Workshop on Quality of Statistics for SDG Indicators
In person
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13 to 15 May 2019
Chiba , Japan
Overview
The workshop provided an opportunity to participants to learn basic concepts and frameworks for the quality of statistics through hands-on sessions, with the overall aim of enhancing the capacity to produce a set of statistics including indicators, to track and monitor Sustainable Development Goals (SDGs).
Objectives
The workshop provided an opportunity to participants to learn basic concepts and frameworks for the quality of statistics through hands-on sessions, with the overall aim of enhancing the capacity to produce a set of statistics including indicators, to track and monitor Sustainable Development Goals (SDGs).
| Topics of Workshop | |
|---|---|
Concept note | |
Session 1: Global Quality Framework for Sustainable Development Goal Indicators | |
| Global_Quality_Framework_for_SDGs Part 1 | |
| Global_Quality_Framework_for_SDGs Part 2 | |
Session 2: Quality and Generic Statistical Business Process Model (GSBPM) | |
| Generic Statistical Business Process Model (GSBPM) | |
| Quality Indicators in the GSPBM | |
| Generic Statistical Business Process Model - GSBPM (Version 5.1) | |
| Quality Indicators for the Generic Statistical Business Process Model (GSBPM) - For Statistics derived from Surveys and Administrative Data Sources | |
Session 3: UN NQAF Manual | |
| UN NQAF Manual Introduction – Part 1 | |
| UN NQAF Manual Introduction – Part 2 | |
| United Nations National Quality Assurance Frameworks Manual for Official Statistics (UN NQAF MANUAL) -1 | |
| United Nations National Quality Assurance Frameworks Manual for Official Statistics (UN NQAF MANUAL) -2 | |
Session 4: IMF Data Quality Assessment Framework and it’s links with the Data Standard Initiatives | |
| Overview of the Enhanced General Data Dissemination System (e‐GDDS) | |
| The IMF Data Quality Assessment Framework (DQAF) and its Application | |
| Sustainable Development Goals: IMF Data contributions (GFS and FAS) | |
Session 5: An Example: Quality Assurance of Statistics of Japan | |
| An Example: Quality Assurance of Statistics of Japan | |
Session 6: Practical Training | |
| Data Quality Assessment Frameowrk —Generis Framework | |
| Assessment of compliance with the United Nations National Quality Assurance Framework (2019) | |
| 2016 ROSC Ratings—B1 | doc |
| Case study B1 | doc |
| Case study B2 | doc |
| Case study B3 | doc |
| Erehwon 3 Digit Table | doc |