Extension for the Longitudinal Studies Centre - Scotland (LSCS) from 2018 to 2020
Lead Research Organisation:
University of Edinburgh
Department Name: Sch of Geosciences
Abstract
Summary:
We will continue to develop the Scottish longitudinal Study, extending its potential through the addition of new datasets, expanding its research user base by making the data more accessible via synthetic data and providing access from other national safe havens, whilst building on the infrastructure created by CALLS-Hub.
Our 8 objectives for the 30 month period are to:
1. Enhance the SLS through linkages to new datasets
The key focus of the first year will be the linking justice data to the SLS. Beyond 2018 we will continue investigating with a number of data controllers, the possibility of linking further and higher education data; information on educational attainment in private schools; social security data; diabetes data from the national diabetes database; and care home data. All new linkages to the SLS are subject to approval from the individual data controllers or subject to additional approval from the national-level Public Benefit and Privacy Panel (PBPP) for Health and Social Care.
2. Support access and use of the SLS by researchers, working towards extending access across Scotland
We will continue our high quality support of users. In particular, we will promote the use of synthetic data extracts and improve the efficiency of accessing the SLS data by extending research access to the SLS to the other national Safe Havens. We will also provide web-based resources and training courses that will help make using the SLS easier.
3. Maintain the SLS and the SLS Safe Setting Room
We will continue with the core maintenance tasks of the study including the introduction of thin clients and virtual machines.
4. Promote the research potential of the SLS
We will continue revising and updating the website including new SLS working papers, and outcomes from projects, new training materials. This will cover some of the CALLS-Hub tasks.
5. Promote the impact of the SLS
The SLS already has a track record of directly promoting the impact of its research. We will continue our collaborations with Scottish governmental agencies in promoting research that has public benefits and policy implications.
6. Work with CeLSIUS and NILS-RSU towards a smooth transition taking over CALLS-Hub
We will work with colleagues in CeLSIUS and NILS-RSU to ensure that key parts of CALLS-Hub are maintained and continued.
7. Engage and collaborate with other ESRC investments
We will continue working with other RSUs, Administrative Data Research Centre Scotland (ADRC-S), the ESRC Doctoral Training Network (DTN), UK Data Service (UKDS) and Cohort and Longitudinal Studies Enhancement Resources (CLOSER) to seek collaboration in data governance and organisation of researcher training.
8. Conduct methodological development work - in particular on historical cohorts to allow longer and inter-censal follow-up
We will undertake appropriate substantive research to promote the potential of the SLS. We will continue to work with colleagues in ADRC-S around extending the synthetic data we can offer researchers (ie long format data) now that it has been piloted by a few SLS projects. We will also extend our non-SLS historical datasets during the period. We will improve the recently added NHS GP postcode data by providing user documentation and derived variables that can be accessed by our researchers.
We will continue to develop the Scottish longitudinal Study, extending its potential through the addition of new datasets, expanding its research user base by making the data more accessible via synthetic data and providing access from other national safe havens, whilst building on the infrastructure created by CALLS-Hub.
Our 8 objectives for the 30 month period are to:
1. Enhance the SLS through linkages to new datasets
The key focus of the first year will be the linking justice data to the SLS. Beyond 2018 we will continue investigating with a number of data controllers, the possibility of linking further and higher education data; information on educational attainment in private schools; social security data; diabetes data from the national diabetes database; and care home data. All new linkages to the SLS are subject to approval from the individual data controllers or subject to additional approval from the national-level Public Benefit and Privacy Panel (PBPP) for Health and Social Care.
2. Support access and use of the SLS by researchers, working towards extending access across Scotland
We will continue our high quality support of users. In particular, we will promote the use of synthetic data extracts and improve the efficiency of accessing the SLS data by extending research access to the SLS to the other national Safe Havens. We will also provide web-based resources and training courses that will help make using the SLS easier.
3. Maintain the SLS and the SLS Safe Setting Room
We will continue with the core maintenance tasks of the study including the introduction of thin clients and virtual machines.
4. Promote the research potential of the SLS
We will continue revising and updating the website including new SLS working papers, and outcomes from projects, new training materials. This will cover some of the CALLS-Hub tasks.
5. Promote the impact of the SLS
The SLS already has a track record of directly promoting the impact of its research. We will continue our collaborations with Scottish governmental agencies in promoting research that has public benefits and policy implications.
6. Work with CeLSIUS and NILS-RSU towards a smooth transition taking over CALLS-Hub
We will work with colleagues in CeLSIUS and NILS-RSU to ensure that key parts of CALLS-Hub are maintained and continued.
7. Engage and collaborate with other ESRC investments
We will continue working with other RSUs, Administrative Data Research Centre Scotland (ADRC-S), the ESRC Doctoral Training Network (DTN), UK Data Service (UKDS) and Cohort and Longitudinal Studies Enhancement Resources (CLOSER) to seek collaboration in data governance and organisation of researcher training.
8. Conduct methodological development work - in particular on historical cohorts to allow longer and inter-censal follow-up
We will undertake appropriate substantive research to promote the potential of the SLS. We will continue to work with colleagues in ADRC-S around extending the synthetic data we can offer researchers (ie long format data) now that it has been piloted by a few SLS projects. We will also extend our non-SLS historical datasets during the period. We will improve the recently added NHS GP postcode data by providing user documentation and derived variables that can be accessed by our researchers.
Planned Impact
The value of longitudinal datasets has long been recognized, and the SLS was created in order to provide a high quality longitudinal research dataset that could be used to provide an insight into the demographic, health and social status of the Scottish population. Scotland had been disadvantaged relative to England and Wales in the poverty of its longitudinal databases (i.e. databases that link individuals' characteristics through time, allowing changing circumstances to be investigated). The SLS, fairly uniquely, allows questions to be asked about the demographic, health and social status of the Scottish population, and the changing pattern.
This is important because Scotland differs considerably from the rest of Britain in a number of ways. For example, on average Scots live in more deprived circumstances, have lower fertility rates, higher teenage fertility rates, and are more likely to live in public housing than people living in England and Wales. In addition, overall mortality rates are higher than the rest of Britain, even when we control for age distribution and the relatively more deprived circumstances in Scotland (commonly described as the 'Scottish Effect' or 'west of Scotland effect'), and deaths from specific causes such as lung cancer and heart disease rank among the worst in Europe. Indeed, lung cancer rates for Scottish women are among the highest in the world. Thus, Scotland provides a unique demographic, socio-economic and health context within the UK, and there has been a lack of research on a number of important topics. These are all issues that can be explored using the SLS and they become especially important as social and health policies continue to diverge between Scotland and the rest of the UK as a result of devolution.
Because of its unique composition and the large proportion of the population it represents (5.3% of the Scottish population as compared to 1% in the ONS LS for England and Wales), the SLS provides benefits to researchers from a wide range of academic disciplines, including social scientists, geographers, health researchers, economists and labour market analysts to name a few (see 'Academic Beneficiaries' above). This impact reaches beyond Scottish academics, with researchers from other UK and European countries already having used the SLS for their projects. Outputs and publications from SLS-based projects are published and presented widely in international journals and at international conferences.
In addition to this academic impact, the SLS has also been used to examine a wide range of research questions feeding into government social, education, health and housing policy. This has included reports and studies conducted on behalf of the Scottish Government, Chief Scientist Office, Scottish Collaboration for Public Health Research and Policy, and Glasgow Centre for Population Health. Further over the years researchers from the Glasgow Council, department of Employability, Skills and Lifelong Learning, ISD/NHS have been involved in policy-relevant research projects utilizing the strengths of the SLS. The presentations from other SLS-based studies have been given at Scottish Government events, research contributed to a chapter in the Register General's 2017 Annual Review and several discussion papers have been published by the IZA Institute for the Study of Labor. One SLS project 'Consequences, risk factors, and geography of young people not in education, employment or training (NEET)' saw the SLS team work closely with Scottish Government (particularly the department of Employability, Skills and Lifelong Learning) from study design to Scottish Government reports. These reports influenced the development of the participation measure and 'Opportunities for All', the Community Jobs Fund, briefing for Ministers including First Minister's Questions and work with local authorities and other Scottish Government departments including health, housing and justice.
This is important because Scotland differs considerably from the rest of Britain in a number of ways. For example, on average Scots live in more deprived circumstances, have lower fertility rates, higher teenage fertility rates, and are more likely to live in public housing than people living in England and Wales. In addition, overall mortality rates are higher than the rest of Britain, even when we control for age distribution and the relatively more deprived circumstances in Scotland (commonly described as the 'Scottish Effect' or 'west of Scotland effect'), and deaths from specific causes such as lung cancer and heart disease rank among the worst in Europe. Indeed, lung cancer rates for Scottish women are among the highest in the world. Thus, Scotland provides a unique demographic, socio-economic and health context within the UK, and there has been a lack of research on a number of important topics. These are all issues that can be explored using the SLS and they become especially important as social and health policies continue to diverge between Scotland and the rest of the UK as a result of devolution.
Because of its unique composition and the large proportion of the population it represents (5.3% of the Scottish population as compared to 1% in the ONS LS for England and Wales), the SLS provides benefits to researchers from a wide range of academic disciplines, including social scientists, geographers, health researchers, economists and labour market analysts to name a few (see 'Academic Beneficiaries' above). This impact reaches beyond Scottish academics, with researchers from other UK and European countries already having used the SLS for their projects. Outputs and publications from SLS-based projects are published and presented widely in international journals and at international conferences.
In addition to this academic impact, the SLS has also been used to examine a wide range of research questions feeding into government social, education, health and housing policy. This has included reports and studies conducted on behalf of the Scottish Government, Chief Scientist Office, Scottish Collaboration for Public Health Research and Policy, and Glasgow Centre for Population Health. Further over the years researchers from the Glasgow Council, department of Employability, Skills and Lifelong Learning, ISD/NHS have been involved in policy-relevant research projects utilizing the strengths of the SLS. The presentations from other SLS-based studies have been given at Scottish Government events, research contributed to a chapter in the Register General's 2017 Annual Review and several discussion papers have been published by the IZA Institute for the Study of Labor. One SLS project 'Consequences, risk factors, and geography of young people not in education, employment or training (NEET)' saw the SLS team work closely with Scottish Government (particularly the department of Employability, Skills and Lifelong Learning) from study design to Scottish Government reports. These reports influenced the development of the participation measure and 'Opportunities for All', the Community Jobs Fund, briefing for Ministers including First Minister's Questions and work with local authorities and other Scottish Government departments including health, housing and justice.
Organisations
Publications
Baranyi G
(2019)
A longitudinal study of neighbourhood conditions and depression in ageing European adults: Do the associations vary by exposure to childhood stressors?
in Preventive medicine
Baranyi G
(2020)
Baranyi et al. Respond to "Depression and Welfare States".
in American journal of epidemiology
Baranyi G
(2020)
Changing levels of local crime and mental health: a natural experiment using self-reported and service use data in Scotland.
in Journal of epidemiology and community health
Cannon JW
(2019)
Environmental and social determinants of acute rheumatic fever: a longitudinal cohort study.
in Epidemiology and infection
Cherrie M
(2020)
Use of sequence analysis for classifying individual antidepressant trajectories to monitor population mental health.
in BMC psychiatry
Clemens T
(2018)
Neighbourhood tobacco supply and individual maternal smoking during pregnancy: a fixed-effects longitudinal analysis using routine data.
in Tobacco control
Curtis S
(2019)
Changing labour market conditions during the 'great recession' and mental health in Scotland 2007-2011: an example using the Scottish Longitudinal Study and data for local areas in Scotland.
in Social science & medicine (1982)
Description | As a research infrastructure we support others in their discovery science, however we do work continuously to improve the effectiveness of our service. Since the funding extension the LSCS has been in the process of amalgamating under one umbrella with the ONS LS (England and Wales) and NILS (Northern Ireland) longitudinal studies including the CALLS Hub. We are in the process of rebranding the website and as a collective and held the first annual conference of the 3 LSs in Belfast on 8th and 9th April 2019 (with 2020 Cardiff conference is postponed until 2022). We have worked collaboratively with the Scottish Centre for Administrative Data Research (SCADR) to provide a Secure Researcher Training one day course which is compliant with the Digital Economy Act. The courses are being run under the auspices of SCADR and until recently one of the SLS team was a trainer. We also provide training in the use of the SLS data and various statistical approaches used regularly by SLS researchers annually, plus joint UKcenLS training events with the other 2 LSs. An ongoing pilot study involving the SLS and NRS Indexing teams, which aims to link SLS vital events deaths through the population spine has been completed with very successful and encouraging results. This study has developed a new and more efficient method to link SLS deaths (and will be extended to all vital event records in due course) and should reduce the lag period between when vital events are produced and when they are linked to the SLS for research use. As well as being more efficient, initial analysis suggests that this new approach will improve linkage success rates to 99% from its current rate of 95%. We will add the missing deaths to the SLS members in the next data release. Progress has been made by NRS on processing Vital Events data and we will shortly be able to release Vital Events data with deaths up to the end of 2017, we are expecting to be able to release more data to our researchers throughout the year. Synthetic Data has been available for SLS users for a few years now, but with covid this has been more interest to allow home working. Because we had already developed the protocol for providing synthetic data to researchers, we were able to make available synthetic versions of their datasets to work with away from the safe setting. Early feedback on the utility of the synthetic data has been very promising, with researcher describing how they are able to carry out not only the preparation of 'scripts' but also carry out meaningful research. We have created a complex synthetic data teaching dataset which has been used in our SLS training events and we are now looking to extend this to look at creating synthetic health data. Software and resource development and maintenance has continued and we have produced a compiled version of the eDataShield R package including help files. This will help facilitate cross LS studies and potentially cross European studies. Maintenance of the synthetic data R package "synthpop" is ongoing. In light of increased demand, we have also investigated various ways to improve our service. This includes amending our statistical disclosure control guidelines to encourage researchers to take on more responsibility for output checking and reducing the workload on support staff allowing them to spend more time with new projects. Prior to lockdown we increased capacity of our safe setting space to accommodate increasing numbers of researchers looking to use SLS data (however we have had to apply social distancing bringing the number of available safe setting PCs temporarily down again). Upgrades to the IT infrastructure and server system are now complete and allowing us to provide our access to research space for users much more flexibly through virtual machines. We are now rolling out our service to allow the SLS to be accessed from remote locations using the National Safe Haven have now been obtained (although these are temporarily closed due to covid). Discussions around how this can be extended into the new ESRC safePODS is ongoing. In the next years this may facilitate access to many Universities across the whole of the UK. |
Exploitation Route | The SLS already has relatively wide engagement with the academic communities and we are now at a stage where we are can now start to use the national network of safePODS (being rolled out across the UK) in other academic institutions and at the National Safe Haven at the Edinburgh Bioquarter. We have already participated in two Scottish Government 'Evidence in Policy' events in November 2018 and one in 2019 which were positively received . Progress has been made by NRS on processing Vital Events data and we should be up to date within the year. As a unit we hold a great breadth of data over our projects. We also currently have a researcher using our Children of the SLS data sample (COTS). In addition, we maintain a presence on the web and social media with regular Tweets - we have 851 followers. We provide training in the use of the SLS data and Survival Analysis training annually. Furthermore, we will be promoting the SLS to the general public at various science festivals including the Glasgow Science Festival, the ESRC festival of Social Science and will be at the Edinburgh Science Festival (when back in person, as our 2020 event was cancelled). The research findings of external researchers using the SLS have been taken forward in a wide variety of ways, all of which are recorded on our SLS website. We also promote these research findings, which are often applied in nature through a variety of knowledge exchange mechanisms including social media, presentations (to academics and government). We continue to make available via our website, packages which are useful to researchers such as eDATASHIELD, synthPOP and the recently updated Consistent Areas through time for Scotland (CATTS). Our Data Dictionary is also current and freely available online. |
Sectors | Communities and Social Services/Policy Education Environment Healthcare Government Democracy and Justice |
URL | https://sls.lscs.ac.uk/ |
Description | The Scottish Longitudinal Study (SLS) is a longstanding infrastructure project, it was refunded 2020-2025, continuing the SLS-DSU work. Findings detailed here are from this grant period 2018-2020. The SLS continues to have wide impact outside of the academia. The SLS Development and Support Unit (SLS-DSU) team continue to have impact in terms of data and statistical infrastructure within the National Records of Scotland (NRS). Planning and preparation within NRS for the 2022 census in Scotland is ongoing and we have been involved planning how the SLS (an NRS product) will be integrated into this process. Importantly, the unique characteristics of the SLS data (i.e. that is contains individuals linked in time) was used to assist NRS in their 2022 Census quality assurance checks. Over the past few years we have been active in working with colleagues at the electronic Data Research Innovation Service (eDRIS), the National Health Service Central Register (NHSCR) and the NRS Indexing team and have been driving forward innovation in terms of a new and improved way of creating data linkages to the NRS population spine. These approaches are a long-term investment and will deliver significant efficiency gains for future data linkage projects including linking the 2022 Census (and possibly the vital events and education data). This is also to be used to improve the process by which NHS health data is to be linked to the SLS. Synthetic data, which was developed by the SLS, continues to be a source of impact and is now being used widely for both training and research purposes including by statistical agencies outside the UK including by Stats Canada. Synthetic SLS data continues to be used for training purposes including being used in a joint week long SCADR/SLS training course run by the two centres annually since 2017 (but not in 2020, and will be delivered online May 2021). Indeed, now in 2024, SLS staff and the SLS synthetic data are still core to the SCADR Introduction to Administrative Data Research and Analysis (IADRA) which is now running twice per year. In 2018 a new NRS SLS Project Manager was appointed and this has allowed us to focus on increasing the use of the SLS within the Scottish Policy environment. This has included discussions with the new Chief Executive of NRS about more focused engagement with various Scottish Government people and avenues that we might explore to push this forward. The SLS-DSU team has been working to discuss, promote and invite Scottish Government policy makers to understand and communicate with the SLS including the production of research briefs for policy purposes on topics including 'Educational engagement, expectation and attainment of children with disabilities'. We successfully participated in the Scottish Government Evidence in Policy Events in 2019 and 2020, these were positively received and generated requests for additional information. Further in 2019 we presented on the SLS at the Civil Service Live (CSL) event which provided us with opportunities to connect with a much wider range of Civil Service and Government allowing opportunities for future collaboration. Until covid we had planned to host an exhibition stall at CSL 2020. To further increase our reach with policymakers we intend to develop a "rapid-response" census data extract which can be accessed quickly to meet policy requirements at short notice and with a quick turnaround, this was approved by the SLS Steering Committee in 2020. And we have started scoping with the Health & Social Care Analysis team within SG, about how to have joint analysis/projects moving forward to allow policy input driven by SLS data. During the funding period we also ran a number of events focused on starting a conversation with the public around the value of linked quantitative date, this included an ESRC Festival of Social Science event held at 'The Dome' (NRS), where the SLS was presenting along with its benefits to public in times of fake news. Interactive presentations are in development for these events and other prospective events are being sought. The SLS-DSU has also engaged with a range of audiences through our own training 'Introduction to the SLS' course and conference presentations, as well as providing a training course on 'Introduction to Survival Analysis Data (using the SLS).' Finally, we continue to support researchers and their output. Since the beginning of the SLS Project to date, from 2007-2020 we have supported 142 projects (including 7 currently in development, of which 2 have applications with the SLS Research Board). On a day-to-day basis the SLS Team support our service users in the SLS Safe Setting. By year, there has been a steady increase in use of the safe setting by researchers, with 2019 being our busiest year so far, had covid not happened we expected 2020 to be busier. Year Number of visits 2009 - 25; 2010 - 83; 2011 - 96; 2012 - 119; 2013 - 76; 2014 - 89; 2015 - 157; 2016 - 249; 2017 - 297; 2018 - 262; 2019 - 316; 2020 - 116. Obviously with covid we had to close our safe setting, then reopened in October on a low-density basis (ie using 2 PCs) and only part-time, as such we only had an average of 16/month safe setting visits October-December. Since Jan 2021 our safe setting is open 4 days per week using 3 PCs (given there are only 3 windows in the room). Our service users have produced 319 final outputs (2007-2020) which have been cleared for release into the public domain by the SLS. More recently, our service users have produced 26 final outputs in 2020 and 8 so far in 2021 (ie Jan-Feb), of which 3 were PhD theses (2 in 2020 and 1 in 2021). Our service users disseminate their findings through various channels, such as presentations and posters at international conferences and workshops, invited talks, through publications as well as research and policy briefs all of which would not be possible without the rich data of the SLS. All SLS outputs are recorded online in the SLS-DSU/CALLS Output database: https://sls.lscs.ac.uk/outputs/ |
First Year Of Impact | 2007 |
Sector | Communities and Social Services/Policy,Education,Environment,Healthcare |
Impact Types | Societal Economic Policy & public services |
Description | An Introduction to Survival Analysis Training using the Scottish Longitudinal Study dataset |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Other audiences |
Results and Impact | This was a one-day workshop on survival analysis for time to event data suitable for those with experience of statistical analyses but new to this type of analysis. The course was of particular interest to those considering using the Scottish Longitudinal Study (SLS) or any of the UK longitudinal studies to analyse time to event data. The course was intended for postgraduate students, academics and social or health researchers interested in learning how to do survival analysis in a statistical package. The workshop was run by members of the SLS Team at UCL on 7th Nov 2019. |
Year(s) Of Engagement Activity | 2019 |
URL | https://www.eventbrite.co.uk/e/an-introduction-to-survival-analysis-training-using-the-scottish-long... |
Description | An introduction to using the UK Census Longitudinal Studies (UKcenLS) |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Other audiences |
Results and Impact | Members of the SLS Team ran a course at UCL on 6th November 2019 - 'An introduction to using the UK Census Longitudinal Studies (UKcenLS).' This introductory training workshop session was designed to introduce people unfamiliar with the UK Census Longitudinal Studies (UKcenLS) and the unique social science that can be undertaken with microdata that tracks individuals over time, to the kinds of analyses that can be carried out using UKcenLS. The session provided a general introduction to the UKcenLS datasets: England and Wales ONS LS, Scotland LS (SLS) and Northern Ireland LS (NILS). The introduction was followed by an opportunity for delegates to have a hands-on session to: • explore which variables are held by each LS in the data dictionary and use test data; • have help completing an application to use LS data (main example from the SLS); • meet Support Unit staff from CeLSIUS & the SLS-DSU to discuss the development of new research projects. |
Year(s) Of Engagement Activity | 2019 |
URL | https://www.eventbrite.co.uk/e/an-introduction-to-using-the-uk-census-longitudinal-studies-ukcenls-r... |
Description | Evidence in Policy - presentation by SLS Team members Greg Blackadder, Dawn Everington & Lynne Forrest |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Policymakers/politicians |
Results and Impact | SLS Team members, Greg Blackadder, Dr Lynne Forrest and Dawn Everington presented at two engagement events in Glasgow and Edinburgh on 8/11/18, 14/11/18 with Scottish Government. Presenting on the work done by the SLS and how it impacts on policy. |
Year(s) Of Engagement Activity | 2018 |
Description | Evidence in Policy Scottish Government Event in Edinburgh |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Policymakers/politicians |
Results and Impact | Greg Blackadder SLS/NRS Project Manager and members of the SLS Team presented on the SLS dataset to Scottish Government employees at the Evidence in Policy event in Edinburgh on 11th November 2019. The event helped to showcase the value of the SLS data to produce quick turnaround Research Briefs for Scottish Government and to inform Scottish Government teams of the possibilities of using the SLS dataset. |
Year(s) Of Engagement Activity | 2019 |
Description | Evidence in Policy Scottish Government Event in Glasgow |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Policymakers/politicians |
Results and Impact | Greg Blackadder SLS/NRS Project Manager and members of the SLS Team presented on the SLS dataset to Scottish Government staff in Glasgow on 13th November 2019. There was some interest with one person following up with an enquiry. |
Year(s) Of Engagement Activity | 2019 |
Description | Exploring the drivers of social and spatial mobility, and the impact on health in later life: Data linkage of the Scottish Mental Survey 1947 with the Scottish Longitudinal Study and other administrative data sources |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Policymakers/politicians |
Results and Impact | Dr Lynne Forrest presented at the Centre for Population Change brown Bag Seminar on 31st May 2018- hour-long, in-depth presentation of research to researchers, Scottish Govt and post-grads etc |
Year(s) Of Engagement Activity | 2018 |
Description | Festival of Social Science event - Population Fact of Fake News? - you decide |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Public/other audiences |
Results and Impact | Dr Tom Clemens and members of the SLS Team ran a public engagement event at New Register House as part of the Festival of Social Science. The event on the 4th November 2019 was an interactive smartphone and tablet based quiz featuring real-time live results and interactive discussion. The event showcased the importance of accurate and rigorous statistical data and highlighted mis-perceptions and biases to help separate fact from fake news. |
Year(s) Of Engagement Activity | 2019 |
URL | https://www.eventbrite.co.uk/e/population-fact-or-fake-news-you-decide-registration-74260488119 |
Description | Generating Synthetic Data with 'Synthpop' Package for R, 20th June 2018, at ADRN Conference Belfast |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Other audiences |
Results and Impact | A pre-conference workshop delivered by Dr Beata Nowok, SLS Team Member to attendees at the ADRN Conference 2018. |
Year(s) Of Engagement Activity | 2018 |
URL | https://adr2018.wordpress.com/programme/ |
Description | Introduction to Survival Analysis, 7th June 2018 |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Postgraduate students |
Results and Impact | SLS staff members, Prof Gillian Raab, Dawn Everington and Lynne Forrest delivered a one-day workshop on survival analysis for time to event data suitable for those with experience of statistical analyses but new to this type of analysis. This course was of particular interest to those considering using the Scottish Longitudinal Study to analyse time to event data. This workshop introduced methods to display and model time to event data, including Kaplan-Meier plots and Cox proportional hazards regression. The survival analysis theory was complimented with hands-on practical sessions using either SPSS, Stata or R on training datasets. Presentations of real projects were also given to demonstrate research potential. The course was intended for postgraduate students, academics and social or health researchers interested in learning how to do survival analysis in a statistical package. There were 19 attendees two of which undertook SLS Research Projects. |
Year(s) Of Engagement Activity | 2018 |
Description | Introduction to using linked administrative data for social and health research |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Postgraduate students |
Results and Impact | Dr Lynne Forrest participated in running a week long workshop held to provide in-depth training on what admin data linkage is, the processes, safety measures etc through SCADR. The dates were 2nd-5th Dec 2019 with Safe Researcher Training on 6th Dec for any participants who wanted it. Venue was Edinburgh Training & Conference Venue, 16 St Mary's Street, Edinburgh. |
Year(s) Of Engagement Activity | 2019 |
Description | Introduction to using linked administrative data for social and health research |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Postgraduate students |
Results and Impact | Lynne Forrest attended a 5 day training course (8-12 oct 2018) - The course gave an introduction to administrative data, describing what it is, some of the particular problems in working with this type of data and how to deal with this. Theoretical sessions were backed up by hands-on practical sessions, using R or Stata to write syntax to tidy, clean and recode data; link datasets; manipulate data; conduct data visualisation; document workflow; identify data quality issues; and fit regression models. There were sessions on: indexing, linking and joining datasets; working with dates and times; descriptive and inferential statistics for administrative data; and methods for dealing with missing data and how to apply for access to linked data, and secure data access within a safe setting, as well as the ethical, confidentiality and disclosure issues around using this type of data. |
Year(s) Of Engagement Activity | 2018 |
Description | ONS Secure Researcher Training |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Postgraduate students |
Results and Impact | SLS Team Member Lynne Forrest and colleagues from the ADRC-S ran Secure Researcher Training courses on 12/12/18, 25/1/19, 1/2/19, 15/2/19 and 22/9/19 - these were a series of 1-day training courses to accreditate researchers (required to access ONS, SLS, health data) |
Year(s) Of Engagement Activity | 2018,2019 |
URL | http://adrc-scotland-sure-training.weebly.com/ |
Description | Presentation to Scottish Government Health & Social Care Analysis Team |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Policymakers/politicians |
Results and Impact | Dr Lee Williamson presented an Introduction to the SLS to Scottish Government Health & Social Care Analysis team at St Andrews House, Edinburgh in Jan 2020. |
Year(s) Of Engagement Activity | 2020 |
Description | Profs G Raab & C Dibben presented on eDatashield at the University of Edinburgh 'Dealing with Data 2019' event |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Professional Practitioners |
Results and Impact | Professor Gillian Raab & Professor Chris Dibben presented 'Running an analysis of combined data when the individual records cannot be combined' at the University of Edinburgh conference on Dealing with Data 2019, on 15th January 2020 (rescheduled from 2019). The theme was "Collaboration Across the Nations: Managing, sharing and securing research data across space and time. In previous years DwD has attracted over 100 attendees from across the university to hear contributions by research staff and students at all stages of their careers and from diverse disciplines. Dealing with Data 2019 was an opportunity to hear from, and network with, other members of the UoE research community about how they have addressed these issues to build successful collaborations, or the lessons they have learned which will enable them to be more successful in the future. |
Year(s) Of Engagement Activity | 2020 |
URL | https://www.ed.ac.uk/information-services/research-support/research-data-service/dealing-with-data-2... |
Description | SLS Participated in Civil Service Live Event on 4th June 2019 |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Policymakers/politicians |
Results and Impact | SLS PM Greg Blackadder and Dr Tom Clemens manned a stand at the Civil Service Live event in Glasgow. This was an event organised by Scottish Government. |
Year(s) Of Engagement Activity | 2019 |
Description | SLS Team public engagement at the Glasgow Science Festival |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Public/other audiences |
Results and Impact | Glasgow Skeptics hosted the SLS PM Greg Blackadder and members of the SLS Team for a public engagement fact-finding mission as part of the Glasgow Science Festival. The aim of the event was to separate population fact from fiction with smartphone and tablet based quizzes and interactive discussion. The event took place on 10th June 2019 at Waterstones Bookshop. |
Year(s) Of Engagement Activity | 2019 |
URL | http://www.glasgowsciencefestival.org.uk/ |
Description | Seminar on the Scottish effect, Dr Zhiqiang Feng |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Postgraduate students |
Results and Impact | Dr Zhiqiang Feng presented at a Seminar on the Scottish Effect, 11th December 2018. |
Year(s) Of Engagement Activity | 2018 |
Description | Social and spatial mobility and self-reported heath in older-age: linkage of the Scottish Longitudinal Study to the Scottish Mental Survey 1947 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Postgraduate students |
Results and Impact | Dr Lynne Forrest gave a poster presentation at ADRN 2018 conference in Belfast, 20-22 June 2018. |
Year(s) Of Engagement Activity | 2018 |
URL | https://ijpds.org/article/view/559/483 |
Description | The role of geographical mobility in intergenerational social mobility: Life course analysis linking the Scottish Longitudinal Study, Scottish Mental Survey 1947 and 1939 Register data |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Other audiences |
Results and Impact | Dr Lynne Forrest presented at SLLS Conference, Milan, 9-22 July 2018 |
Year(s) Of Engagement Activity | 2018 |
Description | VISIT OF DELEGATION FROM NATIONAL BUREAU OF STATISTICS, Peoples Republic of China - Zhiqiang Feng |
Form Of Engagement Activity | Participation in an open day or visit at my research institution |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Policymakers/politicians |
Results and Impact | Dr Zhiqiang Feng introduced the SLS to Chinese delegates from Statistics Bureau on 16th October 2018. |
Year(s) Of Engagement Activity | 2018 |
Description | Workshop on administrative data for population research by Zhiqiang Feng |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Dr Zhiqiang Feng presented at a Workshop on Administrative Data for population Research on 28th January 2019. He Introduced the SLS to Chinese professionals in health and population research and administration |
Year(s) Of Engagement Activity | 2019 |
Description | Workshop on data for analysis for Scottish Government, Dr Zhiqiang Feng |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Dr Zhiqiang Feng introduced the SLS and NEET projects to statisticians in Scottish Government |
Year(s) Of Engagement Activity | 2018 |