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

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Presentation on theme: "Amt für Statistik Berlin-Brandenburg Dr. Peter LohaußState Statistical Institute Berlin-Brandenburg Q 2010 Helsinki 5. May 2010 Managing Processes in Data."— Presentation transcript:

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

2 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.

3 Amt für Statistik Berlin-Brandenburg 2 Types of users

4 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

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

6 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

7 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

8 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

9 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

10 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

11 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

12 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

13 Amt für Statistik Berlin-Brandenburg Expert Knowledge Base: Superstar


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