Topic (ii): Global Solutions to Editing

Slides:



Advertisements
Similar presentations
Quality Challenges in Modernising Official Business Statistics Ger Snijkers (Statistics Netherlands) Gustav Haraldsen (Statistics Norway) Martin Luppes.
Advertisements

SC2 meeting 24 November 2014 Security Measures and Resources Toolbox
United Nations Economic Commission for Europe Statistical Division High-Level Group Achievements and Plans Steven Vale UNECE
Mogens Grosen Nielsen Statistics Denmark
United Nations Economic Commission for Europe Statistical Division Modernisation Maturity Model Steven Vale UNECE
1 Business Exchange Structures Concepts.
United Nations Economic Commission for Europe Statistical Division Standards-based Modernisation An update on the work of the High-level Group for the.
CORE: a concrete implementation of the CSPA architecture Marco Silipo ISTAT (Italian National Statistical Institute) Joint work with: Rolando Duma, Mauro.
 Methods of abortion  Statistics  Possible solutions.
From Strategy to Practice
TOWARDS INTEROPERABLE STATISTICAL BUSINESS REGISTERS Harrie van der Ven Project manager ESSnet EGR January 2014 Valencia.
Bernadett Szekeres Quality management, Methodology Department, HCSO
Generic Statistical Information Model (GSIM) Thérèse Lalor and Steven Vale United Nations Economic Commission for Europe (UNECE)
Introduction and key issues identified in the papers UNECE Conference of European Statisticians June 2015 Second Seminar, Session I.
The Approach and ideas of the HLG-BAS: Modernizing Official Statistics.
IBM Software Group IBM Software Group Rational software ®® SCMA45 Building a Distributed Release Process Using IBM Rational ClearCase, IBM Rational ClearDDTS.
Irwin/McGraw-Hill Copyright © 2000 The McGraw-Hill Companies. All Rights reserved Whitten Bentley DittmanSYSTEMS ANALYSIS AND DESIGN METHODS5th Edition.
11 CORE Architecture Mauro Bruno, Monica Scannapieco, Carlo Vaccari, Giulia Vaste Antonino Virgillito, Diego Zardetto (Istat)
United Nations Economic Commission for Europe Statistical Division Mapping Data Production Processes to the GSBPM Steven Vale UNECE
Quality Assessment and Improvement Methods in Statistics – What works? Hans Viggo Sæbø, Statistics Norway Quality frameworks Tools.
1 1 (Statistical Network) Opportunity: Industrialization of Editing Li-Chun Zhang Statistics Norway
11 CORE Architecture Mauro Bruno, Monica Scannapieco, Carlo Vaccari, Giulia Vaste Antonino Virgillito, Diego Zardetto (Istat)
Modernization Working Group Asia-Pacific country assessment of modernization preparedness To develop a modernization advocacy strategy.
Modernisation Activities DIME-ITDG – February 2015 Item 7.
1 1 International Collaboration on Industrialization of Editing: Business Case (Part 1, WP38) Li-Chun Zhang Statistics Norway.
Generic Statistical Data Editing Models (GSDEMs) Workshop on the Modernisation of Official Statistics The Hague, 24 November 2015.
United Nations Economic Commission for Europe Statistical Division Standards-based Modernization of Official Statistics Steven Vale UNECE
Testing and Evaluating Software Solutions Introduction.
Describe a layered S-DWH Technology Architecture Information Systems Architecture Business Architecture.
The business process models and quality issues at the Hungarian Central Statistical Office (HCSO) Mr. Csaba Ábry, HCSO, Methodological Department Geneva,
Sarah Vann-Sander # IHST8801 – Orientation to Integrated Human Studies University of Western Australia.
Reference metadata: a step towards greater accessibility and clarity of statistical data European conference on quality in official statistics 2-5 June.
United Nations Economic Commission for Europe Statistical Division GSBPM and Other Standards Steven Vale UNECE
Statistical Modernisation Community Padraig Dalton 8 March
Updating Statistical maps with GPS. Global Positioning System Space segment Control segment Users Segment.
Statistical process model Workshop in Ukraine October 2015 Karin Blix Quality coordinator
United Nations Economic Commission for Europe Statistical Division GSBPM in Documentation, Metadata and Quality Management Steven Vale UNECE
United Nations Economic Commission for Europe Statistical Division Standards-based Modernisation Steven Vale UNECE
Adopting CSPA and CORE in Istat: the role of Enterprise Architecture Mauro Bruno, Monica Scannapieco, Marco Silipo Istituto Nazionale di Statistica - Istat.
Li-Chun Zhang Statistics Norway
Modernisation Story of Statistics Slovenia
Generic Statistical Data Editing Models (GSDEMs)
Towards connecting geospatial information and statistical standards in statistical production: two cases from Statistics Finland Workshop on Integrating.
Global Statistical Geospatial Framework – interoperability challenges
HLG-MOS Moving to the Next Level
Hire Toyota Innova in Delhi for Outstation Tour
BACK SOLUTION:
IT Directors Meeting November 2012
معلم الصف الثالث الابتدائي
Standard-based Business Architecture
GSIM The Generic Statistical Information Model
Metadata in the modernization of statistical production at Statistics Canada Carmen Greenough June 2, 2014.
A handbook on validation methodology Marco Di Zio Istat
Ola Nordbeck Statistics Norway
The Generic Statistical Information Model
ФОНД “СОЦИАЛНО ПОДПОМАГАНЕ”
EDLC(Embedded system Development Life Cycle ).
CORA ESSNet COmmon Reference Architecture starting ...
GSBPM and Data Life Cycle
Partner Implications from Seminar: New Approaches to Capacity Development Break-out Group: Role of Assessment frameworks.
Mapping Data Production Processes to the GSBPM
ESS.VIP Validation Item 5.1
Dissemination of data and metadata…
GSBPM AND ISO AS QUALITY MANAGEMENT SYSTEM TOOLS: AZERBAIJAN EXPERIENCE Yusif Yusifov, Deputy Chairman of the State Statistical Committee of the Republic.
Business architecture
Types of Errors And Error Analysis.
Introducing the Data Documentation Initiative
ESS conceptual standards for quality reporting
High-Level Group for the Modernisation of Official Statistics
Presentation transcript:

Topic (ii): Global Solutions to Editing Li-Chun Zhang University of Southampton / Statistics Norway E-mail: L.Zhang@soton.ac.uk / lcz@ssb.no

“Grand Unification” Production Solution GSBPM GSIM Technology Methodology

“Portability” System Tool Method Concept

“Life-cycles” Source/Consumer Statistics Data Source-specific Integrated/Coherent Statistical

Discussion Are we getting anywhere together? What is the mandate / purpose(s) of Official Statistics? Who are the users: external / internal? What about the ‘new’ paradigm of editing? Error prevention Quality assessment / report Amending / cleaning Or integration of processes? Is GSIM making sense / do we have all the corner-stones? Do we see a road-map for standardization?