Fleur Hughes spoke data management for the Welfare Conditionality research project at the first Open Data in Practice event at the University of York on 15 November 2018.
ODiP: Data Management in the Welfare Conditionality Research Project
1. Data Management in the Welfare
Conditionality Research Project
Open Data in Practice
15 November 2018
2. Twin aims:
To consider the ethics and efficacy of welfare
conditionality
Fieldwork with three sets of respondents:
1. Semi-structured interviews with 52 policy stakeholders
2. 27 focus groups with frontline welfare practitioners
3. Three rounds of repeat qualitative longitudinal interviews with a
diverse sample of welfare recipients who are subject to welfare
conditionality
Funded by ESRC grant ES/K002163/2
Welfare conditionality: sanctions, support and behaviour
change (2013-2018)
2
3. Exploring welfare conditionality across a range of
policy domains and groups
Recipients of social security benefits (unemployed people, lone
parents, disabled people, Universal Credit), homeless people, social
tenants, individuals/families subject to anti-social behaviour
orders/family intervention projects, offenders and migrants
11 Locations in England and Scotland
Bath, Bristol, Edinburgh, Glasgow, Inverness, London, Manchester,
Peterborough, Salford, Sheffield, Warrington
Welfare conditionality: sanctions, support and behaviour
change (2013-2018)
3
9. Two stage process
Stage One: names replaced with descriptor
Eg. [BROTHER NAME]
Stage Two: all identifying information replaced with
descriptor
Eg. [RESPONDENT SCHOOL NAME]
Stage Two required additional staffing
Grade 6 post, 6 months @ FT
Anonymisation 9
16. Checking the archive’s ingestion forms
Discussing the data set and file formats
Sending test data before formatting the final dataset
Building in time to review errors after sending
Archive preparation from the start 16