 Good evening, everyone, and thank you for attending this webinar, an introduction to the UKD8 service. My name is Hannah Jossel and I'm a member of the UKD8 service access team as data access secure assistant. I am presenting today with my colleague Ola Tymie. Hello, everyone. My name is Ola Tymie Smith and I'm also a member of the UKD8 access team as data access and user assistant. Today, as Gail mentioned, we'll be delivering a quick introduction to the UKD8 service. We'll be going over who we are, what data we hold, and what resources we have available. We'll be turning off our cameras to ensure that the connection does not lag or disconnect, so feel free to do so as well. Here's an overview of the topics we will be covering throughout this webinar. We'll be explaining a bit about who we are and what we do, what secondary data is, what sort of data we hold, as well as talking to you through the online resources that we have and a little bit of the guidance we can provide you with. There will be time for questions at the end. You can pop them in the Zoom chat box at the bottom of the screen throughout the session, but please do bear in mind that these may be covered at various points of the presentation, so may like to wait until the end to ask. We also have some interactive elements to this session for which you can use a desktop or smartphone to access Mentimeter. We'll provide you with the details for this later in the presentation. To start with, we will answer the first question that comes to mind. What is the UKD8 service? The UKD8 service holds the UK's largest collection of research data. It is home to the UK's only nationally funded research infrastructure for curating and providing access to social science data, and has been influential across the world since it was established in its original form at the University of Essex in 1967. Pioneers in data curation and secure long-term research access to data are expertise continues to transform social science teaching and learning alongside evidence-based policy reform across the UK. Our data management guidance, policies and protocols are used by national data archives, international research organizations and researchers alike. This guidance has helped remove barriers to accessing data. The UKD8 service is funded by the Economic and Social Research Council, or ESRC for short, to meet the data needs of researchers, students and teachers from all sectors, including academia, central and local government, charities and foundations, independent research centers, think tanks, business consultants and the commercial sector. Our collection includes major UK government sponsored surveys, cross-national surveys, longitudinal studies, UK census data, international aggregate data, business data and qualitative data. Our primary aim is to provide users with seamless and flexible access to these data sources and to facilitate high-quality social and economic research and education. We provide more than just data. We provide guidance resources and training like this webinar to make the most of our data and help researchers develop their key skills in data use. Here in the UKD8 archive, we work with colleagues across the UK to deliver the UKD8 service, collaborate with the research data expert at JISC, CMIST, University of Leeds, University of Southampton, University of Edinburgh and University College London. To give you a sense of how we work with researchers and latest data development, we'll mention a rapid response to COVID-19. Our agile response to COVID-19 enabled rapid research into the economic and social impacts of the pandemic. We hosted our first online COVID-19 data dive in 2020 with an international attendance. Researchers use the datasets that we hold to investigate themes including the mental health of loneliness, inequalities winded by the pandemic and public behaviors affected policy messaging. We set up a COVID-19 theme page to help provide users with the latest data that we had available. If you would like more information on this, we do have an impact blog that conveys the work we do and how the data can be used. We frequently advise at a national and international level on data governance, ethics and confidentiality, and more recently advise the cabinet office on its development of the draft data ethics framework, which influenced the implementation of the Digital Economy Act or DEA 2017. Now that you know a little bit more about us, allow me to introduce you to our website. I'm going to point out a couple of key areas on the website, starting with this image of our homepage. This has recently been redesigned to make it easier to navigate and more user-friendly. Once we have finished the webinar, we would like to invite you all to spend some time exploring the site. We have loads of resources and information on different data that you can access. As you can see, there is a menu across the top of the page to navigate your way around depending on which topics you're interested in. But for now, I'm just going to highlight the help section at the top of the page, as well as the yellow login button in the top right-hand corner. The help section will direct you to frequently asked questions, so if you think of any after this session, you may find your answer there. We'll go through the login and registration later on in this presentation. Moving forward from this, we'll discuss who the UK Data Service is for, who can register and who can access our catalogue. Researchers, students and teachers from any discipline, organization or country may register with the UK Data Service and obtain data. Some data sets have restrictions on access due to the data redistribution license agreements with the data providers, but there will be the opportunity for everyone to access our data catalogue. Most of our regular users are affiliated with higher education or further education institutions, staff, researchers, students, but contrary to popular beliefs, anyone and everyone can register with us. We have many users from other sectors such as local and national government departments, charities and think tanks, to name but a few. You can also register if you are a commercial user, but there may be some restrictions to what you can access, and there may be a fee to do so if you're intended usage of the data for commercial purposes. We also have the option for researchers not associated with an organization to join us to pursue their interest. We are really keen for people to explore data, learn new things and improve their data skills. The graph that you see comes from our annual report which highlights major achievements in a given time period. Our latest report is for the 1st of April 2020 to the 31st of March 2022. According to this report, we had just under 48,000 registered users of the service from 148 different countries, a visualization of the UK Data Services reach. From the 48,000 registered users, around 38,000 are based in the UK. There's also a continual rise in data access in this period. Over 160,000 curated data sets were downloaded at this time. Every six minutes, researchers access data through us and controlled access through UKDS secure lab roast by 22%. Data skills training attendance was at an all-time high at this time with over 12,000 delegates attending our online training and events. Interactive skills modules and events videos were watched by over 6,000 viewers a month. This data is used for secondary analysis or re-analysis of the data. This was obtained from the annual report. The link included in the resource section at the end of the presentation. My colleague Tommy will now take you through the topic on secondary data analysis now. Hi everyone, I will now be sharing with you some information on secondary data and I'll also present the different types of data we hold at the UK Data Service. At the UKDS, we host a large collection of secondary data, which is data that has already been collected for a previous study by a different researcher. Research data can be collected across a range of social science disciplines using a variety of research methods. Social surveys and interviewing projects represent some of the most common methods, but you can also collect data through administrative records, business records and censuses. The reason why secondary data is so valuable to researchers is that primary collection can be time-consuming or expensive and requires a certain level of expertise to be carried out properly. In contrast, secondary analysis or the re-analysis of data that has been collected previously can be used by new researchers looking to answer a new research question and is more often than not free and can be found and accessed through many sources. Using existing data can also enable research where the data may be difficult or impossible to collect, like in the case of global administrative data, large-scale surveys or historic data. Using secondary data is also favoured by researchers as there is a wide range of topics and formats available to work with. And if it comes from a reliable source, it can be representative, robust and transparent as well. That means that all the information on how the data was collected and sampled and all other details needed to connect research with it will also be available with the study. This is the role that the UK Data Service plays. We facilitate access to this secondary data and can also provide advice and support through the application process for it. The data we hold comes from a wide range of sources and we're allowed to disseminate them on the license from the original data depositor. These are separated into NGISO license studies, special license studies and secure access data sets, each following a different procedure to apply and receive access to. We're hosting a webinar this coming Wednesday called Finding and Accessing Data from the UK Data Service where we will talk more in-depth about the different levels of access and the application process for each type of data. If you're interested in that and would like to learn a bit more about it, check out the training and events section of our website for details. We've also included a link to that at the end of our presentation. Back to secondary data, it is important to stress that we're not involved in the collection process for those. They are deposited with us and we curate, preserve and catalog them and then make them available to researchers through the UKDS. Some of the most prominent sources for the data we hold are national statistical authorities like the Office for National Statistics, ONS, National Records of Scotland, Northern Ireland Statistics and Research Agency, for UK government departments including the Home Office, Department of Business, Innovation and Skills which is BIS and Department for Work and Pensions, DWP. For international organizations, those include the International Monetary Fund, Office for Economic Cooperation and Development, OECD and the World Bank. We have research institutes including NATSEN, Institute for Social and Economic Research, ISA and Centre for Longitudinal Studies, CLS. Individual researchers may have done research for their masters, their PhD or funded research. Researchers that are funded by the ESLC also deposit their data with us through reshare which is our online repository. Data deposited in this way is also available through our data catalog. If you're wondering how much data we hold, that would currently be more than 7,300 datasets in our catalog. These cover an array of topics from politics, crime and economics to environment, education, health and housing. The topics listed on this slide are actually the data seen pages from our website. So if you would like to have a look or go searching for data, that can be done by sim as well. It can make it easier to find what you're looking for. Of course we constantly keep adding data to our catalog with a very good example being data about COVID-19 that has been very popular within the UKDS in the past few years. We do suggest to anyone interested in new releases to sign up for a newsletter. That includes all new data added to our catalog and we'll go over how to sign up later in the presentation as well. So please look out for that. As I already said, today I will be guiding you through the four types of datasets that you can find available through the UKDS. These four types are survey microdata, international macrodata, census data and last but not least qualitative and mixed methods data. The survey microdata includes major UK surveys, both cross-national and longitudinal. The international macrodata includes multinational data banks and survey data. The census data are divided into aggregate data for 1971 to 2011, microdata for 1991 to 2011, flow data and boundary data. And finally, the qualitative and mixed methods section will be about a range of multimedia qualitative sources and a general mix of quantitative and qualitative data. Starting off, the UKDS holds a wide range of survey data. These are usually individual or household level data and that technically means that the data has been collected for an individual over households that responded to the survey. An example would be a survey collecting data on age, home address, level of education, employment status and such. These variables would have to be recorded for each individual or group of individuals taking part in the survey. For this reason, the data has to be anonymized to prevent disclosure or making it not possible to identify the individuals that took part in the survey from their responses. Survey microdata usually contains large samples and are nationally representative. This type of data is usually analyzed using a statistics package like SPSS, STATA or R. Survey microdata can be really flexible as they allow you to produce your own tables and to look at the relationships between multiple attributes. For example, how someone's education status affects their income. Here we can see a screenshot of what survey microdata looks like when you download and open the dataset. This in particular is data from the British social attitudes survey 2009 available through the UKDS opened in SPSS. What we can see is that each row in the dataset is an individual respondent and each column a variable based on the answers the individual provided to the survey questions. For example, if you look at the age variable, that will be the age of the respondent during the time of the survey. What we see here is an example of the kind of outputs you can produce from survey microdata. The bar graph shows people's gross weekly pay from their main job broken down by sex using data from the annual population survey between 2004 and 2014. The bars representing men are the darker purple and the women are lighter colored bars. We can see that in 2004 the gross weekly pay of a main job in Great British Pounds for men was 420 pounds 57p. For women it was 266 pounds 30p. In 2010 the gross weekly pay for men was 472 pounds 65p while it was 326 pounds 83p for women. In 2014 the gross weekly pay for men was 499 pounds 96p while it was 349 pounds 36p for women. Some of the most commonly used of a microdata are the UK surveys. The surveys are produced by experienced research organizations such as the ONS and the National Centre for Social Research who have had many years of experience in sampling, data collection and analysis. They have their own methodologies, researchers and teams of interviewers so these are very high quality data. These surveys are mostly nationally representative at the UK level or the countries within the UK depending on the particular survey. They also tend to have large sample sizes for example the labour force survey interviews 60,000 people every quarter. There are two main types of these surveys that we are looking at today. These are cross sectional and longitudinal. The longitudinal surveys can be broken down to cohort and panel studies as well which we will look at later on. Looking first at cross sectional surveys, these collect data for a single point in time. A lot of the studies found in the UKDS catalog are repeated cross sectional surveys. Many of them are repeated annually or most years but each time they run they use a new sample of people. They often do use the same questions each time they run the surveys so they can be used to track trends in the population over time. Here are some examples of our most widely used surveys. The crime survey for England and Wales, CSEW, formerly known as the British Crime Survey provides an important source of information about levels of crime, public attitudes to crime and other related issues. The results play an important role in informing government policy. The survey measures the amount of crime in England and Wales by asking people about crimes they have experienced in the last year. This includes crimes not reported to the police so it is an important alternative to police records. A second example is the British Social Attitude Survey. Since 1983, the British Social Attitude has been tracking the views and opinions of the public on the big issues facing the nation. Every year, National Social Research invites the British public to share their views on a range of topics such as work, equalities, welfare, health or even how the country is run. Households for this survey are randomly selected from across England, Scotland and Wales to take part in the study. This way, we are able to get a truly unbiased picture of attitudes in Britain. We will have a look at the crime survey for England and Wales in a bit more detail to give you all a better overview of a particular dataset. The crime survey for England and Wales is an example of a repeated cross-sectional survey and it is used to look at aggregate population changes over time. It samples those aged 16 and above but does still have a smaller sample for those between 10 and 15 years of age. These individuals are sampled from 35,000 households each year. The survey collects information on whether the participants have been victims of crime or antisocial behaviour in the last 12 months. And interestingly, the questions also cover topics such as demographics and other information such as participants' attitudes towards the police or the criminal justice system as a whole. We have now covered cross-sectional surveys and now we're moving on to longitudinal data. These studies collect data through longitudinal surveys similar to cross-sectional surveys. Longitudinal data also have large samples and are nationally representative. The one key difference between the two types of surveys, however, is that while cross-sectional surveys interview different individuals each year, longitudinal surveys follow the same individuals or households over time and they ask the same questions. So data is collected on the same variables for the same individuals over an extended period of time. This makes it possible for researchers to observe change at the individual level over the observed period. For example, these data could help address questions like what factors in your life can predict having poor health when you're middle-aged? Like I mentioned before, there are two main types of longitudinal studies, panel studies and cohort studies. We're going to look at the differences between them in the following slides. Panel studies to start with collect data at different waves which are different measurement points. The panel members interviewed are people sampled across the whole population of interest to include respondents of all ages. The frequency of the waves depends on the type and design of the study. For example, if you are dealing with an election study, you might want to ask the participants these questions several times throughout the election year to monitor if and how their views have changed. For that reason, the core content of the questions in a panel survey remains unchanged so that you can observe the changes in key measurements over time. But it is not uncommon for additional questions on different topics to be included in the survey. An example of that is if a researcher wants to investigate a particular issue, then they can add new questions through a specific wave of the study. An example of a panel study is understanding society. This is a very popular data collection held by the UK Data Service and it is known as understanding society, the UK Household Longitudinal Study. It is the largest longitudinal household panel study and provides vital evidence on life changes and stability. The understanding society study is based at the Institute for Social and Economic Research, ISA, at the University of Essex. It follows participants over a long period of time, giving us a long-term perspective on people's lives. It helps explore how life in the UK is changing and what stays the same over many years. Interviewing everyone in a household to see how different generations experience life in the UK. The study helps find out about parents and children, siblings, new family formation and our wider family and community links. The sample size for this study is large, about 40,000 households, which is around 100,000 individuals. This allows for researchers to investigate the experiences of different subgroups and ethnic minorities over time. The study also includes an ethnic minority boost sample and a number of biomarkers. Biomarkers represent biological indicators of health risks that are known to be associated with current or future disease. It also concerns to be linked to administrative data such as health and education data. Topics covered by this study include the participants' current employment and earnings, benefit payments, political party identification, household finances, environmental behaviors, parenting and childcare arrangements, family networks, religion, ethnicity, health. All of those are covered in the study. Another kind of longitudinal study is a cohort study. Rather than waves, the measurement points for cohort studies are generally called sweeps. These type of studies follow individuals who have a particular event in common. Because they are interviewed at a key point in time, they're interviewed less frequently than panel studies. The most common event that these follow are people born in one week in a particular year and tracks them over time. Some will follow the cohort over their lifetime. These are called burst cohort studies. Cohort studies tend to focus on topics regarding health and social and economic circumstances. Now we're going to cover the three most popular cohort studies held by the UK Data Service. The first example is the 1958 National Child Development Study, NCDS. This is following the lives of an initial 17,415 people born in England, Scotland and Wales in a single week of 1958. It has collected information on their physical and educational development, economic circumstances, employment, family life and health behavior, as well as well being social participation and attitudes. The study has become an invaluable data source on such topics as the effects of socioeconomic circumstances and child adversities on health and social mobility. It has also become an important resource for the study of genetics. Another example is the 1970 British cohort study, BCS 70, which is following the lives of around 17,000 people born in England, Scotland and Wales in a single week of 1970. It has become a vital source of evidence on key policy areas such as social mobility, education, training and employment and economic insecurity. A final example for this topic is the millennium cohort study, MCS, which is following the lives of around 19,000 young people born across England, Scotland, Wales and Northern Ireland from year 2000 to 2002. The study began with an original sample of 18,818 cohort members and it provides an insight into their physical, socio-emotional, cognitive and behavioral development over time, as well as detailed information on their daily life, behavior and experiences. Alongside this rich information on economic circumstances, parenting, relationships and family life is available for both resident parents. There is another type of microdata that I want to mention briefly, which is cross-national surveys. Cross-national surveys use the same survey instrument and, where possible, the same methodology and fieldwork protocols. They allow for comparisons to be made across many countries and nations. Common topics covered include education, income, working conditions and poverty. Examples of this are the European election study, European quality of life survey, European social survey, European award-value studies and the international social survey program. We do not hold most of these studies in a catalog, but you can find information on our webpage on how to find and access them. So the next data type we're looking at is the international macrodata. Aggregate or macrodata are data that has been aggregated to a country or regional level. Unlike microdata, which looks at the individual or household level, macrodata are time-series data and depending on the database, they are available annually, quarterly or monthly. We update this data regularly, with some databases being updated as frequently as every month. Our international macrodata contains socio-economic time-series data aggregated to a country or regional level for a range of countries over a substantial time period. Many of the data banks are the current releases of the major statistical publications produced by intergovernmental organizations such as the World Bank, International Monetary Fund and Organization for Economic Cooperation and Development. Much of this data is only available through the UKDS to staff and students from UK higher or further education institutions. This is due to access conditions that are agreed with the data owners. However, more and more of these data sources, such as the World Bank databases, are now open access. All the aggregate data banks contain time-series data, collectively chatting over 50 years of global social and economic change. The topics covered by them include national accounts, industrial production, employment, trade, demography, human development and other indicators of national performance and development. So how can you access this data? You can download the time-series you wish to use from the appropriate online tool and that is usually the UKDS start or the IMFE library. The International Monetary Fund IMF, the OECD, which is the Organization for Economic Cooperation and Development and the World Bank data sets are freely available to users without the need for registration or authentication, as they are open access studies. If you use UKDS start, you can view the data by provider and it enables you to extract the information you require from the large socioeconomic international data sets available through the UKDS. There are a number of user guides and video tutorials to help you use it. There is also a video that can be found in the UKData Service YouTube channel called Accessing, Exploring and Visualizing Data in UKDS Start. So do have a look at that if you need further information and guidance. If you look at this slide, this is an example of the kind of outputs that can be created using international macro data. This graph in particular shows the population ages 65 and over from 1960 to 2017 for several countries using data from the World Bank. We are now going to move to our third data type, which is census data. The census has a long history going back to 1801 and it takes place every 10 years. The census data for 2021 was released on July 2022 and the UKData Service has made the data tables and accompanying metadata available for download via the UKData Service Census site. This first release of data contains estimates of population by age and sex for both regions and local authorities in England and Wales. First coming releases from the ONS are expected to cover topics such as UK Amped Forces veterans, housing, health and unpaid care. The most novel feature of the 2021 census operations is that they have been designed from the outset to be digital forced with around 75% of the population expected to complete the questionnaire online. Additionally, the 2021 census is the first to include questions on sexual orientation and gender identity and respondents answered on an entirely voluntary basis. Census data is considered the gold standard as it aims to cover 100% of the population and is used as a baseline for other statistics. It contains detailed combinations of characteristics in a range of topics. The data is available in many geographies and this makes it possible to reliably compare different areas which makes it so unique. Through the UKDS you can get access to four kinds of census data which are aggregate data, boundary data, flow data and census microdata. Most of the data are now open access although there may be some restrictions on some elements of the census data that we have. Census aggregate data and census flow data are available to anyone under the open government license. Only registered users are able to access some of the data such as boundary data. Census microdata have different access conditions depending on the dataset of interest. Aggregate data provides counts, usually of individuals or households with particular characteristics for an area. These areas may be large or small and the benefit of having census data is that it allows you to be very flexible. So you may want to produce tables of graphs based on a very small population. For example, numbers of people who are aged over 50 and are unemployed within each of the wards in the district of Greater Manchester. In this example, the 50 and unemployed are a combination of characteristics and are geographical zones at the districts of Greater Manchester. If you're interested in using aggregate census data, then you can use Infuse for 2001 and 2011. There's no update yet for the 2021 dataset. You can see the interface on the slide right here and it's all done within your web browser. Infuse is designed to guide users in selecting census aggregate data relating to combinations of characteristics and areas of interest to them. You can just pick your topics from the options shown on the screen and you can specify your parameters and then you can produce outputs such as this. The two maps over here shows you how the number of people who define themselves as Christians has declined in England and Wales between 2001 and 2011. The dark red areas are where more than 80% of people define themselves as Christians in 2001. And in 2011, the lighter pink-white areas are where less than 50% of people define themselves as Christians. We also provide access to various boundary data from 1981 to 2011 for a range of geographies. The first map that you see on the top left is the largest, which is on a regional level. And then you can zoom into smaller geographical areas until you get to the wards. The smallest areas are what we call output areas. Here you can see an example of where we zoomed into the wearer. The boundaries are available in a range of geographic information system GIS formats and can be explored through our boundary data selector, which we'll have a look at now in the next slide. This is our boundary data selector on our website. This is currently available for the 1981, 1991, 2001 and 2011 sensors data, as well as other boundaries. You can start by selecting the country you're researching, then the geography and the dates you're interested in. We do have another video on the UK Data Service YouTube channel on how to download boundary data. If you're interested in how to do this, please do have a look at that as it can be a very helpful resource for this tool. We're moving on to the next type of sensors data, which is what we call sensors flow data, also known as interaction data. These are data that relates to flows of people between places. Whereas most sensors data relates to counts of people at single locations, flow data describes interactions between two locations, origin and destination. The most common flow data relates to migration, which is derived from place of residence on the sensors day, compared with the usual residence in the previous year, and commuting flows, which is the difference between place of residence and place of work. Although data from the 2011 sensors also includes information on movements between main and second addresses. Currently, migration and commuting data from the 1981, 1991, 2001 and 2011 sensors are available through WICID, which is the web-based interface to sensors interaction data. The WICID is another flexible interface, providing access to flow data. You can find the link to that on our website, and there are also some annual migration data derived from NHS patient registers that are available there as well. The final type of sensors data we're looking at is sensors microdata. We provide access to cross-sectional sensors microdata. These are anonymized individual level records, sampled from a single sensors. They are large individual level files, which resemble the sort of data that might be collected directly from a questionnaire. Because individual records contain a wide range of individual and household characteristics, the data enables multivariate analysis for a wide range of purposes. Sensors microdata tends to be more flexible, as you can produce your own tables, populations and attributes. The UK Data Service holds contemporary data from the 1981 to 2011 sensors and microdata samples from 1961 onwards. These used to be called SAS, which is samples of anonymized records. These are examples of 1 to 5% depending on the dataset produced by the sensors. There are updates that are still ongoing for the 2021 sensors. Here are some topics that sensors microdata covers. These range from migration, education and employment to social class and income, language and geographic information. This is the last type of data to be covered today, and that is qualitative and mixed methods data. Qualitative data and non-numeric information. These can be interview transcripts, diaries, anthropological field notes, answers to open-ended survey questions, audio or visual recordings and images. If you are looking for this type of data in a catalog, you can filter your search by selecting qualitative or mixed methods as a type of data, or you can access them through the quality bank. The quality bank is a great tool that allows you to search for qualitative data, but also within qualitative data for keywords and terms. In this example on the slide, we have searched for the term ill health and got this essay as a result from the school leavers study of 1978. So you can use this as a way to narrow down your search and see if specific terms are mentioned within these resources. So now we're just going to go through a few slides. We're just going to talk about how to register, as mentioned earlier, as you will need to register with us to access some data sets. So for those of you not registered with us, this is how you can do it. So as you can see, it's the yellow button that you can look out for on the website to register and then login. The way you register with us can vary depending upon which particular sector you come from. So we use federated access management or shibboleth user authentication. So you will need a username and password in order to register. The majority of students and members of staff at UK institutes of higher or further education will be able to use the username and password issued by your institution. So if you are unsure about what your username and password would be, you will need to contact your library or your it hub desk or your even your resources administrator. Your institutional web pages or internet may also contain some useful information on how to obtain a username and password. There are further details to help you with this. So if you go to the website and have a look at the registration FAQs, I will talk more about the help pages in a second. But if you're not from a UK Institute of Further Higher Education, you can still register with us, but you'll first have to apply for a username. So you will have to complete a UK data archive registration form. So you select your own password. And if you apply for a username, there are different user types such as personal, commercial and central or local government. These user types correspond to the organization that you are affiliated with and what role you have there. So for example, if you're a lecturer at university, you would be classified as a staff member at an Institute of Higher Education. However, your use of the data does not necessarily correspond to your user type. So it's quite common for commercial users to have a non-commercial projects. And projects in our system are also classified as either non-commercial, commercial or teaching. Once you make your username application, receive and screen the request and we aim to respond within five working days. To provide you with more information about what it looks like when you're registering on the website, as I said, if you're a UK Higher Further Educational Institution and have your own username and password, once you click on the login page, you'll be asked to type your organization into the box and it should then appear in a drop-down list. You can follow as long as I go through it as well. Once selected, you'll be redirected to your organizational login page. This is usually the same page you receive if you log into your emails, for example, if you're a student. You'll then be prompted to agree to our end-user license terms and conditions and you need to follow the instructions to complete your registration. If you're not, then you will need to apply for a UK Data Archive username as mentioned previously. You can say that there is a small tick box which reads my organization is not listed. You'll then be able to click request the username as shown in the screenshot. Once you have your credentials, you can then click sign in here or search for the organization UK Data Archive in the drop-down list. You'll then be prompted to enter your username and chosen password. Once you're registered with us, you're free to download and access data which we have spoken about today, as well as many others through the use of our catalogue and other search tools. If you wish to find out more about how to search our data catalogue, please do attend the webinar on 29th of March. As we saw on the Mentimeter, if you want to find an access, I would highly suggest joining in for this workshop. You can sign up for this event by our events page on the website. This webinar will go through more detail about the process of finding an access, different access requirements, and what you need to know to search and find the data that you require either for your project or personal research. As we need the end of this presentation, we're just going to take a quick look at some resources and further help. We have compiled a small list of links for use for resources, etc. And report as mentioned earlier in the presentation with further information on the impact of the UK data service and our YouTube channel where this webinar is being live streamed. There's also a link to our data catalogue if you would like to have a browse through our repository at the end of the presentation. We all have a help section on our website homepage as designed for new users in particular. These are designed to help you with any questions you may have about registration, finding an accessing data, which data types we hold, and help with data documentation. And of course inform you of how to contact us. When you are ready to explore our website, click on help on the right hand side just under the login button and it will direct you to our help pages which have all our FAQs. You'll see on the screen that it is categorized under different sections. So you can see the advice for new users section and the specific registration section. Underneath these two you can see the access and information section and our secure lab section which you might be interested in if you want to access secure more, yes, secure level data. We also have resources to help you figure out how to use the data that we provide. There's a section of the website dedicated to this. So we want to see the data used to its maximum potential. To help with that we offer these resources. The learning hub section of the website contains information, advice and support to enhance your data skills including teaching with data. If you're brand new to data, the new to using data section may be useful. Includes best practice and training for researchers who are new to accessing the data in our collection. It also includes advice and tools to correctly cite data. Students specific information are a dissertation award for undergraduates and more. If you're going to be using quantitative or secondary data from us do have a look into that. In the middle section of this slide you can see that we also have data skills modules available. These introductory level interactive modules are designed for users who want to get grips with key aspects of survey, longitude law and aggregate data. Modules can be completed in your own time and you're able to deepen and out when it's needed. They give an introduction to key aspects of the data using short instructional videos, interactive quizzes and activities using open access software. Each module stands alone but those with little experience of surveys may find it useful to start with the survey data module before moving on to the longitude data module. We also offer guidance for using real research data to bring teaching and learning to life. You can use our extensive teaching data collections and resources to support your teaching and learning. They have been designed to allow students to analyze data from our collections containing key variables and topics of interest. And we also have worksheets and specific guidance for those data. Finally, I'd like to draw attention to the contact us section of the website. Here you can also be directed to the help page for frequently asked questions. If your question is not answered there, then you can continue down the page to get in touch with our team and help desk. If you chose this option, you'll be able to complete a web forum to inform us about your query. These are set up to be directed to the team best suited to help you. These may be our technical team if you have a technical issue or user support team if you have a question specific to a particular data set. We also have a telephone number. However, some teams are currently working remotely and are unable to answer some queries instantly. So we do try to respond to all queries within five working days of receiving them. So do explore our FAQs first as the answer to your question may be there. Thank you for listening to our webinar today. We have listed our methods of contact and our Twitter feed here for you as well as our news section, which has the box at the bottom of the page where you can register to receive a newsletter that my colleague Tommy mentioned earlier in the session. Thank you all for joining us. Thank you.