 So good morning and welcome everybody to our data for good workshop as part of the ESRC, the Economic and Social Research Council's Festival for Social Science. We're really pleased to be offering this workshop to you today and we hope you all enjoy it. It's very much being co produced. There's been lots of collaborators and partners involved in this. My name is Patty Dora and I'm from the UK Data Service at the University of Manchester. And with me today is my colleague, my colleague, and we've also got Suzanne and Lucy from the Greater Manchester Center for Voluntary Organization, as well as Lucy Web from Manchester Metropolitan University. Quite a big collaboration. And as well as that we've got case studies from Victoria from the Young Foundation, Mark from Circle, Hanif from the Ethnic Health Forum and Tom from Independent Age. So there's a lot of us involved today. So bear with us if we have any technical issues changing screens and changing speakers. And I think what we've got is a great program to showcase different sorts of data and how it can be used for good in the VSE sector, VSE sector. And so we believe that the voluntary community and social enterprise sector enriches society in many ways, and all the ways that enriches society could be measurable. So there's a range of data available at different levels across society and the sector and service level that can be used and the state of therefore can be used for good. Just to elaborate a bit on how we've structured it so we've structured the workshop today, looking at these three different levels of data. So society level data so there's like national surveys which give the national context or further than national surveys as well. And these, the sort of data measures trends attitudes and change over time. And then sector level data so that's data about the organizations working in the area. So how they've funded how they develop what the gaps are what the needs are, and then also service level data so this is looking at the data that's generated from the services and organizations that you all come from. And this might be demographics about the service users, or it might be about the needs and the provisions and the experiences of people from within those organizations. So that's how we've divided up the workshop today looking at those three levels of data. And so after my introduction we're going to start by looking at sectorial data. And that's going to be led by Dermott. That section will finish at 11 o'clock promptly to allow for two minutes silence followed by a break. So we'll actually just stop and have a 10 minute break at that time. And then come back at 10 past 11, where we'll look at service level data and Lucy, we're just going to organize or facilitate that for us. And then I'm going to bring come back in the end to talk about societal data. And then at the end, we'll have questions and discussions will have limited time for questions and discussions throughout the workshop before then, because we've got a lot to get through and we want to make sure that everyone gets their chance to give their case studies and their section gets the full full time it sort of deserves. And so that's the program for today. Hopefully you've all got access to that as well from emails. And that's also all on a website that we've put together on a GitHub page data for good. So, and that should be coming up in the chat now if you want to go have a look at the website and we'll be referring to that throughout the workshop. So I'll hand over now to Dermott to talk about part one sectorial data. Thank you. Thank you, Patty. I'm Dermott. I'm a colleague of Patty's at the UK data service and also attached to the third sector research center in the University of Birmingham. So I'm going to talk about the aggregate level data about the voluntary community and social enterprise sector here in the UK. So we really focus on data resources that refer to England and Wales, Scotland as well to a certain extent. And there's a lot happening across the water in Northern Ireland and the Republic of Ireland in terms of access to data some really good stuff. And I won't cover it exactly today but be aware that there's really good stuff a lot that's appearing as we speak so there's lots of good opportunities for some comparative work. So the driver really of what I want to speak about today and I think the broader event is that often when data is mentioned with respect to, you know, the voluntary community, social enterprise sector, the charity sector is often in a slightly repatriation way. There's lots of think tanks, there's lots of, you know, government reports, these high level reports that say, you know, charities could make much better use of data, they could approve their services, they could solve problems, etc. What we're coming from is tackling the same issue, but from a different perspective, which is that there's actually a great deal of really good work out there already being done by these organizations. And that the real issue for us really is just bringing those case studies and those examples to light so that other organizations can learn from best practice in the sector. So today is really about showcasing what is being done what's really good already, as opposed to being, you know, a bit more top down and a bit more patronizing saying, could you just get better at using using data. As you see today, lots of organizations are really really good at what they do. The structure of this section is I'll just give a very very brief overview of four or five of the kind of key and high level data resources that you can access about the sector here in the UK. And we've got a really interesting case study from the Young Foundation some work that you may have already seen actually it's gained quite a bit of traction it's really interesting it's really interactive. I'm going to do a data demonstration of a data set that's just kind of come to light, unfortunately, because of the COVID situation. It's emergency response grants to voluntary organizations to deal with that public health emergency. And then we've got a bit of a scavenger hunt for the last five, 10 minutes of the session. So on that I will do the first section. So I'll assume unless I get furious clicks and messages in the chat that you can all see what's happening at the moment. So I'm going to talk about sectoral data. What that means, very simply is we're talking about data about the voluntary and community and social enterprise sector. So it's not data generated by the organizations themselves. It's not data that's generated for those organizations. You know, like large scale social surveys or census data or deprivation data. It's not data for the sector. It's not data generated by the sector. It's data about the sector. It describes the sector in aggregate and high level terms, total number of organizations, income mixing, board composition, geographical distribution, service distribution, etc. And I'll go through some of the key resources that we can use. But as long as we're clear, we'd like to think there's data from the sector, there's data for the sector, and what I'll talk about is data about the sector. So what is available firstly. So I'll cover what's available. I'll show how some of it has been used by academics. So what the kind of social science contribution has been to the sector using these data resources. And at the end, I'll pose a couple of questions that I think, you know, that your organizations could maybe think about and that relates really closely to the data resources that I'm about to show you. So what's available. Well, I think maybe the first port of call should be the kind of the formal regulators of this sector. So specifically here we're talking about the sub sector of voluntary organizations which we call, you know, registered charities. Again, a sub sector but very, very important sub sector. It carries a lot of the organizational heft and it, you know, it counts for a lot of the economic impact of the sector. And as a result, it's a really good source of information. They say don't work, you know, with children, animals or, you know, live online websites or code, but I'm going to do that today. I'm going to show you in real terms in real time what you can actually use. So the Charity Commission for England and Wales is the regulator and registrar of charities in England and Wales. There's a separate regulator in Scotland who has much, much the same data resources available about the sector there. The same in Northern Ireland, and of course the Republic of Ireland has just recently set up this regulator and also the stick in with England and Wales. Wales recently had a revamp of its public search tool for looking for information about organizations. The Charity Commission's recent five year strategy has placed data sharing and data use right at the centre of what the organization is doing. And actually that really has translated into improvements in terms of what data is made available and how it's actually made available. So I'm going to use the Charity that's usually in the news for good reasons, but in 2018 unfortunately was put through the media ringer a wee bit. So I'm talking of course with Oxfam GB. So some of you will be familiar already with the Charity Commission's old website, but the new website is a good deal, more impressive. So for example we have front and centre as you probably expect given the commission's interest in the Oxfam and safeguarding scandal of 2018. Right up front you can see that this organization has had a regulatory alert put against it. And we get the kind of the core basic information that we usually get about charities and we get good information about who the trustees are and whether they're also trustees of different organization. We can actually get their PDFs and their actual annual financial data also so you can actually get the other trustees on your report. And I think you know I'm kind of obviously going through it a bit quickly but I think hopefully the case for using this type of data is reasonably obvious to your organizations. So for a good example of a trustee annual report, you can use this search tool you can find an organization that's very similar to yours in a similar area, you can, you know, read their trustee annual report to get some inspiration, etc. Another regulator whose work keeping an eye on the terms of its data resources is companies house so that's the registrar of companies so the private businesses that are incorporated in the UK. And lots of charities are also incorporated it's about 3025 to 30% of the organizations in the UK charity sector are incorporated. And this has made kind of great strides. And again in terms of what information you can get access to. So again, the charity as large again as, as oxfam is also, and I don't know that's a, that's a different one should be oxfam GB. Anyway, let's stick with the Irish one given that that's where I'm from. So again, it's got much the same information as you can get from the charity commission what's kind of more impressive is you get longer on financial returns you get lots of the commission goes back about five years and then after five years, whatever the oldest record or PDF is tends to disappear from the charity commission's website. And not so if you're talking about the company's house website you can go back pretty much as far as you can so we've got back to 2000 for this group here. And again, once you go back, maybe the electronic copy is not available but you can request a hard copy. I think the fee used to be three pounds for example. And so if you want that really long run history, financial history of a charitable company company's house is an excellent place to go. The trustees again you can get a good idea of who the trustees are from the charity commission's website, and you can get a much richer picture of the trustees from companies house and in particular you can get an idea of who used to be on the board. And so that's the end of this organization. There's lots of really interesting research, and that's been done with this information I'm just about to show you an example in a moment. It's also been really good. If we think back to the Cambridge Analytica scandals and people use the company's house database of trustees and directorships to start looking at the directors of Cambridge Analytica and where they've kind of filtered out into the network of of businesses in the UK was really really interesting. Main source of information from regulators about the sector. And we can also look at funders and an amazing initiative that's been done recently is by 360 giving itself a charity. I think there was a little bit of a refresh there. Do people still see my screen. No, it's just. Oh, does that happen for everyone to that. Anyway, are we back on track. Yeah, back there. It's just a bit of a refresh of a gremlin. Excellent. So 360 giving has made. Well, as you can see here, it's made grants data to voluntary community and social enterprise organizations and open to a really high standard as well as the key thing it's not just dumping data from, you know, big lottery or the Lloyds Foundation, it's actually worked with those funders to put it in a really usable friendly analytical format, the 360 data giving standard. So I'll go through an example in a moment. This is the COVID-19 kind of emergency response grants program 360 giving I've been tracking nearly 22,000 grants made in response to COVID to about 18,000 recipients. You have one minute. So I thank you, Suzanne. And so I'll go through an example in just a moment of how you can use this data to look at networks of organizations here in UK and Manchester actually. And that is what we're calling kind of data enthusiasts or experts. And these are part of the wider wider kind of ecosystem. People and organizations that take this data that I've been just showing you and kind of do some, you know, value added work to it. So this is charity base. And this is a really, really talented data scientists put this together. And what he's really done is he's taken the charity commission data. I've just shown you companies house data and the funding data, and he's kind of put it all together in his database to give you a much richer picture of a charity. So this is a charity I came across recently that I'm keen on supporting. It's recently kind of set up you can see in 2019. And because it's set up it hasn't really filed anything in terms of financial, you can get a breakdown of its causes its beneficiaries where it operates. And if it had received a grant through the 360 giving database, it would appear here also so kind of saves you having to link different data sets together. So how is it used for very quickly to two examples one shamelessly I've used it to look at the density of charities and local authorities in England over time. So we get this longitudinal picture so on the x axis we have deprivation so on the left of the x axis or the most affluent local authorities on the right or the least affluent. And on the y axis we have the number of charities per 5000 people. So you can see over time that the number of charities in those areas is increasing so we can see those curves moving up the y axis. But what we're also seeing is a kind of equivalence between the most affluent and the least affluent in terms of the number of charities. So if you're kind of in the middle in terms of affluence you're not particularly deprived or not particularly affluent. You tend to have the fewest charitable organizations. If you're the most affluent that's what we expect because you need a pool of volunteers and money etc. But also we see a shifting of resources as well into the least affluent areas also sounds quite interesting. And that links census data with charity commission data. This is a very recent paper just actually published by my colleague David Clifford and looks at the proportion of people in each birth cohorts who actually volunteer so in the UK. This uses companies house data and charity commission data. And you can see that those born in 1945 that birth cohorts and they're the ones who are most likely to volunteer with charitable organizations. So the age gradient so the more the younger generation that I can just about put myself in in 1980 just about proportionally where the least likely to volunteer. So finally, why would we use these data resources we're about to see an excellent example from the Young Foundation, but I just kind of want to pose these questions as an academic that I think could be answered using the data resources. So you can look at who you can possibly collaborate with you'll obviously have a good sense of who else is in your space but you might have that kind of totality, a total overarching picture of who operates in the same geographical and service area. And you can use commission data charities, the charity base you could use companies house to see who you can possibly collaborate with what funders are interested in organizations like you and what types of projects do they fund. And with that open data you can see the actual detail of what projects they're funding in which areas and to which organizations I think that's quite that's quite powerful. And then how do you compare to your peers in terms of board or income diversity I think that's an increasingly important issue, particularly boards diversity that I think you could use those data resources to say, look we're benchmarked really well against people in our same field or geographical area. So that's a very brief overview for me. I'll show you some examples later but I want to get straight into a much better description of what you can do with our case study by the Young Foundation. So thank you. Excellent. So yes, Victoria, I'll leave you to introduce yourself in the Young Foundation if that's okay. Hello everyone. Yeah, I'm really delighted to be here. And so my name is Victoria and I'm the director of research at the Young Foundation and I'm just going to attempt to share my screen. Maybe maybe not. People see my screen. It's perfect Victoria. Okay, actually, it's not going to work is it. Okay. I can't quite tell what I'm sharing. How can I tell what I'm sharing. Sorry, this is more complicated than I thought it was going to be. It worked when you did before when you did full screen. Was it showing the notes page as well or was it just showing that it was just. Okay, great. All right, let's have a go at that. Brilliant, great. So, for those of you who don't know the Young Foundation, we're a charity that's been around in one form or another since around the 1950s. And we're named after a sociologist called Michael Young who was a bit of a maverick inventor of social ideas what we now call social innovations. We really spent a lot of time embedded deep in communities trying to understand what matters to them and kind of developing solutions to kind of respond to some of the challenges he kind of came across and so out of our organization has come all kinds of things from the university to which magazine to language line kind of translation services for police and hospitals and things like that. And through just some more modern organizations that some of you might be familiar with things like action for happiness and and some others as well so a real range of organizations and today we kind of still have that core mission of supporting communities and kind of grow and flourish and really be strong places for people to live and we do that through three things so we do do research and that's kind of what I do. And we also do though community community development in essence a lot of work embedded deeply in communities. I'm trying to really build capacity and enable people to kind of have the skills and the resources to make the changes that they want to see a local level. And then finally we have a team that works bit more systemically supporting social enterprises and tackling social problems to kind of grow and scale and sort of be able to, for example be in position to sell better into the public sector, and to make change that way so we kind of do a real range of things. So what I'm here to talk about today is piece of work that we did last year, which actually built on a previous piece of work but really focused on changing the story about what we hear about a lot of places so we work very deeply in communities across the UK were always out and about talking to people, and usually kind of using participatory or ethnographic kind of methods to really understand people's experiences that views their hopes, and sort of their aspirations for their area. And one of the things that we really hear very often is that when we're working in the places that are often classified as deprived and having a whole host of social problems. This really isn't a narrative about that that speaks to people so whether we're in sort of East London or Corby or whether we're better fast or sort of rural regions in Scotland and Wales and there's a there's a narrative about these places that often speaks about them in terms of deficits that are spoken about as being left behind or from bottom, and they're often kind of labeled as a debt capital or suicide capital, or whatever it might be a crime capital of the UK. And, you know, then the kind of the flip side of that is that we spend a lot of time talking about levelling up agendas and sharing prosperity and powerhouses and all those things. And so we kind of started to hear some things which really are quite different. And what we're hearing over and over again is that, yes, these places may well be forgotten by Westminster or left behind in terms of economic investment. But there's a really different kind of community wealth in these places and a kind of different kind of community strength, if you like, which is, which is built on the assets and the strengths of local people and their, and their place. The examples here on screen are from some time we spent in Corby and Corby has a very kind of negative reputation historically, quite maligned historically by outsiders as as being, you know, very deprived unsafe place to live and you know, not a place that people would want to live. And the story couldn't be more different when you talk to local people who have a real sense of pride and connection to the place that they live, and a real sense that actually people there have a very strong sense of community and they do come together, and to sort of support each other and create quite a vibrant community life. And I thought there's this real disconnect that we wanted to explore and we wanted to take a kind of a more data driven approach to that and say, well, you know, we know this qualitatively but actually is there a way we can illustrate this at a sort of national level and really kind of make the case around this. So what we did was we started off by looking at the economic picture. So we took multiple deprivation on the right. And then we also use some of those data sets that you've just heard about so we brought together charity commission data we brought together three, giving data. And we also use data or local government spending so the course and we brought those together to create a kind of combined index of how much funding is going into a local place and then we kind of wave that against the level of deprivation. So to combine these together to become one metric what you see is that obviously you have some places that are if you like hotspots where they're relatively low levels of deprivation. But quite a lot of funding going into them. And then at the other end of the spectrum you have the reverse where you've got high levels of deprivation but relatively low levels of funding going into them. When you look at this I don't think there's any kind of radical surprises here that what you're seeing is that in the top end you've got some of those leafier boroughs of London, the home counties and also some places like featuring in there. And then at the other end of the spectrum, you know, black bull comes out at the top and also quite a few other coastal towns actually are featuring in that kind of bottom 10 quite heavily. So this this in itself we found, you know, to be a really interesting picture that there are these places that are really not managing to access or not being awarded kind of the funding that you might expect given the deprivation that they have at least in economic terms. So we took this picture. And what we wanted to do was then contrast that with what we thought was happening on the ground and some indicators of where, you know, communities are strong in other ways. And so we did a huge amount of thinking about this, you know, and we know that this is happening and we saw this in space, pick it start of COVID, then kind of mutual aid groups popped up all over the country. But we know that there's many, many things happening on the ground that are often missed, or any known about locally at the same time. And so we run about this by approaching organizations with interesting data sets, essentially, and happily many of them agreed to share them. We also put out an FOI to some local authorities, and we kind of did a fair bit of just scraping data off the web. So lots of the data sets we used either weren't previously easily accessible or they weren't publicly accessible, and they've never been brought together before. So we are identifying two different types of data. The first illustrates activities which are primarily focused on bringing together people together so ties. So in this category we've got things like community transport initiatives, community kitchens and fridges, sharing libraries. We also have outdoor activities where there's park runs or where people are holding big lunches through the Eden project or street play. And we also included in there some data on successful community crowdfunding projects, and the presence of independent counselors on the base they represent a slightly different connection with local politics than just kind of the mainstream political party voting habits. So we kind of brought all of these indicators together, and we didn't give anyone greater priorities than the other. We didn't have any basis to doing that. We brought all those together and said these are indications of where there are community led activities and things happening that are a sign of bringing people together. Then on the other side we looked at things which is data focused on community resources so certainly physical places and spaces, which are either under community control directly, or have a very kind of strong local community dimension in terms of the way they're thought about and managed. So in here we used community owned assets. We also looked at where communities have listed assets of community value, protect them. We looked at some of the other data that was shown earlier so we looked at community interest companies. So we took that slice of companies out of the company's house data. And then we looked at things like cooperative housing, community owned energy projects, community orchards and so on, and we kind of brought all of those together as well. The only thing I should say on this one is that in this we did give a greater weight to community owned assets, because we felt that the level of commitment and engagement by a large kind of section of the community owning an asset really is significantly more than perhaps just listing an asset of community value would be so we kind of gave that a greater weighting in our final data. And again, we brought all of these together into one index of kind of community strengths and maybe by the power of miracles, if I click on this. We have an interactive version of this map. Is that loaded? Can people see that? Is that working? Yes, if somebody shouts at me. So this is on our website. You can go and you can have a look at it. And what it enables you to do is to go in and look at your area. And you can see both how you score on that combined kind of investment finance and affluence metric that we've called it there. So the deprivation plus the funding that goes into place. And also on the community strengths. And you can see there's some real regional variations in terms of community strength and you can kind of flip the map between the investment and the strengths so you can see for example that down here in the south west some parts of Cornwall and Devin score quite low on the investment but when I flip it the other way they score much better and quite high in terms of their community strength. So I think this is at the end of the presentation. It's also on our website and then if I can work out how to get back to my PowerPoint. Yes, hopefully this is back to the PowerPoint. I'm just going to show you a couple of places so earlier on you will remember that I spoke about Corby. And just to highlight this here there was a quote there where somebody said you know, and we're always seen as less desirable versus our neighbors in Kettering and Wellingbrook seen as a less desirable place to live. And actually what you can see here kind of really speaks to that narrative that people were saying which is actually in Corby there's a huge sense of community people really do come together. There's lots happening here and we really support each other so you can see that Corby comes out very, very well actually in terms of its community strength. Corby is you know really significantly stronger than both Kettering and Wellingbrook. Whereas actually in terms of their kind of depth relative deprivation and the investment that goes in there's not vast difference between the three areas. So that actually really kind of reinforces in a sort of more data driven way what we were hearing through people's stories and perspectives on on the communities that they live in. So just to speak briefly now, I'm sure I'm running out of time in terms of how we've been. Yeah, you have one minute sorry. How we've been using this insight as an organization and how we've been sharing it with others so we've been really pleased it's had huge amounts of interest and we've kind of been sharing it with everyone from sort of MHCOG and central government through to quite a lot of community foundations around the UK who are thinking about how they use this data along with other data that they hold to kind of think about what their funding and where within their regions. And I'm just going to give you one specific example of work we've been doing in Noseley, which obviously isn't too far from where I think a lot of you are today. And it came mostly came out very low in terms of our combined metric on deprivation and funding almost at the bottom. So it comes out somewhat of mid-tablish in terms of its community strength and the council there was really keen to explore this further. And we were having conversations with them about that and then obviously COVID arrived. And something quite interesting happens there from from their perspective in terms of, they knew there was this huge upswaying of community support and mutual aid. And they made sort of funding available to support that kind of third sector grassroots response and it didn't quite see the demand for that that they were expecting. And, you know, the kind of belief or the kind of the anecdotal understanding of that is that actually a lot of new groups sprang up who didn't maybe have those existing connections into the council and kind of the experience of those more standard routes to funding and support and so things were happening at a much more grassroots level and then maybe had been anticipated. And so off the back of that, you'll see this rather strange looking comic strip which tells that story and asks the questions that are kind of top of mind in that area. And so we're now working with them on a lottery funded project in Noseley where we're running a storytelling project the next couple of months that will enable people from all across the borough to tell their stories both for what happened during lockdown. And obviously knows he's really kind of struggling and suffering now with kind of the second wave. And then also kind of looking to the future and what do people want the future of Noseley to be and what they want to kind of take forwards from this time so and that's live at the moment. And so we're kind of you going to be using that and connecting it back to the data that we already have to kind of be what we find out and what the kind of future opportunities are at that local level. Excellent. Thanks very much Victoria. Yeah, just a quick comment for me. People of course start putting your questions and we can start collating them and start building them up and answering them. But I'd like to say very quickly is there was a nice mix of what you've done between, you know, some kind of novel or kind of, you know, coming at an issue from a slightly different angle but also just really good confirmation of you know anecdotes or you know what's kind of assumed to be known I think there's much too much emphasis on and you know novel, you know, brand new results actually it's really good to get some robust clear ideas of what the actual situation is. And of course yours was was national and fantastically detailed so thank you. So what I what I will do to round out this session is I do have a data demonstration of how you can use the covert 19 data and to look at networks of organizations. So that's kind of a kind of a self driven tasks you can run the code yourself you can produce the results yourself. What I'll do instead is we'll switch to the activity for 1050 minutes up until the breaks you can get some familiarity with the data resources and that we've been talking about. So what I will do, maybe very quickly is show you the results of what I've been doing with the covert 19 so this is a network of Manchester and voluntary community and social enterprise organizations, and how they're all connected to each other, and through the covert 19 response grants program. So there's kind of a couple of dense components so some very obvious components of sport England fund a lot of organizations in Manchester so that accounts for this kind of main blob of organizations here. But the co op foundation is very active in Manchester's, which is probably no surprise given that it's the headquarters of the cooperative movement in the UK. And then there's lots of big lottery lots of Lloyd's foundation there's some really interesting connections. So this goes back to my question about, can you see who's being funded or that's similar to you. And, you know, what kind of projects you know you've got a good project and descriptions this is what the 360, you know giving data looks like so. It means it's a charity so this charity here, and you know was funded under the code 19 by the Paul Hamlin Foundation. And you can, there's lots of fields and you can get a good sense of how much they got and from our project. And, et cetera. But I think for, for time sake now it's much more interesting and to get stuck into it yourself. So I've got a bit of a scavenger hunt for you to do for the next 10 and 11 minutes before we finish. And it's to explore the grants data and some of the charity register data. As well. So basically using these two data resources on just about the postal link in the chat for you. And basically answer these questions are really quick questions hopefully in 10 minutes you'll get at least to number four or five. So I'll give you an idea of the kind of workflow that I go through when I'm thinking about how I can use these data resources. So I leave this up on my screen so hopefully you can see all this. I'll post the two links in the box, and then about 10 minutes we'll come back and see how you got on and I'll give you the answers. Excellent so I'll just post the links for you just answers coming in from people. I'm sure people are correct so far excellent well done. Brilliant. Okay, so I will run through it. By sharing my screen very, very quickly before we break for the remembrance. Excellent. So you should be able to see my screen. So the grant now if you can look across a different number of fields so I'm going to look at locations type in Manchester so this is known as the district in the 360 giving data. There's an award here field here on the left so we can see in 2018 459 grants made to 304 for organizations in Manchester. Again we've got some summary data which is really good we've got the largest award right here and people are correct it went to street games UK and it was six and a half million pounds from sports England. So this organization then itself received 22 grants so we've got a history here of this organization on its own. And so street games UK has received 22 grants from nine different funders and going back as far as 2005 and in this data. So if we go to the charity commission data then we can kind of native how the trustees this organization has. And again I don't feel too bad about, you know, looking for trustees this is public information these are the people in charge of charities as long as you use their personal information in a GDP or compliant way. So it's okay to be interested in who these people are. So yeah, correct so we've got nine different trustees, and we can then look at the other trusteeships field and this gives us a sense of how many other organizations, this one is connected to through its trustees. So we've worked back using the names of these organizations to the grant nav data set and you search for recipients, you end up finding out that the MK dons sport and education trust, and the MK arts for health organizations. So we've got two of the six that are listed here that have also received funding from funders listed on 360. So hopefully that was a reasonably interesting scavenger hunt. And it does actually, you know, it's not just kind of spurious it does reflect some kind of work I'm doing, trying to look at connections between charities, both within geographical and then trying to look across kind of service areas or what we call field of activity so and you know we can see Manchester organization Street Games UK, and while getting funded for work in Manchester and then being connected to organizations and Milton Keynes, which probably doesn't look that far away on a map but England is a lot larger than it looks on the map so that's quite a distance so it has trustees that are, you know, on the board across the UK. So this is as far as I wanted to take you with that. And I don't have any prizes, but Leanne Charlton has correctly gotten all six answers so you can have the public kudos of your announcement but unfortunately no actual prizes. So this was a very whistle stop tour of this kind of sectoral data that's available. We have a website that's kind of why we went a bit quickly we wanted to kind of spur ideas and spur kind of inspiration so the website contains a lot of what we've talked about Victoria's presentation my presentation the code for analyzing networks it's all there. And you can ask questions we can show you how to go through it possibly later on also. So we're coming back at 10 past 11 so we're going to break out 11, and we're not going to have an official formal remembrance right now 11 we're just going to stop activities. So thank you very much for joining us for the first bit. We'll see you in about 11 minutes time. Thank you.