also decide to reuse some of the  shapes to replace the one that you have or to use points that you have here to replace  the one that you have to improve the system and any change that you will make to the system  will actually be kept so for example here I made a small change a few minutes before  so you can see that one hour ago I made a change and I changed the geometry actually of this  and I changed also the aliases so there are additional names that you can encode for each  of units so for example this region is called YASA-BONGAZON de santé sometimes it's called  BONGA-YASA-YASA-BONGA there are alternative names that you can have here so we support  all that and also we allow you to browse the links to other data sources that matches the  slides I was showing just before and you can for example see that in that data source there  are different namings that are used the creation data may be not that interesting but for example  you can also see the difference in shapes and so on so it's really done to support this  comparison and merging of multiple data source okay and again normally here we don't have  a form but if there was a form you could find it here and also use that information to enrich  your system okay I think I covered quite a lot I showed what you have for shapes but obviously  it works also for points so for example here we have a health center that is in Kinshasa  in Congo and you can see for example that there is an official point here but that through  various data collection we have additional points that have been collected for lots of  various activities and actually you can just see all of them and decide which one is the  white one and this is a work that is supposed to be done by people knowing the field and  able to make the decision they can also reuse sometimes just the information that is available  through open street maps through the maps that are actually the bottom layer there we have  multiple layers that are possible and we support also features or comments if you need to put  a comment on something that you think a bit strange okay so that was for the demo so the  big picture is that so Yasuo is a system that is able to handle hierarchies of org units with  geographical information we can send that information to a mobile application where it  can be enriched with additional org units and then forms that you fill out of the org units  we can load data from additional sources CSV files, geo package, NGHI2 which is one of the main  things that we are working with which is an open source software for health data and also we provide  an API so you can actually work with that data create links create algorithms that will match data  between various data sources and so using an API and we do a lot of that using mainly  jupiter notebooks and in general data science tooling okay so I covered what's in this slide so  what I didn't have time maybe to to mention is that we have a lot of additional features  in terms of multi-search or doing search over multiple data sources at the same time it's  multi-tenant so you have multiple accounts for different geos on the same server see it's open  source I forgot maybe to mention it so far but it's available on github and you can install and  test it and we have also lots of feature flags in terms of mobile apps so you can have authentified  user or automatic upload when network connection is available because the mobile app is working  totally offline but you can force it to upload data every time a collection is appearing in  term of tech we are as I mentioned Python and ODK based and maybe what's important to know is that  we are going in the direction of supporting micro planning activities with this software  which means planning the activities of the team in the field based on the organics and the form  to field so also to save data and geographical data for example so what is Ciazo? It's a routine  data collection tool supported through generic mobile apps it allows enhancement of geographical  data thanks to mobile device GPS so that's actually what's happening now there are new devices  appearing in those countries and we can start to use it it allows comparison and merging of  multiple data sources in a single data set it's a validation tool for officials and it has  interfaces both for user from non-programming backgrounds so that's what I show but also  for data scientists through APIs and various simple screens so that's it and maybe last point  I mentioned here also that they were in the short term the will to do integration with  open-street map from importing data but also for exporting and we could compare Ciazo at some point  with the philosophy of open-street map in the sense that it has the same idea of crowdsourcing data  but the main difference is that we do validation by officials so the end goal is to provide tools  to officials of countries to enhance and decide on the referential geographical reference for their  country and that's it thank you Martin that's a very nice presentation it looks very very useful  the app so let's check questions please post your questions in the question pool no question till now  I have one I wanted to know if I didn't understand  and wrong you only can upload point features no no no no no you can upload shape we have a  geopackage import mainly but very very often geographical feature will come from DHS2 which is  the software used to host the health data of a lot of countries in the middle of Africa  oh okay that's great and the info that you can connect to that features is also  wide or you just have some only some fields that you can like structure fields or is free  but space yeah so the geographical information you have shapes or points  to for those records but to any of those records you can link as many forms that you wish for  there is one of those forms that is the that is supposed to be the the the  how to say that the standard one with the the information that is official but you can also  have multiple variants of that data so for example if you want to to know what was the state of the  number of beds of health facilities two years ago you can have a form that is give you that  information and then you have the current value in another form that is the current one so we do  okay great that sounds very useful  you are currently using it yeah yeah the DRC  we're working in it for our pbf so finance for health systems projects in at least  eight to nine countries currently so yeah that's quite a lot of usage now  do you know if the local authorities are using this information for management of this question  of these things sorry yes yes we the system feedback into a dhs2 and it means that for  not only for Niger and DRC we've been asked to to to feedback information into the national health  system that had been collected and curated through through the system okay right we have one  question from can the user interactively modify information stored can any can the user interactively  modify information stored yes yes you can modify shapes points anything but but uh and and we try to  keep the traceability of all changes too so so yes but we also know who made a modification  and we can hold back that great okay thank you very much martin for your talk it was very interesting  um okay we say bye to martin nice we are going to be back in five minutes with rosa  ilar and her talk about an open geospatial interactive tool to support collaborative  special planning
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