Amt für Statistik Berlin-Brandenburg Dr. Peter LohaußState Statistical Institute Berlin-Brandenburg Q 2010 Helsinki 5. May 2010 Managing Processes in Data.

Slides:



Advertisements
Similar presentations
National Seminar on Developing a Program for the Implementation of the 2008 SNA and Supporting Statistics in Turkey Uğuzhan TÜRKOĞLU 10 September 2013.
Advertisements

Implementation of the CoP in SLOVENIA Cooperation with data users Genovefa RUŽIĆ Deputy Director-General.
QM Implementation Based on CoP, PDCA, and GSBPM
Quality Guidelines for statistical processes using administrative data European Conference on Quality in Official Statistics Q2014 Giovanna Brancato, Francesco.
TURKISH STATISTICAL INSTITUTE Metadata and Standards Department 1 Nezihat KERET Gülhan Eminkahyagil Metadata and Standards Department Turkish Statistical.
Establishment of KSBPM
Principles of Analysis and Dissemination Country Course on Analysis and Dissemination of Population and Housing Census Data with Gender Concern October.
CAPMAS Arab Republic of Egypt Central Agency for Public Mobilization and Statistics Presented by : Salwa Elsayed Selim Elshazly Director of establishments.
Producing and managing metadata Workshop on Writing Metadata for Development Indicators Lusaka, Zambia 30 July – 1 August 2012 Writing Metadata for Development.
United Nations Economic Commission for Europe Statistical Division Applying the GSBPM to Business Register Management Steven Vale UNECE
The use and convergence of quality assurance frameworks for international and supranational organisations compiling statistics The European Conference.
The Importance of User Relations for a Modern National Statistical Agency Presentation given by Petteri Baer at the Seminar on Dissemination NBS Moldova,
Distributed Access to Data Resources: Metadata Experiences from the NESSTAR Project Simon Musgrave Data Archive, University of Essex.
European Conference on Quality in Official Statistics (Q2010) 4-6 May 2010, Helsinki, Finland Brancato G., Carbini R., Murgia M., Simeoni G. Istat, Italian.
Quality assurance activities at EUROSTAT CCSA Conference Helsinki, 6-7 May 2010 Martina Hahn, Eurostat.
The Adoption of METIS GSBPM in Statistics Denmark.
United Nations Economic Commission for Europe Statistical Division Introducing the GSBPM Steven Vale UNECE
Eurostat Overall design. Presented by Eva Elvers Statistics Sweden.
© Federal Statistical Office of Germany | Q2014, Vienna, 3-5 June 2014 Evaluation in public finance statistics Results of a survey among expert users.
GLOBAL ASSESSMENT OF STATISTICAL SYSTEM OF KAZAKHSTAN ZHASLAN OMAROV DEPUTY CHAIRMAN, STATISTICS AGENCY OF REPUBLIC OF KAZAKHSTAN. 4.3.
Multi-source tools for assessing the users’ needs & perception on statistical quality. The Spanish experience. European Conference on Quality in Official.
1 MODERNIZATION OF BELARUSIAN STATISTICS _________________________________________________ IMPLEMENTATION OF THE PROCESS APPROACH IN ORGANIZING THE STATISTICAL.
Current and Future Applications of the Generic Statistical Business Process Model at Statistics Canada Laurie Reedman and Claude Julien May 5, 2010.
Data dissemination – UK experiences Iain MacLeay, Head of Energy Balances, Prices and Publications Department of Energy and Climate Change United Kingdom.
Innovations in Data Dissemination Thomas L. Mesenbourg, Jr. Acting Director U.S. Census Bureau United Nations Seminar on Innovations in Official Statistics.
Statistical Metadata System in the State Statistical Committee Baku, Azerbaijan, 2013 State Statistical Committee of the Republic of Azerbaijan 1.
Changes in Communications: Experience of the National Statistics Office of Georgia Work Session on the Communication of Statistics May 2013 Berlin,
United Nations Economic Commission for Europe Statistical Division Mapping Data Production Processes to the GSBPM Steven Vale UNECE
United Nations Economic Commission for Europe Statistical Division The Importance of Databases in the Dissemination Process Steven Vale, UNECE.
United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis for Arabic Speaking Countries, Amman, Jordan May 2011 Identification.
Building Data and Document-Driven Decision Support Systems How do managers access and use large databases of historical and external facts?
2 Specify needsDesignBuild CollectProcessAnalyse DisseminateArchiveEvaluate.
United Nations Economic Commission for Europe Statistical Division High-Level Group Achievements and Plans Steven Vale UNECE
Copyright 2010, The World Bank Group. All Rights Reserved. Principles, criteria and methods Part 2 Quality management Produced in Collaboration between.
Implementation of the European Statistics Code of Practice Yalta September 2009 Pieter Everaers, Eurostat.
Pilot Census in Poland Some Quality Aspects Geneva, 7-9 July 2010 Janusz Dygaszewicz Central Statistical Office POLAND.
ILO Department of Statistics Edgardo Greising
Developing and applying business process models in practice Statistics Norway Jenny Linnerud and Anne Gro Hustoft.
Regional Seminar on Promotion and Utilization of Census Results and on the Revision on the United Nations Principles and Recommendations for Population.
© Statistisches Bundesamt, I/A Case study Federal Statistical Office Germany (Destatis) Joint UNECE/ EUROSTAT/ OECD Work Session on Statistical Metadata.
United Nations Oslo City Group on Energy Statistics OG7, Helsinki, Finland October 2012 ESCM Chapter 8: Data Quality and Meta Data 1.
United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis for Arabic Speaking Countries, Amman, Jordan May 2011 Identification.
5.8 Finalise data files 5.6 Calculate weights Price index for legal services Quality Management / Metadata Management Specify Needs Design Build CollectProcessAnalyse.
Copyright 2010, The World Bank Group. All Rights Reserved. Principles, criteria and methods Part 1 Quality management Produced in Collaboration between.
PRODUCER-USER RELATIONS AT SORS: FIRST RELEASE CASE Metka Zaletel Statistical Office of the Republic of Slovenia.
ESSnet project "Automated data collection and reporting in accommodation statistics" Objectives, achievements and results Köln,
Introduction to Quality Management Frameworks Eurostat, Luxembourg, January 2016 Process quality Dr Johanna Laiho-Kauranne.
How official statistics is produced Alan Vask
1 European Statistics Code of Practice. I.Institutional Environment Principle II.Statistical processes Principle III.Statistical Output Principle.
Estonian experience in implementation and maintenance of statistical database using PX-Web Eda Fros Statistics Estonia UNECE Workshop on Developing Data.
Developments in dissemination over the time Anne Nuka Head of Marketing and Dissemination Division
1 Recent developments in quality related matters in the ESS High level seminar for Eastern Europe, Caucasus and Central Asia countries Claudia Junker,
Policy/ strategy Formal requirements.  Requirements / expectations from Eurostat to us as NSI’s  Code of Practise  Quality Assurance Framework  PSI.
Introduction to Statistics Estonia Study visit of the State Statistical Service of Ukraine on Dissemination of Statistical Information and related themes.
Official Statistics User Engagement - The International Perspective
Quality assurance in official statistics
Documentation of statistics
European Conference on Quality in Official Statistics
Overview of the ESS quality framework and context
Dissemination guidelines at INE
BETTER AND PROPER ACCESS TO PACIFIC MICRODATA
SDMX in the S-DWH Layered Architecture
Who are the users and what they want
The European Statistics Code of Practice - a Basis for Eurostat’s Quality Assurance Framework Marie Bohatá Deputy Director General, Eurostat ... Strategic.
Information. Knowledge. Decision
Mapping Data Production Processes to the GSBPM
Metadata used throughout statistics production
Metadata on quality of statistical information
Overview of the ESS quality framework and context
Lecture 1: Definition of quality in statistics
Presentation transcript:

Amt für Statistik Berlin-Brandenburg Dr. Peter LohaußState Statistical Institute Berlin-Brandenburg Q 2010 Helsinki 5. May 2010 Managing Processes in Data Dissemination

Amt für Statistik Berlin-Brandenburg 1 Quality principles Relevance: European Statistics must meet the needs of users. Timeliness and punctuality: European statistics must be disseminates in an timely and punctual manner. Accessibility and clarity: European statistics should be presented in a clear and understandable form, disseminated in a suitable and convenient manner, available and accessible on an impartial basis with supporting metadata and guidance.

Amt für Statistik Berlin-Brandenburg 2 Types of users

Amt für Statistik Berlin-Brandenburg 3 Internet as dissemination platform Public: Basic online tables, charts, maps, publication download Experts/Knowledge worker: online access to databases or data cubes for extensive analyses and download Researchers: online microdata access with automatic disclosure control to be developed User satisfaction surveys: easier internet access, more small area data

Amt für Statistik Berlin-Brandenburg 4. Statistical Information: Product or Service? ProducerUser

Amt für Statistik Berlin-Brandenburg 2.1 Design outputs 5. The Generic Statistical Business Process Model dissemination sub-processes 1 Specify 2 Design 3 Build 4 Collect 5 Process 6 Analyse 7 Disseminate 8 Archive 9 Evaluate 3.3. Configure workflows 1.1. Determine needs for information 1.2 Consult and confirm needs 1.3 Establish output objectives 2.5 Design workflow 3.6 Finalize production systems 5.8 Finalize outputs 7.3 Release 7.2 Produce products 7.1 Update output system 7.4 Promote 7.5 Manage User Support 6.5 Finalize output 6.4.Disclosure control 6.1Prepare draft output

Amt für Statistik Berlin-Brandenburg Publication Custom made tables 6 Conventional users and dissemination Experts/Knowledge Workers Government analysts, researchers business institutes, Product Custom made selection and analyses Public General public, journalists, libraries, business, students Product Basis tables, statistical reports, yearbooks

Amt für Statistik Berlin-Brandenburg 6.1 Dissemination up to now 5 Process6 Analyse7 Disseminate 5.8 Finalize outputs 7.3 Release 7.2 Produce products 7.1 Update output system 7.4 Promote 7.5 Manage user support 6.5 Finalize output 6.4.Disclosure control 6.1Prepare draft output Experts: tailored tables Public: Publications

Amt für Statistik Berlin-Brandenburg Reports, Evaluation Microdata access 7 Additional new types of users and dissemination Researcher Research projects, Universities and scientific institutes, students, government agencies Service Professional use of microdata for research and analyses, use of statistic software and models Experts/Knowledge Workers Government analysts, planner, Institutes, associations Service regularly updated large datasets to support decision making, reports and analyses, database access

Amt für Statistik Berlin-Brandenburg 7.1 New processes of dissemination 5 Process6 Analyse7 Disseminate 5.8 Finalize outputs 7.3 Release 7.2 Produce products 7.1 Update output system 7.4 Promote 7.5 Manage user support 6.5 Finalize output 6.4.Disclosure control 6.1Prepare draft output Researchers: Access to microdata Public: Online tables Publications Experts: Reports online tables

Amt für Statistik Berlin-Brandenburg 7.2 Statistical Information Service for experts/knowledge workers Microdatabase Automatic disclosure control of microdata Or data cubes Selection of databases/data cubes and variables Web-Interface Effective online retrieval Availability of small area statistics Display of Metadata Download in common formats Charts / maps for visualising

Amt für Statistik Berlin-Brandenburg 8 Case study: Coordinated Data Pool Berlin 5.8 Finalize data files 7.1 Update output system 6.4 Apply disclosure control 5.5 Derive new variables and statistical units Update Geographical Information System Determine output Subject Matter UnitRegional Statistics unitLocal Authorities State/Community Planers Use output

Amt für Statistik Berlin-Brandenburg Expert Knowledge Base: Superstar