Dissemination and communication as an integral part of European statistics Seminar on emerging...

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Dissemination and communication as an integral part of European statistics Seminar on emerging trends in data communication and statistics, New York 19.02.2010 Walter Radermacher / Pieter Everaers , Eurostat

Transcript of Dissemination and communication as an integral part of European statistics Seminar on emerging...

Page 1: Dissemination and communication as an integral part of European statistics Seminar on emerging trends in data communication and statistics, New York 19.02.2010.

Dissemination and communication as an integral part of European statisticsSeminar on emerging trends in data communication and statistics, New York 19.02.2010

Walter Radermacher / Pieter Everaers, Eurostat

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Walter Radermacher 2

Robert M. Pirsig:Zen and the art of motorcycle maintenance

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Walter Radermacher

The art of maintaining quality in statistics

Actuality

Comparability

Response burden

Accuracy

Efficiency

Relevance

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Statistics and the German State, 1900–1945: the making of modern economic knowledge, Tooze, J.A., Cambridge, 2001

The Politics of Large Numbers – A History of Statistical Reasoning, Desrosières, A., Cambridge, Mass./ London 1998

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Where are we coming from – Where are we going?

„Statistics“ is the empirical branch of the science of state (German: Statistik –> Staatswissenschaften)

Official statistics (political/administrative position, working methods) reflect the development of societies in particular the specific relationship between state and citizens

Some factors create different political settings: Constitution (democratic, authoritative) Institutional set-up of economy (market, planification) Society (closed/national, globalised) Main sectors of economic production Dynamics of structural change (slow, fast)

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Statistics in a pre-democratic society

State = authority = single constituent = single user Information needs defined by request of king or

alternative authority First Statistical „Authorities“ as institutions Slow change processes (industrialisation) Development of work system with a small scientific

loading Production in special processes; survey (obligatory

response) based on authority of statistical institution Dissemination dominated by the user „State“, general

publications as by-product

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Statistics in a democracy / global info society

State is one user as all others (“citizens first”) Information needs defined in a dynamic and complex

interaction (open platforms etc.) Statistical “Services” Rapid change processes, horizontal issues, cross-national

phenomena Development of work system with a very high scientific

loading Production in integrated processes; surveys limited to areas

without existing data Dissemination = Communication = public good “Statistics”

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Statistic users and producers: Interactions

Users of statistics Producers of statistics

information need

use

knowledge

statistical information

statisticaldata + metadata

worksystem

conducting ofprocesses,provision ofproducts and services

discussion / definition• perception patterns• programmes• products

communication

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Information needs:

StatisticsPublic

Opinion

Science

Politics

Institutional setup

How are they defined?

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Reengineering of statistical production

1:1 Stovepipes Multiple Source / Multiple Purpose

Survey Table

Survey Table

Survey Table

Survey Table

Survey

Survey

Register

Register

Survey

Data Ware-houses

Macrodata

Access

Microdata

Mesodata

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Assertions:

1. We are not user-oriented

2. We have failed to take advantage of statistics as spatial information

3. Other people may be better than us at delivering data to users

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We see.....

News releases

Dedicated sections

Statistics in Focus

Data in Focus

RAMON

CODEDYearbooks

PocketbooksLeaflets Data publications

Methodological publicationsESMS metadata

Statistics Explained

1: user orientation

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The user wants....

Data

Metadata Explanations

Analysis Explanations

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How can we re-think our products from the user perspective?

hire non-statisticians to manage dissemination talk to users watch users talk to the user helpdesks make life easy for all users

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Example: Statistics Explained

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2: statistics as spatial information

Our world

The physical

world

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How can we bring spatial information into our products?

if an NSI holds geo-coded data, use them in dissemination and make them re-useable

Encourage and reward creative use of spatial information within your organisation

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Example

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3: reusability

Opening up the data files =– users find new ways to visualise data– users find new ways to combine data– users find new ways to analyse data

Works for– spatial data– Microdata– all statistical data….

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“Cooked” “Raw”

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What can we do?

Simple: a collection of files on an accessible server

Advanced: use SDMX Make sure users can find easily documents

to explain what is in the data and how to access them

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Why is SDMX important here?

common data model for many kinds of statistics

unified system for data and metadata rich set of re-useable software for

processing and visualising data

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Example of shareable SDMX-based visualisation tool – the ECB inflation dashboard

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User orientation Spatial data Reuseability

3 assertions – 1 common thread

Dissemination = opening up the value inherent in our data

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Thank you for your attention!

[email protected]

http://ec.europa.eu/eurostat