Jamie Pearce, Administrative Data Research Centre

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Network for Obesity Jamie Pearce

Transcript of Jamie Pearce, Administrative Data Research Centre

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Network for Obesity

Jamie Pearce

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Network for Obesity:Linked administrative data

How can two ESRC resources help: Administrative Data Research Network UK Census Longitudinal Studies

Introduce the services Examples of data available How to access the data

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ADRN and UK LS ADRN – linking administrative and

potentially census data – 100% of populationsVery large studies ie ~millions of individualsData limited to that asked

UK LS – 40 years of follow-up of samples ~ 300,000 - 500,000Census, vital registration, educationHouseholds

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Three Census-Linked Longitudinal Studies

CeLSIUS (supporting ONS Longitudinal Study)

SLS-DSU (supporting Scottish Longitudinal Study)

NILS-RSU (supporting Northern Ireland Longitudinal Study)

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Lives linked over time

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Lives linked over time

Travels to work by bike a journey of 2 miles

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Key Features of Longitudinal Change

Comparison of same group over time (Age effects) Comparisons over time (Period comparisons) Comparisons between cohorts over time (Cohort

effects)(Source: Findlay et al, 2015) New mobilities across the lifecourse, Population Space and Place, 21)

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Some example data

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Percentage point change in workers who commute to work as car or van drivers and percentage point change in workers who commute to work as car or van passengers England and Wales, local authorities, 2001-11

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Poverty and low income

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ADRN Structure 4 Administrative Data Research Centres each

with a lead UniversityEngland – University of SouthamptonNorthern Ireland – Queens Uni BelfastScotland – University of EdinburghWales – Swansea University

plus Administrative Data Service - University of Essex

Introducing the Administrative Data Research Network

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What does the ADRC-S do?

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What does the ADRC-S do?Develop the capacity to:

Engage with the public & effectively communicate value/ worth of endeavour and the safety of the infrastructure

Respond to the legal environment emerging out of cross-sectoral linkage

Store, access and link large complex datasets exploiting new linkage methods

Geocode administrative data from the 1850s to present & provide means of adding contextual information to individual records

Extract information from free text resourcesProduce synthetic versions of linked

administrative datasets

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What does the ADRC-S do?Develop the capacity to:

Engage with the public & effectively communicate value/ worth of endeavour and the safety of the infrastructure

Respond to the legal environment emerging out of cross-sectoral linkage

Store, access and link large complex datasets exploiting new linkage methods

Geocode administrative data from the 1850s to present & provide means of adding contextual information to individual records

Extract information from free text resourcesProduce synthetic versions of linked

administrative datasets

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What does the ADRC-S do?Develop the capacity to:

Engage with the public & effectively communicate value/ worth of endeavour and the safety of the infrastructure

Respond to the legal environment emerging out of cross-sectoral linkage

Store, access and link large complex datasets exploiting new linkage methods

Geocode administrative data from the 1850s to present & provide means of adding contextual information to individual records

Extract information from free text resourcesProduce synthetic versions of linked

administrative datasets

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Synthetic data - synthpop

A tool for producing synthetic versions of microdata containing confidential information so that they are safe to be released to users for exploratory analysis and preparing code

Introducing the Administrative Data Research Network Chris Dibben | 31 March 2015

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Sex Age Education Marital status Income Life satisfaction

FEMALE 57 VOCATIONAL/GRAMMAR MARRIED 800 PLEASEDMALE 41 SECONDARY UNMARRIED 1500 MIXED

FEMALE 18 VOCATIONAL/GRAMMAR UNMARRIED NA PLEASEDFEMALE 78 PRIMARY/NO EDUCATION WIDOWED 900 MIXEDFEMALE 54 VOCATIONAL/GRAMMAR MARRIED 1500 MOSTLY SATISFIED

MALE 20 SECONDARY UNMARRIED -8 PLEASEDFEMALE 39 SECONDARY MARRIED 2000 MOSTLY SATISFIED

MALE 39 SECONDARY MARRIED 1197 MIXEDFEMALE 38 VOCATIONAL/GRAMMAR MARRIED NA MOSTLY DISSATISFIEDFEMALE 73 VOCATIONAL/GRAMMAR WIDOWED 1700 PLEASEDFEMALE 54 SECONDARY WIDOWED 2000 MOSTLY SATISFIED

MALE 30 VOCATIONAL/GRAMMAR UNMARRIED 900 MOSTLY SATISFIEDMALE 68 SECONDARY MARRIED -8 DELIGHTEDMALE 61 PRIMARY/NO EDUCATION MARRIED -8 MIXED

Real (input)

Sex Age Education Marital status Income Life satisfaction

MALE 81 PRIMARY/NO EDUCATION MARRIED 2100 PLEASEDMALE 54 VOCATIONAL/GRAMMAR MARRIED 1700 PLEASED

FEMALE 32 VOCATIONAL/GRAMMAR DIVORCED 870 MIXEDFEMALE 98 PRIMARY/NO EDUCATION MARRIED 800 MOSTLY DISSATISFIEDFEMALE 50 PRIMARY/NO EDUCATION MARRIED NA MOSTLY SATISFIEDFEMALE 37 VOCATIONAL/GRAMMAR MARRIED 158 PLEASED

MALE 28 VOCATIONAL/GRAMMAR NA 1500 MOSTLY SATISFIEDFEMALE 62 PRIMARY/NO EDUCATION MARRIED 830 MOSTLY SATISFIED

MALE 78 PRIMARY/NO EDUCATION MARRIED NA PLEASEDFEMALE 29 SECONDARY MARRIED 580 MOSTLY SATISFIED

MALE 59 PRIMARY/NO EDUCATION MARRIED 1300 MOSTLY SATISFIEDMALE 41 SECONDARY UNMARRIED 1500 MIXEDMALE 18 SECONDARY UNMARRIED -8 PLEASED

FEMALE 73 PRIMARY/NO EDUCATION WIDOWED 1350 MOSTLY SATISFIED

Synthetic (output)

Data that look (structurally) like original data but contain artificial units only

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Generating synthetic dataSequentially replacing original data values with synthetic values generated from conditional probability distributions

fit

draw

Yj ~ (Y0,Y1,...,Yj−1)

synt

heti

c

real

Introducing the Administrative Data Research Network

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Data that behave (statistically) like original data

Introducing the Administrative Data Research Network

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Making access more flexible

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Introducing the Administrative Data Research Network

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ADS Partnership

UK Data Service (Essex)Administrative Data Liaison Service (Mancs,

Oxford) Five main teams:

User Services (Essex) Comms & Stakeholder Engagement (Essex) Training and Capacity Building (Manchester) Legal Guidance (Oxford)Management and coordination (Essex)

Introducing the Administrative Data Research Network

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How the ADRN works Application Ethical review, privacy assessment, feasibility,

public benefit & scientific merit Approvals Panel of independent experts Accreditation and training Negotiation for permission to access & link Linkage via Trusted Third Party Analysis in a secure environment Results of analyses checked before released Plain English summaries of research published

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How to find out more about the ADRN Contact info

www.adrn.ac.uk/about/contact

www.adrn.ac.uk twitter.com/ADRN_UK

[email protected]

Introducing the Administrative Data Research Network

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How to find out more about the UK LSs

http://calls.ac.uk/ https://twitter.com/CALLS_Hub

http://calls.ac.uk/more/contact-us/

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ADRC-Scotland at 9 Edinburgh Bioquarter

Introducing the Administrative Data Research Network