Establishing E&I capability and best practices at Statistics NZ Vera Costa & Tracey Savage 2008 UNECE Work Session on Statistical Data Editing.

Slides:



Advertisements
Similar presentations
Programme Overview Mark Novels 5 th December 2011 Quality Assurance in Technical and Vocational Education and Skills Study Tour (5 th -9 th December 2011)
Advertisements

Quality Improvement in the ONS Cynthia Z F Clark Frank Nolan Office for National Statistics United Kingdom.
Achieve Benefit from IT Projects. Aim This presentation is prepared to support and give a general overview of the ‘How to Achieve Benefits from IT Projects’
OECD/INFE High-level Principles for the evaluation of financial education programmes Adele Atkinson, PhD OECD With the support of the Russian/World Bank/OECD.
Role of NSOs in Analysis John Cornish. Analysis underpins effective NSO operations Analysis is broad in extent, and it supports all phases of the production.
Narrowing the achievement gap through curriculum development – probe 6 Natalia Buckler (CUREE) & Michael Jopling (University of Wolverhampton)
Introduction of Internet Survey Methodology to the Emirate of Abu Dhabi Andrew Ward, Maitha Al Junaibi and Dragica Sarich.
Recent international developments in Energy Statistics United Nations Statistics Division International Workshop on Energy Statistics September 2012,
Release & Deployment ITIL Version 3
MAF’s M & E System Development Achievements and Ways Forward SWG-ARD, September 30, 2014 DoPC, MAF By: Somphathay Liengsone Deputy Director of Project.
Special Education in the New Zealand Education Context
Summary of workshop Workshop on Writing Metadata for Development Indicators Lusaka, Zambia 30 July – 1 August 2012.
Shelter Training 08b – Belgium, 16 th –18 th November, 2008 based on content developed by p This session describes the benefits of developing a strategic.
1 SHARING DATA: Lessons from IOM’s Data Sharing Mechanism in Eastern Europe and Central Asia UNECE Regional Workshop on international migration statistics.
Enhancing student learning through assessment: a school-wide approach Christine O'Leary, Centre for Promoting Learner Autonomy Sheffield Business School.
Research Quality Assessment following the RAE David Sweeney Director, Research, Innovation, Skills.
1 Women Entrepreneurs in Rural Tourism Evaluation Indicators Bristol, November 2010 RG EVANS ASSOCIATES November 2010.
Assessing The Development Needs of the Statistical System NSDS Workshop, Trinidad and Tobago, July 27-29, 2009 Presented by Barbados.
Overall Quality Assurance, Selecting and managing external consultants and outsourcing Baku Training Module.
Recommended Practices for Editing and Imputation in the European Statistical System: the EDIMBUS Project* Orietta Luzi (Istat, Italy) Ton De Waal (Statistics.
Introduction 1. Purpose of the Chapter 2. Institutional arrangements Country Practices 3. Legal framework Country Practices 4. Preliminary conclusions.
The Research Excellence Framework Expert Advisory Groups round 1 meetings February 2009 Paul Hubbard Head of Research Policy.
Direction and system changes impacting on data editing and imputation at Statistics New Zealand Paper by Emma Bentley and Felibel Zabala, presented by.
High-stakes Numbers: Quality and Official Statistics James King Project Manager Managing Statistical Data Quality Project 14 Feb.
Use of Administrative Data Seminar on Developing a Programme on Integrated Statistics in support of the Implementation of the SNA for CARICOM countries.
Effective Learning Support: The key to quality and success Enhancement of Learning Support.
7 th Global RCE Conference Teacher Education and Better Schools Thematic Discussions.
European Conference on Quality in Official Statistics Session 26: Census 2011 « Helsinki, 6 May 2010 « Census quality control with BSC: the Portuguese.
1 UN Development Account Project on Improvement of Disability Statistics Seventh Meeting of the Washington Group on Disability Statistics September 19-21,
Modernisation of Statistics Production Stockholm November 2009 Summary and Conclusions New York 24 February 2010 Mats Wadman Deputy Director General Statistics.
Statistics New Zealand's Move to Process-oriented Statistics Production Julia Gretton and Tracey Savage IAOS Conference Shanghai, China, October 2008.
GOOD PRACTICES IN TECHNICAL COOPERATION FOR STATISTICS Paris 21 Meeting Paris, France, June 2000.
United Nations Economic Commission for Europe Statistical Division Data Initiatives: The UNECE Gender Database and Website Victoria Velkoff On behalf of.
Business model Transformation Strategy (BmTS) John Pearson and Tracey Savage Statistics NZ’s.
Topic (iii): Macro Editing Methods Paula Mason and Maria Garcia (USA) UNECE Work Session on Statistical Data Editing Ljubljana, Slovenia, 9-11 May 2011.
Outlining a Process Model for Editing With Quality Indicators Pauli Ollila (part 1) Outi Ahti-Miettinen (part 2) Statistics Finland.
1 Title of presentation Reflections on the future agenda of the CCSA Werner Bier and Henri Laurencin 20 th Session of the CCSA, Frankfurt, September.
Measuring Sustainable development: Achievements and Challenges Enrico Giovannini OECD Chief Statistician June 2005.
Enterprise education Guzmán García González-Posada.
Beverly Harris Collaboration in Statistics: The Case of St. Kitts and Nevis NSDS Workshop Anguilla November 9 th
The implementation programme for the 2008 SNA and supporting statistics UNECE special session on National Accounts for economies in transition Geneva,
United Nations Oslo City Group on Energy Statistics OG7, Helsinki, Finland October 2012 ESCM Chapter 8: Data Quality and Meta Data 1.
Fourth IABIN Council Meeting Support to Building the Inter-American Biodiversity Information Network.
Utrecht, 20 februari 2009 Statistics Netherlands 16 september 2010Statistics Netherlands The Statistical Office as an attractive employer and measures.
Assessment Design and its relationship to NARS and ILOs Arthur Brown Advisor to the Quality Assurance and Accreditation Project Republic of Egypt.
UNSD Recent international developments in Energy Statistics.
Standardisation in the European Statistical System inventory of normative documents and the standard-setting process – results of the ESSnet on Standardisation.
Birmingham Primary Strategy Team Renewing the Frameworks Training Session 4 Beginning the implementation process.
1 Governance strategy for the Washington City Group Comments on draft proposal by Howard Meltzer (UK) February Brussels.
Review of the UNECE Glossary of Terms on Statistical Data Editing Paper by Statistics New Zealand’s Editing and Imputation Methodology Network Presented.
Mexico’s Experience Monitoring Millennium Development Goals New York, 17 th December, 2013 Enrique Ordaz INEGI 1 Open Working Group.
Commissioning Support Programme Market Facilitation 10 July 2012.
Making effective use of data to support self- evaluation and target setting Governor Conference October 2015 Workshop – Teacher Assessment Verification.
Part One: E-learning at EGGS 2011 Part Two: 1 to 1 Netbooks – Looking forward to 2012 Presentation to PTA 8 th June 2011 Claire Amos
QA4EO in 10 Minutes! A presentation to the 10 th GHRSST Science Team Meeting.
United Nations Economic Commission for Europe Statistical Division GSBPM in Documentation, Metadata and Quality Management Steven Vale UNECE
4 th Biennial SAMEA Conference Meaningful Evaluation: Improving Use and Results Evaluation of Teacher-Directed ICT Initiatives Presenter Mokete Mokone.
Senior Management Team Away Day Session 1: HMS Business Update Presentation by Paul Worthington Managing Director Friday 19th and Saturday 20th October.
Development Account: 6th Tranche Strengthening the capacity of National Statistical Offices (NSOs) in the Caribbean Small Island Developing States to fulfill.
Title of presentation Copyright IDS and MeTA 2010
Session 2: Institutional arrangements for energy statistics
LEARNING REPORT 2016 Disasters and Emergencies Preparedness Programme
Presented by Benjamin Sila Samoa Bureau of Statistics November 2013
Economic Statistics - Capacity Screening Progress on NSDIS
Evaluation in the GEF and Training Module on Terminal Evaluations
Poverty and the Millennium Development Goals
Energy Statistics Compilers Manual
Experiences in Developing Statistical Quality Frameworks
Étienne Saint-Pierre, Statistics Canada
INFORMATION SEMINAR Interreg V-A Latvia-Lithuania programme
Presentation transcript:

Establishing E&I capability and best practices at Statistics NZ Vera Costa & Tracey Savage 2008 UNECE Work Session on Statistical Data Editing

Overview Introduction E&I Methodology Network E&I Objectives E&I Principles E&I Strategy The Pacific Island Attachment Programme Current concerns Conclusions

Introduction E&I as a key issue within Statistics NZ –Context in which editing takes place has changed –Desire to improve the efficiency of data processing –Wider view of the objectives for E&I –Users’ demand for access to metadata

Introduction (cont.) Approach used – development of: –E&I Objectives –E&I Principles –E&I Strategy Development led by the E&I Methodology Network

E&I Methodology Network Established in 2004 Aims –Establish, document and promote E&I best practice –Provide information on E&I procedures and the quality of the data –Coordinate E&I skill development –Understand and research E&I

E&I Methodology Network (cont.) Activities of the network –Development of E&I objectives, principles and strategy –Research into generalised E&I tools –Offering E&I training

E&I Objectives Statistics NZ E&I objectives –Provide users with fit for purpose, plausible data and outputs by the most effective and efficient means –Ensure all users are better informed about the quality of our data and statistical outputs –Continuously improve our end-to-end business processes and overall data quality

E&I Principles Importance of having E&I principles Over-arching E&I principle ‘ Statistics NZ should maintain, wherever possible, the original data provided by the respondent or data supplier ’ Example of this principle in action – 2006 Census of Population and Dwellings Quality Management Strategy

E&I Strategy Deliverables –E&I Plan template –E&I Standards and Guidelines –E&I Training

E&I Strategy (cont.) E&I Plan –Developed for each family of outputs –Why have one? raise issues related to prioritisation of different users’ needs document the agreed E&I approach manage users’ expectations about the quality of the final outputs

E&I Strategy (cont.) E&I Plan (cont.) –How to create one No ‘one size fits all’ Discussions / workshops involving the Subject Matter Area(s) –What to take into account User needs Operational constraints Lessons learnt

E&I Strategy (cont.) E&I Standards & Guidelines –Why have them? – to ensure a consistent approach across similar outputs –Target areas E&I processes, methods and tools E&I metadata

E&I Strategy (cont.) E&I Standards & Guidelines (cont.) –Deliverables E&I Standards & Guidelines Document E&I Manual Presentations to promote the standards Modular E&I training

Pacific Island Attachment Programme What is it? Focus of the 2006 / 2007 Programme ‘data quality and editing strategies encompassing both business and household data’ Participant countries: Palau, Samoa, Tonga

Pacific Island Attachment Programme (cont.) Challenges –Cultural differences –Totally different work environment –Heterogeneous range of work experiences

Pacific Island Attachment Programme (cont.) Approach used –Providing an overview of E&I, focusing on E&I concepts How the knowledge could be applied back home –Avoiding mathematical expressions –Interacting with several Subject Matter Areas –Having a balance between E&I training Work on individual projects

Pacific Island Attachment Programme (cont.) Relevant topics –E&I objectives and principles –E&I methodology (not too much detail or formulas) –Quality and E&I quality indicators –Documentation

Pacific Island Attachment Programme (cont.) Achievements –Participants Project completion Advantages of a different approach when implementing E&I processes –Statistics NZ Pilot for E&I training

Challenges facing Statistics NZ Cultural changes High staff turnover Prioritisation of the work to be done

Conclusions Importance of the E&I Network Acknowledgements

Contacts Vera Costa Tracey Savage