1 / 18

Modernising Statistical Systems to improve Quality The experiences of the Office

Modernising Statistical Systems to improve Quality The experiences of the Office for National Statistics (ONS). Presented by Emma Heath & Debby Osman. Introduction & Background. Reasons for change. Wide variety of computer systems Large quantity and variety of software & licenses

brice
Download Presentation

Modernising Statistical Systems to improve Quality The experiences of the Office

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Modernising Statistical Systems to improve Quality The experiences of the Office for National Statistics (ONS) Presented by Emma Heath & Debby Osman

  2. Introduction & Background

  3. Reasons for change • Wide variety of computer systems • Large quantity and variety of software & licenses • A number of legacy applications • Many statistical tools

  4. Modernisation starting point Creation of: • Statistical Infrastructure Development Programme (SIDP) • Information Management Programme (IMP)

  5. Leading to... • Structural re-organisation • Production of a more responsive and high quality analysis service

  6. Assisted by... • The allocation of £75 million • Visiting other National Institutes - assessing technologies and tools used

  7. and... • Use of contract staff • Internal staff trained in new technology • Working with ONS’ Methodology Group and Policy and Quality Division

  8. Progress so far ... • Development of a Demonstrator system • Creation of Statistical Value Chain (SVC) • SVC aided implementation of Statistical Infrastructure Projects (SIPs)

  9. and... • Commission of 4 Re-engineering Projects (REPs) - The pathfinders being: • Labour Market Statistics • National Accounts

  10. plus ... • Creation of a modern website • new ‘look & feel’ • new content based on metadata • new search facilities • Creation of a metadata system • Classifications (May 2004) • Administrative and Survey Data Management System (July 2004) • QuestionLibrary (future component)

  11. ONS Metadata • Categorised into 4 groups: • Statistical • Discovery • Control • Technical • Supports data ONS collects and produces

  12. The Metadata System will .. • Browser based • Enable users to drill down • Varying views via ‘actor roles’ • Tools to analyse, create and change metadata • Tools for integration with REPs and SIPs (post Phase 1)

  13. Metadata System progress • Classifications • designed and built - testing imminent • test plans being developed • classifications prepared for loading • migration plan developed • ASDMS (phase 1) • 130+ metadata items agreed • specification ready for design • registry of variables being developed • migration plan developed

  14. The Metadata System

  15. Achieving Quality • Introduction of single corporate system/repository • Work within standards set by Government Statistical Service and e-GMS • Introduction of: • controlled vocabularies • metadata standards • Harmonisation of methods for surveys and data collection - use of Question Library • Audit of metadata - to be conducted by Policy and Quality Division

  16. The future for ONS • An ambitious programme of work • establish a new ONS Corporate Toolbox and system • continue maintaining ONS business continuity • Research and implementation of established tools

  17. End results for ONS • Better equipped to develop and produce statistics • Improved performance and services for customers including: • increased speed of access to data • improved metadata to support data • data/metadata held on robust systems

  18. Questions or comments ?

More Related