Pub Date : 2023-09-14DOI: 10.23889/ijpds.v8i2.2349
James Hartley-Binns
The Integrated Data Service (IDS) is a cross-government initiative, designed to transform the way de-identified data is made available for vital research and decision-making about our society and economy.
It will improve the capability for researchers, allowing them to link data effectively through state-of-the-art systems and technologies.
The IDS will enable more collaborative data research and analysis to take place.
The service will enable access to data sets from a range of sources, across government departments and Devolved Administrations, presented alongside analytical and visualisation tools. Linking data to help answer complex policy questions is essential for addressing the cross-cutting and complex issues required to improve today’s society. The Reference Data Management Framework (RDMF) makes it possible to link data on a consistent and convenient basis.
The IDS will link data to provide otherwise untapped insight and to allow rapid analysis on a growing range of integrated data assets. This cross-government service will provide policy makers with robust and collaborative evidence, informing the decisions made across UK society.
This session will introduce IDS to our academic audience, highlighting the benefits for data suppliers, analysts and the wider public that will be available through standardised data, streamlined data linkage, outputs, and the state-of-the-art dissemination technology.
Building on the IDS showcase in April 2023, the presenter will outline the timeline for the continued development of the IDS, and how researchers and existing SRS users can get involved. They will also discuss the ongoing SRS to IDS transition.
The service is open to analysts within the UK government, devolved administrations, and external accredited researchers, such as scientists, academics, and researchers, allowing them to carry out analysis that addresses major societal challenges.
You will learn the advantages of IDS, and the progression the service has made in the last year. The audience will have an increased awareness of the IDS, how to get involved and what the potential impact will be for analysts, users, contributors, and the public.
{"title":"Data at your fingertips: How the Integrated Data Service is helping to promote collaboration and efficient decision-making in the UK","authors":"James Hartley-Binns","doi":"10.23889/ijpds.v8i2.2349","DOIUrl":"https://doi.org/10.23889/ijpds.v8i2.2349","url":null,"abstract":"The Integrated Data Service (IDS) is a cross-government initiative, designed to transform the way de-identified data is made available for vital research and decision-making about our society and economy.
 It will improve the capability for researchers, allowing them to link data effectively through state-of-the-art systems and technologies.
 The IDS will enable more collaborative data research and analysis to take place.
 The service will enable access to data sets from a range of sources, across government departments and Devolved Administrations, presented alongside analytical and visualisation tools. Linking data to help answer complex policy questions is essential for addressing the cross-cutting and complex issues required to improve today’s society. The Reference Data Management Framework (RDMF) makes it possible to link data on a consistent and convenient basis.
 The IDS will link data to provide otherwise untapped insight and to allow rapid analysis on a growing range of integrated data assets. This cross-government service will provide policy makers with robust and collaborative evidence, informing the decisions made across UK society.
 This session will introduce IDS to our academic audience, highlighting the benefits for data suppliers, analysts and the wider public that will be available through standardised data, streamlined data linkage, outputs, and the state-of-the-art dissemination technology.
 Building on the IDS showcase in April 2023, the presenter will outline the timeline for the continued development of the IDS, and how researchers and existing SRS users can get involved. They will also discuss the ongoing SRS to IDS transition.
 The service is open to analysts within the UK government, devolved administrations, and external accredited researchers, such as scientists, academics, and researchers, allowing them to carry out analysis that addresses major societal challenges.
 You will learn the advantages of IDS, and the progression the service has made in the last year. The audience will have an increased awareness of the IDS, how to get involved and what the potential impact will be for analysts, users, contributors, and the public.","PeriodicalId":132937,"journal":{"name":"International Journal for Population Data Science","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134913948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-14DOI: 10.23889/ijpds.v8i2.2330
Theodora Pouliou, Lucy Griffiths, Rowena Bailey, Sinead Brophy, Jo Davies, Ronan Lyons, Rebecca Pedrick-Case, Gareth Stratton, Richard Fry
ObjectivesYouth obesity has increased substantially in recent decades; however, the potential role of the built environment in mitigating these trends is unclear. This study examines whether more walkable neighbourhoods are associated with lower levels of overweight/obesity for adolescents compared to less walkable neighbourhoods, after considering the potential role of socio-economic and lifestyle characteristics.
MethodsWe examine overweight/obesity levels for all singleton 14 years-old children living in Wales, using the UK Millennium Cohort Study. Children are classified as healthy weight, overweight and obese using international age and sex adjusted cut-offs for body mass index (BMI). The built environment is assessed using the active living environments (ALE) index for 2017-2018 classified into 5 categories (1-low walkability and 5 – high walkability). We apply regression analysis and adjust for children characteristics (e.g., physical activity), parental socio-economic circumstances and lifestyle choices (e.g., maternal education, physical activity).
ResultsWe assess the hypothesis that the built environment is associated with adolescents’ overweight/obesity levels and examine how much of this association could be modified by parental socioeconomic circumstances and lifestyle choices. The ALE index is higher in urban compared to rural areas. To capture variations in Wales’ population, we are conducting a stratified analysis to explore any differences on the association between ALE index and adolescents’ overweight/obesity by urban and rural areas. Accounting for the potential role of lifestyle and socio-economic characteristics is key for future research, as understanding the underlying pathways of this association is necessary to design effective interventions.
ConclusionFindings can help us develop a better understanding of associations between the built environment and overweight/obesity status to inform evidence-based planning policy and practice strategies on how to modify the built environment to promote child health in future generations by increasing better opportunities for diet and activity.
{"title":"Neighbourhood active living environment and obesity in adolescents using the Millennium Cohort Study","authors":"Theodora Pouliou, Lucy Griffiths, Rowena Bailey, Sinead Brophy, Jo Davies, Ronan Lyons, Rebecca Pedrick-Case, Gareth Stratton, Richard Fry","doi":"10.23889/ijpds.v8i2.2330","DOIUrl":"https://doi.org/10.23889/ijpds.v8i2.2330","url":null,"abstract":"ObjectivesYouth obesity has increased substantially in recent decades; however, the potential role of the built environment in mitigating these trends is unclear. This study examines whether more walkable neighbourhoods are associated with lower levels of overweight/obesity for adolescents compared to less walkable neighbourhoods, after considering the potential role of socio-economic and lifestyle characteristics.
 MethodsWe examine overweight/obesity levels for all singleton 14 years-old children living in Wales, using the UK Millennium Cohort Study. Children are classified as healthy weight, overweight and obese using international age and sex adjusted cut-offs for body mass index (BMI). The built environment is assessed using the active living environments (ALE) index for 2017-2018 classified into 5 categories (1-low walkability and 5 – high walkability). We apply regression analysis and adjust for children characteristics (e.g., physical activity), parental socio-economic circumstances and lifestyle choices (e.g., maternal education, physical activity).
 ResultsWe assess the hypothesis that the built environment is associated with adolescents’ overweight/obesity levels and examine how much of this association could be modified by parental socioeconomic circumstances and lifestyle choices. The ALE index is higher in urban compared to rural areas. To capture variations in Wales’ population, we are conducting a stratified analysis to explore any differences on the association between ALE index and adolescents’ overweight/obesity by urban and rural areas. Accounting for the potential role of lifestyle and socio-economic characteristics is key for future research, as understanding the underlying pathways of this association is necessary to design effective interventions.
 ConclusionFindings can help us develop a better understanding of associations between the built environment and overweight/obesity status to inform evidence-based planning policy and practice strategies on how to modify the built environment to promote child health in future generations by increasing better opportunities for diet and activity.","PeriodicalId":132937,"journal":{"name":"International Journal for Population Data Science","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134913953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-14DOI: 10.23889/ijpds.v8i2.2193
Katie Hunter
ObjectivesNewly linked administrative datasets allow us to explore the relationship between ethnicity, care experience and youth justice involvement. This data reveals huge disparities in the youth justice system, highlighting the need for urgent policy reform to prevent unnecessary criminalisation of children in care and care leavers. MethodsUsing linked administrative datasets from the Ministry of Justice and Department for Education, this paper takes a birth cohort approach to understanding youth justice involvement. It draws on National Pupil Database, Children Looked After and Police National Computer records from 2006 to 2017. Firstly, this paper will use descriptive statistics to highlight disparities in the extent of youth justice involvement among care-experienced individuals compared to non-care-experienced individuals and how this varies by ethnic group. Focusing on three offence types, the paper will then draw on mixed effects models to assess the likelihood of receiving a harsh sentence. ResultsThe paper will show that the extent of youth justice involvement among individuals who have been in care (i.e. foster care, children’s homes and kinship care) is much greater than previously thought. It will demonstrate that youth justice involvement is especially common among ethnic minority care-experienced individuals, particularly those who identify as Black or mixed ethnicity. The paper will highlight how care experience increases a person's risk of receiving a custodial sentence and may also affect their risk of getting a longer custodial sentence. Findings will be situated within the broader literature on in-care criminalisation (e.g. Walklate & Fitz-gibbon, 2021), calling attention to institutional and structural influences on justice systems involvement. ConclusionThe paper will show how linked administrative data can generate new insights which can inform policy and practice across both systems of care and justice. In doing so, it will make the case for a statutory duty of preventing unnecessary criminalisation of children in care and care leavers."
{"title":"The time is now: Preventing unnecessary criminalisation of children in care","authors":"Katie Hunter","doi":"10.23889/ijpds.v8i2.2193","DOIUrl":"https://doi.org/10.23889/ijpds.v8i2.2193","url":null,"abstract":"ObjectivesNewly linked administrative datasets allow us to explore the relationship between ethnicity, care experience and youth justice involvement. This data reveals huge disparities in the youth justice system, highlighting the need for urgent policy reform to prevent unnecessary criminalisation of children in care and care leavers. MethodsUsing linked administrative datasets from the Ministry of Justice and Department for Education, this paper takes a birth cohort approach to understanding youth justice involvement. It draws on National Pupil Database, Children Looked After and Police National Computer records from 2006 to 2017. Firstly, this paper will use descriptive statistics to highlight disparities in the extent of youth justice involvement among care-experienced individuals compared to non-care-experienced individuals and how this varies by ethnic group. Focusing on three offence types, the paper will then draw on mixed effects models to assess the likelihood of receiving a harsh sentence. ResultsThe paper will show that the extent of youth justice involvement among individuals who have been in care (i.e. foster care, children’s homes and kinship care) is much greater than previously thought. It will demonstrate that youth justice involvement is especially common among ethnic minority care-experienced individuals, particularly those who identify as Black or mixed ethnicity. The paper will highlight how care experience increases a person's risk of receiving a custodial sentence and may also affect their risk of getting a longer custodial sentence. Findings will be situated within the broader literature on in-care criminalisation (e.g. Walklate & Fitz-gibbon, 2021), calling attention to institutional and structural influences on justice systems involvement. ConclusionThe paper will show how linked administrative data can generate new insights which can inform policy and practice across both systems of care and justice. In doing so, it will make the case for a statutory duty of preventing unnecessary criminalisation of children in care and care leavers.\"","PeriodicalId":132937,"journal":{"name":"International Journal for Population Data Science","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134913235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-14DOI: 10.23889/ijpds.v8i2.2184
Bethany DeSalvo
The United States Census Bureau launched a new tool for national agencies and local communities, the Community Resilience Estimates (CRE). The CRE tracks social and economic vulnerability by measuring the capacity of individuals and households to cope with the external stresses of the impacts of a disaster.
From the beginning of the pandemic, the negative effects of COVID-19 have been strongly related to certain individual and household characteristics. With access to granular microdata from the Census Bureau, the CRE maps the risk assessment of local populations down to the neighborhood level and allows national and community leaders to more efficiently respond to emergencies.
Federal statistical agencies are uniquely positioned to provide the most accurate and timely measures for an individually focused community resilience indicator. We use detailed demographic and economic data about individuals to build these estimates. Having the richest data sources, the federal government can produce estimates with the most granularity, highest statistical quality, and broadest coverage, while still protecting privacy. We do this through modeling multiple sources of data using small area estimation techniques.
This work will soon be built out to include exposure data (wind, flood, heat, fire, etc) so that federal agencies and researchers can perform experimental studies for better evidenced based policy making and evaluation.
{"title":"Measuring Vulnerability and Resilience in the Time of Change Using Small Area Estimation","authors":"Bethany DeSalvo","doi":"10.23889/ijpds.v8i2.2184","DOIUrl":"https://doi.org/10.23889/ijpds.v8i2.2184","url":null,"abstract":"The United States Census Bureau launched a new tool for national agencies and local communities, the Community Resilience Estimates (CRE). The CRE tracks social and economic vulnerability by measuring the capacity of individuals and households to cope with the external stresses of the impacts of a disaster.
 From the beginning of the pandemic, the negative effects of COVID-19 have been strongly related to certain individual and household characteristics. With access to granular microdata from the Census Bureau, the CRE maps the risk assessment of local populations down to the neighborhood level and allows national and community leaders to more efficiently respond to emergencies.
 Federal statistical agencies are uniquely positioned to provide the most accurate and timely measures for an individually focused community resilience indicator. We use detailed demographic and economic data about individuals to build these estimates. Having the richest data sources, the federal government can produce estimates with the most granularity, highest statistical quality, and broadest coverage, while still protecting privacy. We do this through modeling multiple sources of data using small area estimation techniques.
 This work will soon be built out to include exposure data (wind, flood, heat, fire, etc) so that federal agencies and researchers can perform experimental studies for better evidenced based policy making and evaluation.","PeriodicalId":132937,"journal":{"name":"International Journal for Population Data Science","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134913239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-14DOI: 10.23889/ijpds.v8i2.2332
Siobhán Murphy, Eileen Mitchell, Dermot O'Reilly
ObjectivesHomelessness is a growing public health concern in Northern Ireland. Our study intends to measure the scale of homelessness in Northern Ireland and identify the potential of using linked administrative data to understand the complex needs of people who experience homelessness (PEH) and contribute to policy and service development.
MethodsAll formal applications for homelessness go to one central body the Northern Ireland Housing Executive (NIHE). However, it is possible that a proportion might remain unknown to local housing authorities due to personal circumstances, changes in legislation or eligibility criteria etc, which might mean that formal applications underestimate the true scale of homelessness. In this study of the interplay of homelessness health and exposure to social services, we can identify emergency accommodation centres by using ArcGIS, a geographic information system that allows users to analyse maps and spatial data to identify individuals who have been residing at hostels, addiction centres or women's refuges.
ResultsWe identified 115 emergency accommodation centres. We plan to use this information to quantify the scale of homelessness in NI and compare the demographic profiles of those who may not be registered with local housing authorities. It is likely these individuals may represent a highly vulnerable population with complex needs and need tailored support packages.
ConclusionWe will discuss some of the limitations of housing-administrative data and the methodologies we explored to help identify those people who may not be known to local authorities that are experiencing homelessness. Our findings can be used to inform policy on providing continuity of care and support for all people experiencing homelessness and reduce barriers to timely access of this support.
{"title":"Maximising the potential of administrative data to examine homelessness in Northern Ireland","authors":"Siobhán Murphy, Eileen Mitchell, Dermot O'Reilly","doi":"10.23889/ijpds.v8i2.2332","DOIUrl":"https://doi.org/10.23889/ijpds.v8i2.2332","url":null,"abstract":"ObjectivesHomelessness is a growing public health concern in Northern Ireland. Our study intends to measure the scale of homelessness in Northern Ireland and identify the potential of using linked administrative data to understand the complex needs of people who experience homelessness (PEH) and contribute to policy and service development.
 MethodsAll formal applications for homelessness go to one central body the Northern Ireland Housing Executive (NIHE). However, it is possible that a proportion might remain unknown to local housing authorities due to personal circumstances, changes in legislation or eligibility criteria etc, which might mean that formal applications underestimate the true scale of homelessness. In this study of the interplay of homelessness health and exposure to social services, we can identify emergency accommodation centres by using ArcGIS, a geographic information system that allows users to analyse maps and spatial data to identify individuals who have been residing at hostels, addiction centres or women's refuges.
 ResultsWe identified 115 emergency accommodation centres. We plan to use this information to quantify the scale of homelessness in NI and compare the demographic profiles of those who may not be registered with local housing authorities. It is likely these individuals may represent a highly vulnerable population with complex needs and need tailored support packages.
 ConclusionWe will discuss some of the limitations of housing-administrative data and the methodologies we explored to help identify those people who may not be known to local authorities that are experiencing homelessness. Our findings can be used to inform policy on providing continuity of care and support for all people experiencing homelessness and reduce barriers to timely access of this support.","PeriodicalId":132937,"journal":{"name":"International Journal for Population Data Science","volume":"214 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134913581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-14DOI: 10.23889/ijpds.v8i2.2185
Ffion Lloyd-Williams, Stephen Drinkwater, Matt Curds
ObjectivesFunded by ADR UK (ESRC) from 2020 to 2023, the project aims to anonymously link European Union Settlement Scheme (EUSS) data with other data already held within the SAIL Databank, based at Swansea University, and produce a research-ready dataset that can be used by researchers to obtain policy-relevant findings.
MethodUsing a range of de-identified data in the SAIL Databank, a control group of British citizens in Wales has been matched with EU citizens with similar characteristics using the Census 2011 as a spine to identify country of birth. The SQL coding programme is used to link Census data with several other datasets in the SAIL Databank relating to health, with a focus on mental health, education and employment. The R software package is used for statistical analysis to produce comparisons between the groups and performing significance tests of these comparisons (e.g. Mann Whitney).
ResultsInitial findings indicate small but statistically significant differences in school attendance between British pupils in Wales and pupils from EU14 and EU8 countries and similar differences in school attainment between British pupils in Wales and pupils from EU14 and EU8 countries. Further analysis has been conducted to explore differences between pupils from EU14 and EU8 countries. Census data are also linked to GP attendance data to explore differences in mental health related consultations and referrals for British citizens in Wales and citizens from EU countries and differences between citizens from EU14 and EU8 countries. Detailed findings from this linking of datasets and analysis will be presented.
ConclusionLinking data in this way helps to gain a better understanding of the experiences and outcomes of EU citizens in Wales, generating better evidence to help inform policies and services that address the needs of this population and offers a dataset of great interest to academics.
目标由ADR UK (ESRC)资助，从2020年到2023年，该项目旨在将欧盟结算计划(EUSS)数据与位于斯旺西大学的SAIL数据库中已经持有的其他数据匿名链接起来，并产生一个研究就绪的数据集，可供研究人员使用，以获得与政策相关的发现。
方法使用SAIL数据库中的一系列去识别数据，将威尔士的一组英国公民与具有相似特征的欧盟公民进行匹配，使用2011年人口普查作为确定出生国家的脊柱。使用SQL编码方案将人口普查数据与SAIL数据库中与健康有关的其他几个数据集联系起来，重点是心理健康、教育和就业。R软件包用于统计分析，以产生组间比较，并对这些比较进行显著性检验(例如Mann Whitney)。
初步研究结果表明，在威尔士的英国学生与来自欧盟14国和欧盟8国的学生在出勤率方面存在微小但统计上显著的差异，在威尔士的英国学生与来自欧盟14国和欧盟8国的学生在学业成绩方面也存在类似差异。进一步的分析探讨了欧盟14国和欧盟8国学生之间的差异。人口普查数据还与全科医生就诊数据相联系，以探索威尔士英国公民与欧盟国家公民在心理健康相关咨询和转诊方面的差异，以及欧盟14国和欧盟8国公民之间的差异。将介绍从这种数据集和分析的联系中得到的详细结果。以这种方式链接数据有助于更好地了解威尔士欧盟公民的经历和结果，产生更好的证据，以帮助告知解决这一人口需求的政策和服务，并提供学术界非常感兴趣的数据集。
{"title":"The EU Settled Status (Wales) data linkage project: Initial findings relating to health and education","authors":"Ffion Lloyd-Williams, Stephen Drinkwater, Matt Curds","doi":"10.23889/ijpds.v8i2.2185","DOIUrl":"https://doi.org/10.23889/ijpds.v8i2.2185","url":null,"abstract":"ObjectivesFunded by ADR UK (ESRC) from 2020 to 2023, the project aims to anonymously link European Union Settlement Scheme (EUSS) data with other data already held within the SAIL Databank, based at Swansea University, and produce a research-ready dataset that can be used by researchers to obtain policy-relevant findings.
 MethodUsing a range of de-identified data in the SAIL Databank, a control group of British citizens in Wales has been matched with EU citizens with similar characteristics using the Census 2011 as a spine to identify country of birth. The SQL coding programme is used to link Census data with several other datasets in the SAIL Databank relating to health, with a focus on mental health, education and employment. The R software package is used for statistical analysis to produce comparisons between the groups and performing significance tests of these comparisons (e.g. Mann Whitney).
 ResultsInitial findings indicate small but statistically significant differences in school attendance between British pupils in Wales and pupils from EU14 and EU8 countries and similar differences in school attainment between British pupils in Wales and pupils from EU14 and EU8 countries. Further analysis has been conducted to explore differences between pupils from EU14 and EU8 countries. Census data are also linked to GP attendance data to explore differences in mental health related consultations and referrals for British citizens in Wales and citizens from EU countries and differences between citizens from EU14 and EU8 countries. Detailed findings from this linking of datasets and analysis will be presented.
 ConclusionLinking data in this way helps to gain a better understanding of the experiences and outcomes of EU citizens in Wales, generating better evidence to help inform policies and services that address the needs of this population and offers a dataset of great interest to academics.","PeriodicalId":132937,"journal":{"name":"International Journal for Population Data Science","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134913586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-14DOI: 10.23889/ijpds.v8i2.2210
Louise Corti
ObjectivesDigital Object Identifiers (DOI) are a standard feature within academic publishing, helping make resources findable, citable, connected, and impact-trackable. This talk describes how the UK’s Office of National Statistics has led the way in piloting their use within government and promoted the DOI system as a standard across government publishing.
MethodsIn March 2021 a small project was conducted within ONS, led by the Secure Research Service Impact, Data Management and metadata teams, to test a small-scale implementation of DOIs - and their tracking - for its secure data catalogue (https://ons.metadata.works/domain/index.html).
Pilot work commenced with bringing together a cross-ONS working group to appraise and discuss business and user needs for the use of DOIs within the organisation. In 2022, working closely with the British Library, ONS proposed and prepared documentation for the use of the DOI standard as a recommended standard across GOV.UK.
ResultsIn late 2021, membership of the British Library DataCite consortium was sought to mint DOIs and implementation was planned with, and undertaken by, the SRS catalogue providers. DOIs were rolled out in early October 2022, representing the first use with UK government, and serving as a valuable pilot to evaluate both user and impact benefits, and implementation costs.
Altmetric was secured as a tool to track mentions of DOIs across the digital landscape - to test out the efficacy of such a system for monitoring use and helping inform impact and evaluation work for data providers and data services.
In spring 2022, the DOI standard was provisionally agreed as a recommended standard across wider UK government by the Open Standards Board and Data Standards Authority.
ConclusionThis talk provides a valuable reflection and advice on (i) the journey of advocating for/ introducing the concept of DOIs to a government organisation, (ii) the steps required to work this up into a pilot, and (iii) the value of DOIs for impact /evaluation work within a government-led data organisation.
{"title":"The use of DOIs within government publishing: Benefits and costs","authors":"Louise Corti","doi":"10.23889/ijpds.v8i2.2210","DOIUrl":"https://doi.org/10.23889/ijpds.v8i2.2210","url":null,"abstract":"ObjectivesDigital Object Identifiers (DOI) are a standard feature within academic publishing, helping make resources findable, citable, connected, and impact-trackable. This talk describes how the UK’s Office of National Statistics has led the way in piloting their use within government and promoted the DOI system as a standard across government publishing.
 MethodsIn March 2021 a small project was conducted within ONS, led by the Secure Research Service Impact, Data Management and metadata teams, to test a small-scale implementation of DOIs - and their tracking - for its secure data catalogue (https://ons.metadata.works/domain/index.html).
 Pilot work commenced with bringing together a cross-ONS working group to appraise and discuss business and user needs for the use of DOIs within the organisation. In 2022, working closely with the British Library, ONS proposed and prepared documentation for the use of the DOI standard as a recommended standard across GOV.UK.
 ResultsIn late 2021, membership of the British Library DataCite consortium was sought to mint DOIs and implementation was planned with, and undertaken by, the SRS catalogue providers. DOIs were rolled out in early October 2022, representing the first use with UK government, and serving as a valuable pilot to evaluate both user and impact benefits, and implementation costs.
 Altmetric was secured as a tool to track mentions of DOIs across the digital landscape - to test out the efficacy of such a system for monitoring use and helping inform impact and evaluation work for data providers and data services.
 In spring 2022, the DOI standard was provisionally agreed as a recommended standard across wider UK government by the Open Standards Board and Data Standards Authority.
 ConclusionThis talk provides a valuable reflection and advice on (i) the journey of advocating for/ introducing the concept of DOIs to a government organisation, (ii) the steps required to work this up into a pilot, and (iii) the value of DOIs for impact /evaluation work within a government-led data organisation.","PeriodicalId":132937,"journal":{"name":"International Journal for Population Data Science","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134913588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-14DOI: 10.23889/ijpds.v8i2.2227
Tony Whiffen, Kathryn Helliwell
ObjectivesWith an annual budget of over £120 million, the Welsh Government Supporting People Programme provided housing-related support to help vulnerable people to avoid homelessness and live as independently as possible. The SPDLP aims to determine the impact of the programme on other public services I.e. healthcare.
MethodsEstablish data sharing agreements and acquire data for 21 out of 22 Local Authorities. Link the acquired Wales-wide sample of Supporting People data with other routine health and administrative datasets in the SAIL Databank. Examine the impact on subsequent interactions with other services (i.e. health, social care, housing options and pre-16 education). Create control groups and identify subgroups of clients to better quantify the effects of the Supporting People intervention. Compare service utilisation groups of clients and non-clients to inform future provision of public services.
ResultsWork to validate the SPDLP approach by applying the method from the earlier Supporting People Data Linking Feasibility Study (SPDLFS) to the most recent data has been completed. Results from this will be presented along with emerging findings related to repeat homelessness. The development of health economics approaches to evaluating the impact of the programme will also be presented.
ConclusionFor most local authorities in Wales, we have developed a longitudinal linked dataset comprising details of people at risk of homelessness. This has successfully enabled statistical research and analysis to explore the wider impact of government programmes to address inequalities and answer research questions around homelessness.
{"title":"Supporting People Data Linking Programme: Linked data research into the impact of housing-related support on use of healthcare services","authors":"Tony Whiffen, Kathryn Helliwell","doi":"10.23889/ijpds.v8i2.2227","DOIUrl":"https://doi.org/10.23889/ijpds.v8i2.2227","url":null,"abstract":"ObjectivesWith an annual budget of over £120 million, the Welsh Government Supporting People Programme provided housing-related support to help vulnerable people to avoid homelessness and live as independently as possible. The SPDLP aims to determine the impact of the programme on other public services I.e. healthcare.
 MethodsEstablish data sharing agreements and acquire data for 21 out of 22 Local Authorities. Link the acquired Wales-wide sample of Supporting People data with other routine health and administrative datasets in the SAIL Databank. Examine the impact on subsequent interactions with other services (i.e. health, social care, housing options and pre-16 education). Create control groups and identify subgroups of clients to better quantify the effects of the Supporting People intervention. Compare service utilisation groups of clients and non-clients to inform future provision of public services.
 ResultsWork to validate the SPDLP approach by applying the method from the earlier Supporting People Data Linking Feasibility Study (SPDLFS) to the most recent data has been completed. Results from this will be presented along with emerging findings related to repeat homelessness. The development of health economics approaches to evaluating the impact of the programme will also be presented.
 ConclusionFor most local authorities in Wales, we have developed a longitudinal linked dataset comprising details of people at risk of homelessness. This has successfully enabled statistical research and analysis to explore the wider impact of government programmes to address inequalities and answer research questions around homelessness.","PeriodicalId":132937,"journal":{"name":"International Journal for Population Data Science","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134913710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-14DOI: 10.23889/ijpds.v8i2.2233
Lucy Robinson
ObjectivesThere are separate data collections across education phases in Wales. Each use a different unique learner identifier. The matched education project used advanced data linking methods to produce a set of pseudo identifiers for each learner that can be matched back to the original datasets to undertake specific, anonymous analysis.
MethodsThe first phase of the project involved data cleaning, preparation, and the creation of new derived linking variables. The second phase of the project established the linking methodology, developing and making the most of advanced data linking techniques including frequency matching and phonetic string comparators. At each stage of the project the data linking was sequential, ranging from exact matching on all key variables to more fuzzy matching. During the code development the approach was uniquely tailored to each data set and constantly fine-tuned to ensure the highest possible match rate while reducing potential for false matches.
ResultsThe resulting data sets are used in a number of ways for statistical and research purposes to support the formation of evidence-based policies. This includes research into raising the compulsory education age and the evaluation of learner journeys during the pandemic.
Robust linked data facilitates analysis examining the progression of learners through the education system in Wales. This has so far included published analysis on learner outcomes during the pandemic, and internal analysis looking at these outcomes by Free School Meal status.
Additionally, there is a broad scope of future analysis planned and the outputs of the matched education data set project will be used extensively in the evaluation of learner journeys post pandemic which will be inform Welsh policy.
ConclusionThe matched education dataset project involved learning and upskilling in data linkage methodology and brought new data linking skills. We are keen to share lessons learned widely with the hope of improving the quality of data linkage projects and to reflect on the impact of data quality.
{"title":"The Matched Education Dataset project: Methodology and lessons learned","authors":"Lucy Robinson","doi":"10.23889/ijpds.v8i2.2233","DOIUrl":"https://doi.org/10.23889/ijpds.v8i2.2233","url":null,"abstract":"ObjectivesThere are separate data collections across education phases in Wales. Each use a different unique learner identifier. The matched education project used advanced data linking methods to produce a set of pseudo identifiers for each learner that can be matched back to the original datasets to undertake specific, anonymous analysis.
 MethodsThe first phase of the project involved data cleaning, preparation, and the creation of new derived linking variables. The second phase of the project established the linking methodology, developing and making the most of advanced data linking techniques including frequency matching and phonetic string comparators. At each stage of the project the data linking was sequential, ranging from exact matching on all key variables to more fuzzy matching. During the code development the approach was uniquely tailored to each data set and constantly fine-tuned to ensure the highest possible match rate while reducing potential for false matches.
 ResultsThe resulting data sets are used in a number of ways for statistical and research purposes to support the formation of evidence-based policies. This includes research into raising the compulsory education age and the evaluation of learner journeys during the pandemic.
 Robust linked data facilitates analysis examining the progression of learners through the education system in Wales. This has so far included published analysis on learner outcomes during the pandemic, and internal analysis looking at these outcomes by Free School Meal status.
 Additionally, there is a broad scope of future analysis planned and the outputs of the matched education data set project will be used extensively in the evaluation of learner journeys post pandemic which will be inform Welsh policy.
 ConclusionThe matched education dataset project involved learning and upskilling in data linkage methodology and brought new data linking skills. We are keen to share lessons learned widely with the hope of improving the quality of data linkage projects and to reflect on the impact of data quality.","PeriodicalId":132937,"journal":{"name":"International Journal for Population Data Science","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134913826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-14DOI: 10.23889/ijpds.v8i2.2234
Elisa Jones
Summer 2021. #NhsDataGrab is trending on Twitter and over a million people opt out of NHS data-sharing in one month in a backlash against a government plan: General Practice Data for Planning and Research. The scheme proposes that GP anonymised health data for everyone in England will be made available to researchers and companies for healthcare research and planning. The plan is now on hold, much to the dismay of data scientists who believe that data saves lives.
It has been suggested that greater public participation around the sharing of health data will help to alleviate public concerns, and may prevent more members of the public opting out. Health data initiatives have involved members of the public in different ways, from “citizen juries” to public panels and advisory boards.
Using ethnographically-informed qualitative case studies, this project takes a closer look at involvement approaches in different data sharing initiatives. The case studies include: citizen juries that asked jurors to consider different real-world data initiatives; a public panel set up by a regional databank that carries out data linking; and an advisory board of members of the public at a national data institution. I have carried out observations of the involvement activities, and conducted semi-structured 1:1 interviews with those who organise and have taken part in the activities.
I have recently completed data collection, with analysis ongoing. The analysis is thematic and primarily inductive, using principles of grounded theory and drawing on Silverman’s constant comparative method. Key themes, patterns, and variations are currently being noted and developed. Current areas of interest include: epistemic or democratic reasoning for activities; the roles that the different actors play in participation and how contributors are changed by their involvement.
{"title":"Involvement in data initiatives","authors":"Elisa Jones","doi":"10.23889/ijpds.v8i2.2234","DOIUrl":"https://doi.org/10.23889/ijpds.v8i2.2234","url":null,"abstract":"Summer 2021. #NhsDataGrab is trending on Twitter and over a million people opt out of NHS data-sharing in one month in a backlash against a government plan: General Practice Data for Planning and Research. The scheme proposes that GP anonymised health data for everyone in England will be made available to researchers and companies for healthcare research and planning. The plan is now on hold, much to the dismay of data scientists who believe that data saves lives.
 It has been suggested that greater public participation around the sharing of health data will help to alleviate public concerns, and may prevent more members of the public opting out. Health data initiatives have involved members of the public in different ways, from “citizen juries” to public panels and advisory boards.
 Using ethnographically-informed qualitative case studies, this project takes a closer look at involvement approaches in different data sharing initiatives. The case studies include: citizen juries that asked jurors to consider different real-world data initiatives; a public panel set up by a regional databank that carries out data linking; and an advisory board of members of the public at a national data institution. I have carried out observations of the involvement activities, and conducted semi-structured 1:1 interviews with those who organise and have taken part in the activities.
 I have recently completed data collection, with analysis ongoing. The analysis is thematic and primarily inductive, using principles of grounded theory and drawing on Silverman’s constant comparative method. Key themes, patterns, and variations are currently being noted and developed. Current areas of interest include: epistemic or democratic reasoning for activities; the roles that the different actors play in participation and how contributors are changed by their involvement.","PeriodicalId":132937,"journal":{"name":"International Journal for Population Data Science","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134913845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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