 First of all I will introduce myself. My name is Julia Martin and I'm a program manager with ARDC, despite my unusual labelling in the window. I'd like to welcome you all for attending today and thank you very much for your time, especially for those who are going to present today. I would like to begin by acknowledging the Ngunnawal and Ngambri people as the traditional owners of the land on which I live and work and pay my respects to their elders past, present and emerging. I also acknowledge and pay respects to the traditional owners of the land on which you all live and work. I'd now like to hand over to Shada Hadavi to provide an overview of the public sector bridges program. Hi everyone. So before we will get to each projects presentation, I thought it would be good to provide an overview on the public sector bridges program. The public sector to research sector bridges program is one of the six programs on their ARDC's national data assets initiative. Julia, we went one slide ahead. So the objective of the national data assets initiative is to establish a strategic partnership with research communities to be able to develop long live data assets. And motivating principle is that a collection of data can be a national research infrastructure when they support leading edge research and they are national in a scale. Next. And the aim of the public sector to reach a sector bridges program is to extend or improve public sector data to better support leading edge research. The activities in these projects include implementing data standards, extending collections, developing access interfaces, establishing new governance policy and access arrangements and connecting with research infrastructure and analytical tools. Next. So the program objective basically is to address data needs of researchers and provide research requirements scenarios to the public sector to be able to align the public sector and research outcomes and improve public policy administration and service delivery. So that's it for the program overview. My colleague Julia Martin will be taking over as the program manager of the public sector bridges program as I move to our ARDC's program. So I will hand back to you Julia. Thanks Shader. I just before we start, I want to remind the presenters that we do have three minutes to. Present each that will go very, very quickly and Shader will let you know if you have approached your three minutes. And I'd like to welcome Roger Ward. Roger, are you going to be presenting. You're on mute at the moment. Apologies. Dougie was planning to present. Are we first up or. You are first up. Dougie's just arrived actually so. Good. First in Dougie. Projects exchange right now. Tristan's up. Cheers mate. All right. That's okay. For our first presentation we have. Professor Dougie Boyle. And he will be presenting on the hospital. As a national data asset for research project. Okay, thanks very much. We can have the next slide then. That'd be terrific. Okay, so. I think I'm really excited about this project. The sort of challenge we have here is is healthcare data. This is a healthcare data project and data and health and in particular in the hospitals for this project is collected across different electronic medical record systems. And what happens is if someone wants access to this data for research. It takes it departments a long time to pull together the data that's in a request to cost a lot of money. The governance is a real challenge. Sometimes it can take you months or years to access your data. So what this project is about is trying to set some of the foundations for how we can. Try to move towards common data models, potentially a national scale. So this is a really enabler. It's not going to try and change all of Australia, but it's enabler based on the two main electronic medical record systems that are used in Australia, which are certain or an epic. And the further challenge with these systems is that they evolve over time. And they're not even the same between one hospital and other to run the same platform. So we can have the next slide. Thanks. So I mentioned the word common data model. So what you're looking at here are some different country plugs on the left. And that's a visually, I guess, what data is like across our across healthcare in Australia. It is all held in different formats. And this project is to prove that we can convert this into one model. And in fact, the model we've chosen is an international model, which is probably the most widely implemented common data model in the world, which is the this common data model. Feel free to look up omop. You'll find it online rather than be worrying about describing in the short presentation what it is. But if you move on to the next slide, thanks. So the thing about this common data model is because what it really amounts to is you've got tables and fields of data and about 12 of them instead of thousands of tables that you have in electronic medical record systems. So the data is much more consistent and easy to understand. And what it means then is researchers, if you have data in this common data model, it's easier to request the same data from different groups. But more importantly, you can actually run, you can ask for your queries to be run on top of this data and just get the results back. So it means that hospitals and the IT departments don't need to give you out all of the individual data with consent issues and governance issues that present. It means that you can just get the results of your analysis back. And a lot of international COVID-19 work has been able to be turned around very fast using this technique because they've been able to ask the same question across hundreds of millions of individuals having COVID-19. tests around the world, which is fascinating. So what this does then is open up the hospital data to be able to contribute across international communities. But in this environment, there's free training internationally. And there are a huge number of tool sets on top of this for doing things like case control studies, cohort studies, whatever it is you might want to do. Visualization, data quality assessment, people have done all this for you. So common model, it's easy to work with the trainings all available. And the outcome is faster and easier access to data and research outcomes. And it spans not just hospitals across the country. We're also converting primary care data and other data sources, administrative data sources. So ultimately, it just gives us huge uplifting capability nationally. And the idea with this project is we'll share everything openly to support the next hospital to do this sort of conversion. Thanks. Thank you, Dougie. It's fantastic. The next person we'll hear from is associate preface Philip Chung from UNSW law and justice to talk about the national free access coronary findings, recommendations and responses project. Thanks Julia. Okay, the next slide please. Thanks everyone. So for us is actually very excited and very fortunate we feel that we were able to be funded to work on these particular projects because from our research into this area in terms of looking at infrastructure data sets from for law. What we discover was there's a major gap in terms of having access to the colonial increased findings. Generally, as we know, coroners actually investigate the cause and circumstances of reported this. So a lot of their recommendations and findings. Very important in terms of public policy and looking at changes into the law itself. I'm sure many of you are aware of some of the major ones like the health policing. And I guess in particular of particular interest to us is the best in custody implications that's been going on for many years. But what we've discovered when we're looking at providing access to the colonial findings and recommendations is that they are very state and base. In other words, they're localized the way information is maintained the system itself, how the whole colonial process work is different between various states and territories in Australia. So the one of the key challenges for us is that to say, well, first of all, are we able to even find access to the findings themselves. Okay, so one of the big aspect of the gap that we have managed and we identify he's actually having access to the raw documents, the actual findings themselves to begin with. And even for those that are valuable, then generally not linked necessarily to the other resources that are relevant to the process like the cases, the government policies and the legislation reforms that resulted from them. And the other interesting aspect to colonial findings and recommendations is that a lot of them are being directed to government agencies. And there's generally a requirement for government agencies to respond within a few months of those findings. But again, generally is very difficult to find those responses. And even if they're valuable, then not necessarily linked back to the regional recommendations. So, as you can see from these brief explanations, there are a lot of information gaps to begin with. So that's one of the key aspect that we would like to target in this particular project. Have the next slide please. The solution we're looking at is to, first of all, locate and work with the partners across the country. So as part of this project that we were very happy about is that all the corners have agreed to be member to be project partners in this. So we feel that we have a really good chance to actually make a difference in terms of how colonial findings and recommendations are made available across Australia. So that the hope is to actually get in one talking and let's agree on at least a process, if not a common format in which the information provided. So what we'd like to achieve from these projects to make them available through Osley. Just very quickly, Osley has a legal website with over 800 databases of Australasian legal information, cases, legislation, law journals, treaties, law reform, etc. So what we'd like to do with this particular project is to incorporate documents from the colonial interest process, including findings, recommendations, and the responses from government. And as part of this, have them linked through to the other types of information that's available through Osley. One of the key things we would like to do is to assign what we call neutral citations to each of the documents that gets incorporated, which then allows for better discoverable process later on, which I'll talk about in the next slide. But generally, what we're trying to do is to identify the resources if necessary, digitize them, because a lot of them might still be in print, and even the colonists themselves may not have access to them. So we're talking about a quite significant in some jurisdiction information gaps that we're trying to address. And as part of this process throughout the project is to develop better processes and procedures for ongoing additions of the new findings. Can I move to the next slide please. Now, once we have access to the content and we are able to incorporate them on onto the Osley platform. What we feel is that it would be such a major and significant inclusion to Osley, but also in terms of the data access more generally. Because one of the things that having the platform accessible, having the data accessible through Osley is that currently Osley has about 25% of the legal research market in Australia. So one of the things at a minimum, what we can say is the data will be a lot more accessible and it will be integrated into the overall legal ecosystem that we have as part of the Osley database through as a set legislation cases, journals and treaties, etc. But the key thing about this though is that it's actually important for not just the lawyers of the legal sector involved. It's also useful for the community law centers that are helping individuals that impacted by these. It also help other scholars from other faculties in terms of their own research in the humanities, social sciences, criminology, maybe even health. So we think that as a whole, making access to the colonial findings, recommendations and responses would actually enhance accountability and transparency because after all, one of the reasons for having a colonial increase is to figure out what happened and to prevent that from happening again. So we think that to us is a major investment in the rule of law in Australia. Thank you. Thank you, Phillip. That was fantastic. Next, we will be hearing from Dr. Lujin from Atlas of Living Australia on the sensitive species data pathways for research and decision making. Thank you all very much for this great opportunity. So basically what we're looking at is the what we call the sensitive or threatened species kind of a beta, which are the occurrence records of. Species across Australia and then this kind of species usually sort of sorted into two categories when we think about it. One of them is the threatened species. Which are mostly native species that may be impacted by developments like mining or properties and the kind of stuff. The other one is exotic species, which are external sort of outside Australia species that might impact local environment. So this kind of species that I use widely across a number of issues, for example, biodiversity climate change, or especially for the EPPC act assessment, which is related to the local developments. And other things, for example, bushfire recovery and then by security issues. So there's some issues sort of a standard around this kind of data at the moment. One of them is the biggest one is they kind of stored in silo. So they each state jurisdiction holds their own data or territory. They're not really shared among them and their researchers who collect this data also sort of hold it to themselves to really sort of share it out. And the reason of that is mostly because there's not a great agreeable framework for them to share it. Most people just hold it to themselves. And then the sort of the limited data is being shared that is often denatured, which means that the data is not really exact for the locations of the species, which creates issues for people actually making assessments or research that they don't know really know where the species are in terms of when they do modeling and make policy decisions and that kind of stuff. Thank you, Julia. Please. Next slide. So the solutions we're looking at is really because people hold data in silo. So we want to unite all the partners in here and then to find the solutions within the group of framework. So the partners that we have, for example, ARDC and we have gathered all the states and territory jurisdictions and with Syro and Western Australia whoopsy. The challenge FC, which represent the museum collections community and also eco commons Australia, which does analytics and pose a supercomputer, which provides the infrastructure for us. And then we're really looking at three different aspects of solving this problem. One of them is a national framework for sensitive species data that we read five agreements to share this kind of things under certain circumstances that everybody's happy. Second thing we want to have is what we call a sensitive species data service. So hopefully that people can sort of the service and access the data which is being shared across state jurisdiction, state territory jurisdictions. The other ones also provide a technical environment for people to do modeling. Thank you, Julia. Please. Next slide. And the impacts that we're looking at sort of a different realm. This will greatly improve the efficiency of environment assessments. So, which in turn will help our sort of economic development activities, especially center around natural resources. For example, mining, reducing the green tape in this kind of circumstances. And also reduce the biodiversity risk, sorry, by security risks, since we know more about the species and also protect sort of the natural environment better and then sort of help the research of climate change. And then species recovery kind of activities. And also hopefully this will also, this will, because it sort of does better for economy and then the environment will help with the quality of life of our people and then sort of make a more sustainable role as a human environment interactions. Thank you very much. Thanks, Julian. Our next presenter today is Ivan Hanigan, who will talk to the integrated national air pollution and health data project. Thank you. Yes. And I just wanted to point to my organization, the Centre for Air Pollution, Energy and Health Research, being a national consortium of health and environmental interested researchers to spearhead a national approach to this problem. And the problem basically is air pollution is bad for you. And the other thing to note just is air pollution is, some of air pollution is avoidable. The stuff that humans create is appreciable. And a point to our recent paper published just a couple months ago, we looked at the avoidable amount of death in Australia that could be avoided if the human emissions of air pollution was stopped. Now, obviously, that costs a lot of money. So we put that benefit also in terms of money. So we found that couple of thousand deaths per year, which added up to $6.2 billion just in terms of the value of a statistical life. And that's a very low estimate of the health cost. So that's where the problem lies, puts the amount of deaths in the same kind of bucket as road deaths and suicide, which are also avoidable. Now, what we can do about it is to move sensitive buildings like hospitals and schools away from air pollution hotspots. And that's an urban planning thing that we can do. But then the data is also needed to guide things like prescribed burns, bushfire management, and the bottom left, the bottom right hand image is a bushfire reduction burn, has a reduction burn that sent a lot of smoke over Sydney. So that demonstrates what we can do about it if we make these adjustments. But there's a cost associated. So I'll go to the next slide. Which is the solution is to give policymakers evidence based decision support tools that give you a robust estimate of the health costs under the baseline business as usual case. And then scenarios that they could imagine if they had made some kind of policy or intervention. So this diagram shows what would be needed and what we propose to build to integrate the environmental and health data. And on the left is the health and the population exposure side of the system. And we've got the Australian Institute of Health and Welfare on board and the Bureau of Statistics will be providing data. And then you've got the registrars of birth, deaths and marriages involved as well. On the right hand is the air pollution agencies and the states and territories managed the air pollution data collection. There's no national overview. And so we're going to work with each of the agencies that are listed there to bring together the first national air pollution data collection. And just to the left of that is the spatial model. We're going to work with things like satellite data and complicated mathematical simulation models to develop exposure surfaces, which we will link with the health data. And that's where the two lines come together along with epidemiological knowledge about what happens when you expose people to certain levels. And then we'll generate scenarios and have an interactive map for those people to assess what the difference would be. So that's the impact. And the next slide I just wanted to show visually that the impact is not only for epidemiologists who need this kind of data to do their primary studies of what is the relationship between air pollution and health outcomes. And there's a range of different health outcomes. We still need to know more about prenatal conditions and births and so forth. But once we got those statistics, we can plug them into this analysis where you can imagine they're changing the pollution levels and then calculate what kind of population exposure you would get under that scenario. And then calculate the health impact both as the number of people who died in those small areas or the dollars in a range of different ways. So that's really the important social benefit that we're hoping to achieve with this public sector bridges project. Thank you. Thanks Ivan. Looking forward to the outcomes of this project as well. Next, we have shader who will give an overview of leveraging data to support young people's education and well being project. The telephone kids Institute couldn't present today. So shader will give an overview on their behalf. Yeah, I'm presenting on behalf of Stolly Brinkman who couldn't be here today. So I thought I would provide a brief overview on the project. And so that challenge this process. This project is trying to address is a lack of evidence based understanding of young people's well being over time. Well being data have different aspects such as school attendance, engagement and academic achievements. The data sets are not connected and they are held in different state government departments. And that is not available in an accessible and comprehensive form. So basically data quality linkage and governance are some of the key challenges this project is aiming to address. Next slide please. And the solution they're offering is to link educational record from multiple databases over time. The daughter includes student enrollment and attendance, behavior management, well being an engagement disability access to services and academic achievement. The project will start in South Australia and it will be extended to Tasmania, Western Australia and probably Australian capital territory. Not only they will be linking the different databases, but all of them will be evaluated to meet the quality standards and they will be documented. Next slide. Given the importance of young generations well being this project has great impact. So by providing, by improving the awareness documentation and timely access to link data, this project will enable us to provide and this project will provide an understanding of how our education system is performing. We would be able to plan targeted prevention and intervention initiatives. And we will be able to evaluate the effect of these interventions delivered in schools. And we will be able to monitor and report on the impacts of events such as the pandemics or bushfires. Researchers, governments, policymakers and our future society and economy are all beneficiaries of these impacts. Thank you for my preview. Julia, I'll hand back to you.