South African Statistical Quality Assessment Framework
|
|
- Laura Conley
- 6 years ago
- Views:
Transcription
1 South African Statistical Quality Assessment Framework 30 August 2011 National Statistics System Division 1
2 Overview Purpose Background Definition Statistics Act South African Statistical Assessment Framework (SASQAF) Purpose of the framework Structure of the framework Definition of statistical quality Dimensions of Quality Practical Application Conclusion 2
3 Purpose To explain the current practice in the assessment of the quality of statistical products within the broader NSS through application of South African statistical quality Assessment Framework (SASQAF) 3
4 Background The statistical landscape is characterized by three gaps Capacity gap Quality gap Information gap To address the Quality Gap the SG has gazetted through parliament the SASQAF on the 23 rd September SASQAF quality requirements must be met by all statistics producers in the NSS to qualify as Official Statistics. 4
5 Definition Official statistics definition is statutory see Statistics Act [No. 6 of 1999] Official statistics are statistics designated as official statistics by the Statistician-General within the provisions of the Statistics Act Practical criteria of official statistics Must be used in the public domain Are from organs of state and other agencies that are partners in the National Statistics System [NSS] Are sustainable Have met quality criteria as defined by the Statistician-General [SASQAF] National statistics definition is implicitly statutory National statistics are statistics not designated as official statistics by the Statistician-General 5
6 The Statistics Act No. 6 of 1999 Stats SA is governed by the Statistics Act (No. 6 of 1999) The Stats Act covers Official Statistics and Other statistics Implies, Stats Act covers all statistics produced that informs policy, planning and monitoring of government performance. Section 14(7) of the Act, empowers the Statistician-General to designate as official statistics any statistics or class of statistics produced by Stats SA or any organ of state Required that a rational, sustainable and transparent framework for assessing the quality of those statistics being developed South African Statistical Quality Assessment Framework (SASQAF) has been developed for this purpose 6
7 SASQAF - Based on international best practice World Bank EuroStat South Africa Canada UK Prerequisites of quality Prerequisites of quality Relevance Relevance Relevance Relevance Accuracy & Reliability Accuracy Accuracy Accuracy Accuracy Accessibility Timeliness & Punctuality Accessibility & clarity Timeliness Timeliness Timeliness & Punctuality Accessibility Accessibility Accessibility & clarity Coherence Coherence & Comparability Coherence Coherence Methodological Soundness Integrity Interpretability Methodological Soundness Integrity Interpretability Serviceability Comparability Comparability 7
8 South African Quality Assessment Framework (SASQAF) Developed by Stats SA with the help of international consultants Based on the Data Quality Assessment Framework (DQAF) of the International Monetary Fund (IMF) It covers - all activities related to the statistical value chain for sample surveys and administrative records 8
9 Purpose of the framework Provides a structure for the assessment of statistical products based on 1. Dimensions of quality 2. Indicators, and 3. benchmarks Used in various contexts Reviews within NSS Self-assessment by data-producing agencies Assessment by data users Assessment by international agencies e. g. IMF 9
10 Structure of the framework Dimension Prerequisites of Quality Relevance Accuracy Timeliness Accessibility Interpretability Comparability and Coherence Methodological soundness Integrity Quality Indicators 8 indicators 5 indicators 7 indicators 4 indicators 13 indicators 3 indicators 6 indicators 6 indicators 6 indicators 58 indicators 10
11 Structure of the framework Each of the 8 quality dimensions consists of number of indicators Within the indicators a number of benchmarks are identified relating to a 4-point scale; Quality statistics (4) Acceptable statistics (3) Questionable statistics (2) Poor statistics (1) 11
12 Quality dimension Description 0. Prerequisites of quality Refers to the institutional and organisational conditions that have an impact on data quality. Key components Legal and institutional environment (including Memoranda of Understanding (MoUs) or Service Level Agreements (SLAs) Privacy and confidentiality Resources are commensurate with the needs of statistical programmes Quality is the cornerstone of statistical work Structure of the framework Indicator The responsibility for producing statistics is clearly specified. Standards and policies are in place to promote consistency of methods and results. Data sharing and coordination among data-producing agencies is clearly specified and adhered to. Quality Statistics Acceptable Statistics Assessment Levels Questionable Statistics Poor Statistics Level 4 Level 3 Level 2 Level 1 The responsibility for producing statistics is explicitly specified through a legal framework. All standards and policies are in place to promote consistency of methods and results, and are adhered to. Data sharing and coordination among dataproducing agencies is explicitly specified through a legal framework. The responsibility for producing statistics is specified through a legal framework. The majority of standards are in place to promote consistency of methods and results. Data sharing and coordination among dataproducing agencies is specified through a legal framework. The responsibility for producing statistics is implied through a legal framework. Some standards are in place to promote consistency of methods and results. Data sharing and coordination among dataproducing agencies is implied through a legal framework. The responsibility for producing statistics is not specified. No standards are in place to promote consistency of methods and results. Data sharing and coordination among dataproducing agencies is not specified. 12
13 Definition of Statistical Quality Quality of a statistical product is defined in terms of fitness for use Quality can be decomposed into a number of quality dimensions. SASQAF identifies 8 dimensions of quality Each dimension has associated quality indicators, standards and benchmarks. 13
14 Quality Dimensions: Review SASQAF identifies 8 quality dimensions Free from political interference: Adherence to objectivity, professionalism, transparency, ethical standards Coherence Integrity Relevance SASQAF (data quality) Meeting real needs of clients Methodological soundness Sound methodologies: International standards and guidelines - good practice Agreed practices Dataset-specific Harmonisation of different info within broad analytical and temporal framework Interpretability Availability of supplementary info and metadata Accessibility Ease of obtaining info from agency Timeliness Info available at desired reference point Accuracy Correctly describes phenomena it is designed to measure 14
15 SASQAF & Generic Statistical Value Chain Quality Management & Metadata Management 1 Need 2 Design 3 Build 4 Collect 5 Process 6 Analyze 7 Disseminate 8 Archive 9 Audit 1.1 Determine need for information 1.2 Consult & confirm information requirements 1.3 Establish output objectives 1.4 Check data availability 1.5 Prepare business case 2.1 Outputs 2.2 Frame and sample methodology 2.3 Tabulation Plan / Variables 2.4 Data collection 2.5 Statistical processing methodology 2.6 Define archive rules 2.7 Processing systems and workflow 2.8 Detailed project plan 3.1 Data collection instrument 3.2 Process components 3.3 Configure workflows 3.4 Test end-toend 3.5 Finalise production systems 3.6 Draw sample 4.1 Set up collection 4.2 Run collection 5.1 Standardize 5.1 Classify and code 5.2 Load data into processing environment 5.3 Integrate data 5.4 Edit and impute 5.5 Derive new variables 5.6 Calculate weights 6.1 Acquire ancillary information 6.2 Calculate aggregates 6.3 Prepare draft outputs 6.4 Validate 6.5 Describe and explain 6.6 Disclosure control & Anonymise 6.7 Finalize outputs for disseminatio n 7.1 Update output systems 7.2 Produce products 7.3 Produce Quality Statement. 7.4 Manage release of products 7.5 Market and promote products 7.6 Manage customer queries 8.1 Manage archive repository 8.2 Preserve data and associated metadata 8.3 Dispose of data and associated metadata 9.1 Gather inputs for audit 9.2 Prepare audit report 9.3 Quality plan 15
16 1. Need 1.1 Determine need for information 1.2 Consult & confirm information requirements 1.3 Establish output objectives 1.4 Check data availability 1.5 Prepare business case initial investigation identification of what statistics are needed & for what purpose. what is needed of the statistics. Practice amongst other organisations, & methods used by those organisations. consulting with the stakeholders (detail need). user needs are required (why, what, when, how). Subsequent iterations of this phase to ascertain whether previously identified needs have changed (critical to this subprocess). identifies the statistical outputs required. ensure output to meet the user needs identified. Agree on suitability of proposed outputs. Agree on quality measures with users. NOTE: This will include reaching agreement on which SASQAF quality indicators it is expected to report on. The survey area negotiates this with M&E Check if current data sources could meet user requirements. Conditions for availability? Restrictions on their use? Research potential administrative data sources and their methodologies. Determine suitability of admin sources. Develop & prepare strategy for filling any Document the findings of previous subprocesses. formulate business case to get approval to implement. These Include: Description of the As- Is business process (if it already exists), highlight any inefficiencies & issues to be addressed, Proposed To-Be solution, Statistical business process to be developed, Costs and benefits External constraints, & Budget allocation. remaining gaps 16
17 Process Audit 17
18 Process Audit 18
19 19
20 20
21 Export Ready Results 21
22 Action Plan 22
23 Adherence to SASQAF will Conclusion encourage compliance to the agreed standards, procedures and guidelines resulting in improvement of quality, closing the quality gap ensure that more statistics are certified as official closing the supply gap assist the users in assessing the quality of data and products promoting transparency ensure that all published products include statements about data quality (quality declaration) informing users about the quality of data and products ensure that more statistical products produced in the NSS are declared as fit for use 23
24 Thank you 24
Quality Assessment and Indicators
Quality Assessment and Indicators 1 Many have written on this topic Statistics Canada. Policy on Informing Users of Data Quality and Methodology. ONS (UK). Guidelines for Measuring Statistical Quality.
More informationAPPLYING STATISTICAL PROCESS CONTROL (SPC) TO OFFICIAL STATISTICS
6 th Research/Expert Conference with International Participations QUALITY 2009, Neum, B&H, June 04 07, 2009 APPLYING STATISTICAL PROCESS CONTROL (SPC) TO OFFICIAL STATISTICS Prof. Vesna Bucevska, Ph.D.
More informationNational Quality Assurance Frameworks. Mary Jane Holupka September 2013
National Quality Assurance Frameworks Mary Jane Holupka September 2013 1 Presentation 1.1 - OUTLINE Understanding Quality BASIC CONCEPTS - Quality and Dimensions of Quality - Quality Assessment - Quality
More informationSession 2: International cooperation on quality management - principles; harmonization of frameworks; peer reviews; support of countries
Committee for the Coordination of Statistical Activities Conference on Data Quality for International Organizations Rome, Italy, 7 and 8 July 2008 Session 2: International cooperation on quality management
More informationSixteenth Meeting of the IMF Committee on Balance of Payments Statistics Washington DC, December 1-5, 2003
BOPCOM-03/4 Sixteenth Meeting of the IMF Committee on Balance of Payments Statistics Washington DC, December 1-5, 2003 Application of the Data Quality Assessment Framework to Balance of Payments Statistics
More informationDefinition of quality in statistics
Definition of quality in statistics Sirkku Mertanen Statistics Finland, Helsinki, 21-24 April 2015 ESTP course on Quality Management in Statistical Agencies Introductory course Contents of the session
More information12 th World Telecommunication/ICT Indicators Symposium (WTIS-14)
12 th World Telecommunication/ICT Indicators Symposium (WTIS-14) Tbilisi, Georgia, 24-26 November 2014 Presentation Document C/18-E 25 November 2014 English SOURCE: TITLE: Consultant to ITU ITU Data Quality
More informationSession 5: Tools and practices for collecting quality metadata from data providers and informing users on the quality of statistics
Committee for the Coordination of Statistical Activities Conference on Data Quality for International Organizations Newport, Wales, United Kingdom, 27-28 April 2006 Session 5: Tools and practices for collecting
More informationEUROPEAN STATISTICS CODE OF PRACTICE
EUROPEAN STATISTICS CODE OF PRACTICE adopted by the Statistical Programme Committee on 24 February 2005 Preamble Definitions: For the purpose of this document: European Statistics shall mean Community
More informationCHAPTER 17. SERVICEABILITY AND ACCESSIBILITY OF EXTERNAL SECTOR STATISTICS
371 CHAPTER 17. SERVICEABILITY AND ACCESSIBILITY OF EXTERNAL SECTOR STATISTICS 17.1 The focus of this chapter is on two important aspects of data quality assessment - serviceability and accessibility -
More informationNational Quality Assurance Frameworks. Regional Course on 2008 SNA (Special Topics): Improving Exhaustiveness of GDP Coverage
National Quality Assurance Frameworks Regional Course on 2008 SNA (Special Topics): Improving Exhaustiveness of GDP Coverage 31 August-4 September 2015 Daejeon, Republic of Korea United Nations Statistics
More informationCompliance with South African POPI Acts
Compliance with South African POPI Acts www.tdw.co.za Ebook Developed by Virginia Hendricks THE POPI ACT Ensuring that your organisation is abiding by both your own industry regulations and government
More informationI. Background: NQAF and Expert Group II. The generic NQAF Template III. NQAF Guidelines (section 3 examples)
National Quality Assurance Frameworks Regional Training Course on Agricultural Cost of Production Statistics 21 25 November 2016, Daejeon, Republic of Korea 1 National Quality Assurance Frameworks (NQAF)
More informationStatistics Centre Abu Dhabi Charter of Code of Practices
Statistics Centre Abu Dhabi Charter of Code of Practices for the Exchange of Statistical Data and Other Related Work In regard to the community forums of the municipal system Document Code: TEC-COD-002
More informationQuality principles and user needs of balance of payments statistics
Quality principles and user needs of balance of payments statistics BALANCE OF PAYMENTS STATISTICS DATA COLLECTION AND COMPILATION Rome, 9-10 June, 2011 Giacomo Oddo Overview Definition of quality and
More informationModernization Working Group (SAB-AP Meeting)
Modernization Working Group (SAB-AP Meeting) Applying GSBPM in the National Enterprise- Wide Statistical Systems (NEWSS ) DEPARTMENT OF STATISTICS MALAYSIA 2 December 2014 1 NEWSS - Vision An integrated
More informationRECOMMENDATION OF THE OECD COUNCIL ON GOOD STATISTICAL PRACTICE
RECOMMENDATION OF THE OECD COUNCIL ON GOOD STATISTICAL PRACTICE Recommendation of the OECD Council on Good Statistical Practice As approved by the Council on 23 November 2015 [C(2015)128 - C(2015)128/CORR1
More informationEMCDDA Internal statistics code of practice
EMCDDA Internal statistics code of practice Introduction: One of the three core principles of the EMCDDA 2013 15 strategy is a commitment to efficiency. This is to be achieved, among others, via an improved
More informationIstat quality policy: Preconditions of quality assessment
Istat quality policy: Preconditions of quality assessment EU Twinning Project JO/13/ENP/ST/23 23-27 November 2014 Component 3: Quality and metadata Activity 3.9: Quality Audit I Mrs Giovanna Brancato,
More informationA cross-cutting project on Information Models and Standards
Distr. GENERAL 29 April 2013 WP.5 ENGLISH ONLY UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS EUROPEAN COMMISSION STATISTICAL OFFICE OF THE EUROPEAN UNION (EUROSTAT)
More informationThe Statistics Code of Practice in Jordan: Challenges and Future. Mohammad KHALAF
The Statistics Code of Practice in Jordan: Challenges and Future Mohammad KHALAF Department of Statistics, Amman, Jordan Mobile: 00962-79-5880413 Email: mkhalaf@dos.gov.jo Email: khalaf30@gmail.com Keywords:
More informationGSBPM a proposed evolution of the model
GSBPM a proposed evolution of the model Telling Canada s story in numbers Paul Holness, Senior Analyst Jackey Mayda, Director International Cooperation and Corporate Statistical Methods April 2018 Evolving
More informationRoadmap. Enhanced access, use and management of administrative data in statistical programs
Roadmap Enhanced access, use and management of administrative data in statistical programs Prepared as part of the PRASC Regional Seminar on Administrative Data Trinidad, Jan 26-28, 2016 Page 2 ROADMAP
More information11 th World Telecommunication/ICT Indicators Symposium (WTIS-13)
11 th World Telecommunication/ICT Indicators Symposium (WTIS-13) Mexico City, México, 4-6 December 2013 Contribution to WTIS-13 Document C/6-E 5 December 2013 English SOURCE: TITLE: International Monetary
More informationEXECUTIVE SUMMARY SDG 4 DATA DIGEST The Quality Factor: Strengthening National Data to Monitor Sustainable Development Goal 4
EXECUTIVE SUMMARY SDG 4 DATA DIGEST 2017 The Quality Factor: Strengthening National Data to Monitor Sustainable Development Goal 4 UNESCO The constitution of the United Nations Educational, Scientific
More informationQuality Frameworks: Implementation and Impact
Committee for the Coordination of Statistical Activities Conference on Data Quality for International Organizations Newport, Wales, United Kingdom, 27-28 April 2006 Session 1: Quality assurance frameworks
More informationQuality in statistics, the quality framework of the ESS Zsuzsanna Kovács Team Leader, Quality Team Unit D4, Eurostat 24/10/2016
Quality in statistics, the quality framework of the ESS Zsuzsanna Kovács Team Leader, Quality Team Unit D4, 24/10/2016 Overview What is quality and quality in statistics? The European Statistical System
More informationQuality assurance framework Case of Hungarian Central Statistical Office (HCSO), December 2009
Quality assurance framework Case of Hungarian Central Statistical Office (HCSO), December 2009 1. Context, quality policy, quality model Introduction The HCSO started its systematic approach to quality
More informationOfficial Energy Statistics - IRES
Paper to the Oslo Group meeting in Ottawa February 2-6, 2009. Session 4 Chapter 2. Official Energy Statistics - IRES Olav Ljones, Statistics Norway. olj@ssb.no A. What is official statistics? 1. IRES will
More informationTourism Statistics: Challenges and Good Practices. Regional Workshop for the CIS countries. Data quality. Item 12. Peter LAIMER UNWTO
Tourism Statistics: Challenges and Good Practices Regional Workshop for the CIS countries Data quality Item 12 Peter LAIMER UNWTO UNWTO/UNSD WS Moldova, Meanings of quality Overused item and questioned,
More informationThe system of official statistics in Poland. Janusz Dygaszewicz Director Programming and Coordination Department CSO, POLAND, March 2017
The system of official statistics in Poland Janusz Dygaszewicz Director Programming and Coordination Department CSO, POLAND, March 2017 Long-term history (tradition) of Polish statistics 1789 - first countrywide
More informationDOCUMENTS AND RECORDS MANAGEMENT COMPLIANCE
DOCUMENTS AND RECORDS MANAGEMENT COMPLIANCE SECTOR / ADMINSTRATION AND SECRETARIAL NON-TECHNICAL & CERTIFIED TRAINING COURSE This programme covers the strategies, tools, and technologies used to capture,
More informationUN Statistics Quality Assurance Framework
UNSYSTEM/2017/3 28 February 2017 Committee of the Chief Statisticians of the United Nations System (CCS-UNS) New York, 5 March 2017 United Nations Headquarters, Room DC2-1684 15:00 18:00 =====================================================================
More informationDocumentation of statistics for Business Demography 2015
Documentation of statistics for Business Demography 2015 1 / 10 1 Introduction The purpose of the Business Demography is to provide information about the development of enterprise births and deaths as
More informationEconomic and Social Council
United Nations Economic and Social Council ECE/CES/2016/8/Add.1 Distr.: General 8 February 2016 Original: English Economic Commission for Europe Conference of European Statisticians Sixty-fourth plenary
More informationToward the Modernization of Official Statistics at BPS-Statistics Indonesia: Standardization Initiatives and Future Directions
Distr. GENERAL Working Paper February 2014 ENGLISH ONLY UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE (ECE) CONFERENCE OF EUROPEAN STATISTICIANS ORGANISATION FOR ECONOMIC COOPERATION AND DEVELOPMENT (OECD)
More informationPractical experience in the implementation of data and metadata standards in the ESS
Practical experience in the implementation of data and metadata standards in the ESS Jan Planovsky 1, Bogdan-Sorin Zdrentu 2 1 Eurostat, European Commission, Luxembourg; Jan.Planovsky@ec.europa.eu 2 Eurostat,
More informationGSBPM as an aid for self-assessment Activity A1: June 2016
GSBPM as an aid for self-assessment Activity A1: 20-23 June 2016 Rasmus Anker Kristiansen Head of Section, Service Producer Price Index (SPPI) rkr@dst.dk Introduction to GSBPM It provides a standard framework
More informationICP Quality Assurance Framework
International Comparison Program ICP Quality Assurance Framework Global Office Operational Material Table of Contents 1. INTRODUCTION... 4 1.1 International Comparison Program... 4 1.2 Improving quality...
More informationSustainibility Reporting For The Waste Managementsector Based On Global Reporting Initiative Principles And Guidelines.
ISWA Congress, Lisbon, Octobre 2009 CONTACT Sustainibility Reporting For The Waste Managementsector Based On Global Reporting Initiative Principles And Guidelines. Jos Artois, Communication Manager Indaver
More informationSustainable Development Goals. 05 September Dr Pali Lehohla Statistician General
Sustainable Development Goals 05 September 2017 Dr Pali Lehohla Statistician General Contents Moving Towards SDG Stats SA s role Progress to date SDG baseline report 1 2 3 4 Integrated Indicator framework
More informationRef: SADC/2/3/3 Vacancy No 2 of 2017 SOUTHERN AFRICAN DEVELOPMENT COMMUNITY VACANCY ANNOUNCEMENT
SOUTHERN AFRICAN DEVELOPMENT COMMUNITY VACANCY ANNOUNCEMENT The Southern Africa Development Community Secretariat (SADC) is seeking to recruit highly motivated and experienced professionals who are citizens
More information2018 Census data quality management strategy
2018 Census data quality management strategy Crown copyright See Copyright and terms of use for our copyright, attribution, and liability statements. Citation Stats NZ (2017). 2018 Census data quality
More information4.1 The need for country assessments
4. COUNTRY ASSESSMENT framework 4.1 The need for country assessments The Action Plan for Africa of the Global Strategy foresees the establishment of an M&E system to closely monitor and guide the implementation
More informationReport. on the results of the first self-assessments carried out by the statistical authorities of the European Statistical System
EUROPEAN COMMISSION EUROSTAT Report on the results of the first self-assessments carried out by the statistical authorities of the European Statistical System against the principles and indicators of the
More information(5) May carry out maintenance of the database (6) May carry out monitoring and organizing daily uploading of data and automatic issue of reports
Government of the Republic Regulation No. 92 of 8 November 2012 "Procedure for establishment of composition of posts of national authorities, classification of posts and procedure for classifying posts
More informationQuality Assessment of Statistical Processes and Products at SORS
Quality Assessment of Statistical Processes and Products at Seljak, Rudi Statistical Office of the Republic of Slovenia Vožarski pot 12 1000 Ljubljana, Slovenia Rudi.seljak@gov.si SORS Introduction Quality
More informationPrepared by the United Nations Statistics Division
BOPCOM-09/09 Twenty Second Meeting of the IMF Committee on Balance of Payments Statistics Shanghai, China P.R., November 2 4, 2009 THE 2008 SNA IMPLEMENTATION Prepared by the United Nations Statistics
More informationTRAINING NEEDS ASSESSMENT TOOL DRAFT
TRAINING NEEDS ASSESSMENT TOOL DRAFT November 2017 1 Guideline: How to complete the Training Needs Assessment Tool Introduction... 3 1. Approaches used to develop Training Needs Assessment Tool... 3 2.
More informationTemplate - Institutional Research Data Management Strategy
Template - Institutional Research Data Management Strategy Draft 4 Prepared by the Portage Institutional RDM Strategy Working Group There is growing recognition in the research community and beyond of
More informationINTERNATIONAL MONETARY FUND. Statistics Department. Data Quality Assessment Framework (DQAF) for National Accounts Statistics
DQAF July 2003 INTERNATIONAL MONETARY FUND Statistics Department Data Quality Assessment Framework (DQAF) for National Accounts Statistics Point of contact in the IMF for this Framework: Real Sector Division
More informationCOMMUNITY INNOVATION SURVEY (CIS)
Standard Report on Methods and Quality for COMMUNITY INNOVATION SURVEY (CIS) Published as: Innovation in Irish Enterprises This documentation applies to the reporting period: 2012 2014 inclusive Last edited:
More informationii This Gazette is also available free online at
HIGHER EDUCATION AND TRAINING INFORMATION POLICY Department of Higher Education and Training October 2013 Published by the Department of Higher Education and Training 123 Francis Board Street, Pretoria
More informationData quality and Indicators. Tübingen, March 2005 August Götzfried Eurostat - Unit B5
Data quality and Indicators Tübingen, March 2005 August Götzfried Eurostat - Unit B5 Background Eurostat works since more than 0 years on quality in statistics; the following results were achieved: The
More informationUIS light DQAF for administrative data and other UIS CD tools
UIS light DQAF for administrative data and other UIS CD Marc Bernal, UIS Regional Advisor for SSA 3 rd SDG 4 TCG meeting Montréal, 1 st June 2017 Summary content Light DQAF DQA CapED UIS CD UIS Light DQAF
More informationStandards and processes for integrating metadata in the European Statistical System
UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS Workshop on Statistical Metadata (METIS) (Geneva,Switzerland 5-7 October 2011) Session 5: Topic I: Metadata flows within
More informationGovernment of Rwanda records and archives management policy
The East African Community EAC IRC Repository http://repository.eac.int Republic of Rwanda Strategies/ Policy Frameworks 2012-09 Government of Rwanda records and archives management policy Republic of
More informationPERFORMANCE EVALUATION POLICY [PTC India Limited (PTC)]
PERFORMANCE EVALUATION POLICY [PTC India Limited (PTC)] For internal use only Page 1 of 10 The following Performance Evaluation Policy is for the use to the Board of Directors of PTC ( Company ) and is
More informationCompetency Map for the Data Science and Analytics-Enabled Graduate
Competency Map for the Data Science and Analytics-Enabled Graduate Purpose of Competency Map The purpose of this competency map is to identify the specific skills, knowledge, abilities, and attributes
More informationED-DATA QUALITY ASSESSMENT FRAMEWORK (Ed-DQAF) TO EVALUATE ADMINISTRATIVE ROUTINE DATA SYSTEMS: MANUAL FOR THE CONDUCT OF AN EVALUATION BY A NATIONAL
ED-DATA QUALITY ASSESSMENT FRAMEWORK (Ed-DQAF) TO EVALUATE ADMINISTRATIVE ROUTINE DATA SYSTEMS: MANUAL FOR THE CONDUCT OF AN EVALUATION BY A NATIONAL TECHNICAL TEAM ii Table of Contents ACRONYMS... iii
More informationA Framework for Assessing the Quality of Income Poverty Statistics
December 2001 A Framework for Assessing the Quality of Income Poverty Statistics WORLD BANK Development Data Group Points of contact for this framework are: Ms. Sulekha Patel and Ms. Naoko Watanabe Development
More informationIssues in data quality and comparability in EU-SILC Vijay Verma University of Siena
Comparative EU Statistics on Income and Living Conditions: Issues and Challenges Eurostat and Statistics Finland Conference. Helsinki, 6-7 November, 2006. Issues in data quality and comparability in EU-SILC
More informationStreamline, Standardize and Automate Statistical Data Processing Case Study
Distr. General Working Paper 10 March 2014 ENGLISH ONLY UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE (ECE) CONFERENCE OF EUROPEAN STATISTICIANS ORGANISATION FOR ECONOMIC COOPERATION AND DEVELOPMENT (OECD)
More informationGeneric Statistical Business Process Model (GSBPM)
Workshop on Transparency and Reproducibility in Federal Statistics Workshop (June 21-22, 2017) Generic Statistical Business Process Model (GSBPM) How this model could contribute to transparency and reproducibility
More informationPUBLIC SECTOR MONITORING & EVALUATION TRAINING. 5 day training course
PUBLIC SECTOR MONITORING & EVALUATION TRAINING 5 day training course Accreditation: This 12-credit HEQF (2007) level eight short course covers knowledge of a formal postgraduate programme, approved and
More informationNATIONAL EXPORT STRATEGY
NATIONAL EXPORT STRATEGY BUILDING AN EXPORT CULTURE This document is for discussion purposes only and does not imply any engagement or liability on the part of the International Trade Centre (ITC). Copyright
More informationStandardisation for improvements in Statistics Norway Rune Gløersen 1 and Hans Viggo Sæbø 2
Proceedings of MSP2009 Modernisation of Statistics Production 2009 Standardisation for improvements in Statistics Norway Rune Gløersen 1 and Hans Viggo Sæbø 2 Statistics Norway has been running a programme
More informationQuality in Statistical Organizations- Concepts and Methodological Issues
Quality in Statistical Organizations- Concepts and Methodological Issues Lars Lyberg Statistics Sweden and Stockholm University Lars.Lyberg@scb.se Swiss Statistical Meeting,, Aarau, November 17-19, 19,
More informationDisclosure. and. Transparency
Disclosure and Transparency Chapter 4 DISCLOSURE AND TRANSPARENCY High quality disclosure for informed decision making 4.1 OVERVIEW Disclosure of reliable, timely information that is readily accessible
More informationScience Strategy
Science Strategy 2017-2019 September 2017 Food Safety Authority of Ireland Science Strategy, 2017-2019 CONTENTS EXECUTIVE SUMMARY 1 THE FSAI SCIENCE STRATEGY 2 SPECIFIC ACTIVITIES TO ACHIEVE THE STRATEGIC
More informationHarmonised Approach for ARD Implementation Strategy: common strategic framework, data and
Harmonised Approach for ARD Implementation Strategy: common strategic framework, data and meta data template and diagnostic tool Ivo Havinga United Nations Statistics Division/DESA Presentation prepared
More informationThe Use of Technology in Statistical Production
The Use of Technology in Statistical Production Ang Boon Heng 1, Eugenia Goh 2, Jeremy Heng 3 1 Ministry of Manpower, Singapore; ang_boon_heng@mom.gov.sg 2 Ministry of Manpower, Singapore; eugenia_goh@mom.gov.sg
More informationThis is the author s version of a work that was submitted/accepted for publication in the following source:
This is the author s version of a work that was submitted/accepted for publication in the following source: Walker, Sue M., Eynstone-Hinkins, James, & Schmider, Anneke (2011) Implementation of ICD-11...
More informationQuality Reports and Their Role in Metadata
Quality Reports and Their Role in Metadata Component A: Quality Management of Official Statistics Activity A.3: Quality reports, tools and methods 12. 15. September 2016 Karin Blix, Quality Coordinator,
More informationQIC Health and Community Services Core Standards 6 th Edition November 2009
QUALITY IMPROVEMENT COUNCIL QIC Health and Community Services Core Standards 6 th Edition November 2009 These standards are for use in the QIC Accreditation Program by approved participating organisations
More informationIT Service Delivery And Support Week Seven: SLA. IT Auditing and Cyber Security Fall 2016 Instructor: Liang Yao
IT Service Delivery And Support Week Seven: SLA IT Auditing and Cyber Security Fall 2016 Instructor: Liang Yao 1 Outsourcing Drivers Outsourced IT Works Outsourced IT Activity Samples Top Three Outsourcing
More informationDerbyshire Constabulary INFORMATION SHARING POLICY POLICY REFERENCE 06/101. This policy is suitable for Public Disclosure
Derbyshire Constabulary INFORMATION SHARING POLICY POLICY REFERENCE 06/101 This policy is suitable for Public Disclosure Owner of Doc: Head of Information Management Date Approved: April 2005 Review Date:
More informationGAMSO. Version 1.0: 1 March 2015
GAMSO Generic Activity Model for Statistical Organisations Version 1.0: 1 March 2015 About this document This document provides a description of the GAMSO and how it relates to other key standards for
More informationGlobal Assessments Peer Reviews Sector Reviews
Global Assessments Peer Reviews Sector Reviews Mihaela Bogatu Cooperation with Africa, Asia, Latin America, Caribbean and Pacific Bangkok, 13 December 2016 Overview The European statistics Code of Practice
More informationFundamental characteristics of the ESTONIAN statistical system and its transformation
Fundamental characteristics of the ESTONIAN statistical system and its transformation Asia-Pacific Conference 24-26.08.2016 in Bangkok: Transforming Official Statistics for implementation of the 2030 Agenda
More informationThe Assessment Process. Asian Development Bank Workshop October 2014 PEFA Secretariat
The Assessment Process Asian Development Bank Workshop October 2014 PEFA Secretariat Contents Stages in a typical process Upstream stakeholder coordination Scope of assessment: Concept Note/TOR Resources
More informationAligning Records Management with ICT/ e-government and Freedom of Information in East Africa
Aligning Records Management with ICT/ e-government and Freedom of Information in East Africa James Lowry and Anne Thurston, International Records Management Trust Abstract This paper provides an overview
More informationDrafting conventions for Auditing Guidelines and key terms for public-sector auditing
PSC INTOSAI Professional Standards Committee Drafting conventions for Auditing Guidelines and key terms for public-sector auditing Introduction These drafting conventions were developed by the ISSAI Harmonisation
More informationCapability Maturity Models Towards Improved Quality of the SDG Indicators Data
Capability Maturity Models Towards Improved Quality of the SDG Indicators Data Ignacio Marcovecchio United Nations University Institute on Computing and Society (UNU-CS) ignacio@unu.edu 1 About the paper
More informationElections Ontario IDENTIFICATION: Position Title: Election Clerk Function: Election Readiness. Location: Prescribed Electoral District
Elections Ontario POSITION DESCRIPTION IDENTIFICATION: Position Title: Election Clerk Function: Election Readiness Cluster: Wage Category: Position Code: Reports To: Returning Officer Location: Prescribed
More informationREPUBLIC OF LIBERIA. National Data Sharing & Exchange Policy And LISGIS Data Dissemination Policy
REPUBLIC OF LIBERIA Liberia Institute of Statistics and Geo-Information Services (LISGIS) National Data Sharing & Exchange Policy And LISGIS Data Dissemination Policy Released October 2011 This document
More informationANALYSIS OF THE RESULTS FROM QUALITY SELF-ASSESSMENT OF STATISTICAL INFORMATION IN THE NATIONAL STATISTICAL SYSTEM OF BULGARIA
ANALYSIS OF THE RESULTS FROM QUALITY SELF-ASSESSMENT OF STATISTICAL INFORMATION IN THE NATIONAL STATISTICAL SYSTEM OF BULGARIA April, 2010 1 CONTENTS 1. INTRODUCTION...3 2. SURVEY DESCRIPTION...3 2.1.
More informationORGANISATION FOR ECONOMIC COOPERATION AND DEVELOPMENT (OECD) STATISTICS DIRECTORATE
WP 20 29 January 2010 ENGLISH ONLY UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS EUROPEAN COMMISSION STATISTICAL OFFICE OF THE EUROPEAN UNION (EUROSTAT) ORGANISATION
More informationPrincipal Global Indicators Innovation in communication of official statistics
Distr. GENERAL WP.21 16 May 2011 ENGLISH ONLY UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE (UNECE) CONFERENCE OF EUROPEAN STATISTICIANS EUROPEAN COMMISSION STATISTICAL OFFICE OF THE EUROPEAN UNION (EUROSTAT)
More information2.4 Quality, Integrity and the European Statistics Code of Practice
2. The Quality of Statistical Information VIII Meeting on Public Statistics Models for the Development of the National Statistical Systems in Latin America and the Caribbean INEGI, Aguascalientes, 21-22
More informationFinancial Services Compliance
Financial Services Compliance Amidst frequently changing regulations, heightened risk, and a growing volume of disparate data, compliance has become complex, inefficient, and costly. Mitigating new risk
More informationWorkshop Almaty November 2017 Jan Byfuglien
Workshop Almaty 28 30 November 2017 Jan Byfuglien Introductory assumptions Non traditional data sources when used for official statistics will have to be collected and handled in line with international
More informationChapter 6. Data quality
77 Chapter 6 Data quality This chapter examines issues surrounding the quality of the OECD s international education data. It begins with a declaration of the OECD commitment to data quality and the quality
More informationStatistics Finland Guidelines on Professional Ethics
7 May 2014 TK-00-594-14 Statistics Finland Guidelines on Professional Ethics 2 CONTENTS STATISTICS FINLAND... 1 GUIDELINES ON PROFESSIONAL ETHICS... 1 1 INTRODUCTION... 4 1.1 Why an ethical code for statistical
More informationThe European Market for Organic Food
SEVENTH FRAMEWORK PROGRAMME FP7-KBBE.2011.1.4-05 Data network for better European organic market information The European Market for Organic Food Assessment of data quality Biofach 14/02/2013 2 Overview
More informationWomen and men in decision making Background document for the experts meeting
Women and men in decision making Background document for the experts meeting To monitor progress toward better balance of power between women and men, in 2003 the European Commission established a database
More informationSALESFORCE CERTIFIED DATA ARCHITECTURE AND MANAGEMENT DESIGNER
Certification Exam Guide SALESFORCE CERTIFIED DATA ARCHITECTURE AND MANAGEMENT Winter 19 2018 Salesforce.com, inc. All rights reserved. S ALESFORCE CERTIFIED DATA ARCHITECTURE AND MANAGEMENT CONTENTS About
More informationMini-presentation on Turnover/Output for Office Administrative and Support Activities (ISIC 8210) in Poland
30 th Voorburg Group Meeting Sydney, Australia September 21 st to September 25 th, 2015 Mini-presentation on Turnover/Output for Office Administrative and Support Activities (ISIC 8210) in Poland Central
More informationBusiness Case ESS.VIP.BUS.ADMIN. ESSnet "Quality of multisource statistics"
EUROSTAT Business Case ESS.VIP.BUS.ADMIN ESSnet "Quality of multisource statistics" Date: 12/02/2015 Version: [Version 8 Draft/] Revision Date Created by Short Description of Changes Version 8 12.02.2015
More informationGuidance on audit of the use and development of key national indicators
GUID 5XXX Exposure draft Guidance on audit of the use and development of key national indicators INTOSAI WORKING GROUP ON KEY NATIONAL INDICATORS (WORKING GROUP) THE SECRETARIAT OF THE WORKING GROUP ACCOUNTS
More information