Harmonising Standard Questions, Classifications and Concepts at the ONS Palvi Shah and Becki Aquilina 1.

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Presentation transcript:

Harmonising Standard Questions, Classifications and Concepts at the ONS Palvi Shah and Becki Aquilina 1

Overview ONS Quality Goals and Harmonisation The Harmonisation Vision and Strategy Harmonisation Planning and Process Benefits of Harmonisation Issues and Considerations Harmonisation versus Standardisation Progress to Date The Variable and Question Bank (VQB) Forward Work Programme 2

ONS Quality Goals and Harmonisation 1.“To use Quality Management to encourage and promote a culture of continuous improvement through self-assessment and quality reviews” 2.“To produce relevant outputs with up-to-date metadata” 3.“To produce standardised outputs” 3

The Harmonisation Vision “All inputs, processing and outputs for the Census and surveys and all data from administrative records will be harmonised, so that users can compare data from different sources with confidence and can merge and match data more easily, taking account of international implications”. 4

Harmonisation Strategy Role of Harmonisation Work Priorities Communication Strategy Stakeholder Engagement Research Projects 5

Planning and Process 6 Agreement Requested from GSS SPSC Harmonisation Plans User Requirements Consultation Plans Development Plan Timetable Key Issues Cost / Benefits Harmonisation Plans User Requirements Consultation Plans Development Plan Timetable Key Issues Cost / Benefits Endorsement Requested from NSHG Further Development of Principles Topic Group Stakeholder UK Nations Other Groups Planning StageProcess Stage Plans for new/revised harmonised principles agreed by GSS SPSC Principles tested and further consultation with stakeholders Proposals for principles formally produced Ratification requested from HoPs Costs / Benefits of developing new / revised principles reviewed Consider issues and potential principles with stakeholders Endorsement requested from the NSHG Approval requested from GSS SPSC Agreed Principles Published

Benefits Compliance with UK Statistics and Registration Service Act 2007 and Code of Practice Comparability, Consistency and Integration of Datasets and Data Sources Data Quality Cost Savings and Efficiencies Knowledge Management 7

Issues and Considerations ‘Encouragement’ rather than ‘enforcement’ Conflicting priorities across Govt Resource constraints Harmonisation across UK/Europe/Other bodies Lack of understanding of bigger picture Difficult to access data for research Inadequate evidence of failure and success Confusion between ‘harmonisation’ and ‘standardisation’ 8

Harmonisation Versus Standardisation Definitions: Harmonisation: “the adjustment of differences and inconsistencies between different measurements, methods, procedures, schedules, specifications or systems to make them uniform or mutually compatible. Harmonisation also aims to avoid duplication of effort or place an undue burden on respondents.” Standardisation: “the adoption of generally accepted uniform technical specifications, criteria, methods, processes or practices to measure an item.” 9

Harmonisation Progress to Date……. Harmonised social questions (13K Variables) Cross Government Topic Groups Revised Strategy Quarterly NSHG meetings Quarterly Newsletters Harmonisation Roadshows StatsUserNet Page and Community A-Z of Harmonised Principles Data Markers/Symbols in Tables 10

Variable and Question Bank (VQB) The benefits to survey commissioners include:  Promotion and re-use of questions and instruments. The benefits to users include:  An aid for researchers who already hold data.  An aid for data collectors.  Innovations – individual questions are mapped to wider instruments; questions are tagged by ownership; tagging of questions by intent.  State of the art searching experience. 11

Variable search

Question search

Add to basket…..

Forward Work Programme Implementation Plan, Stakeholder Analysis and Communication Plan Roadshows Collaboration with business and admin data colleagues Phase 2 ESSnet on Standardisation 21

22 Thank you ! Any Questions? discover.ukdataservice.ac.uk/variables