Methodology and Corporate Architecture

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Presentation transcript:

Methodology and Corporate Architecture The European Statistical Training Programme (ESTP) European Statistical week, a study visit to Eurostat Roberto Barcellan – Unit B1

Outline Methodology and Corporate Architecture Methodology and Research Confidentiality and microdata access Modernisation of the European Statistical System Information models and standards Enterprise Architecture

Methodology and corporate architecture Modernisation of the European Statistical System Methodology and Research Confidentiality and microdata access Information models and standards Enterprise Architecture

Methodology and Research & RESEARCH

Methodology and Research Support the production of official statistics Create links with the scientific community To provide data To get input for innovation and improvement Create a network of methodologists among official statisticians Find common methodological solutions to common problems Facilitate research opportunities

Research – What? Foster research in official statistics Liaise with the scientific community Organise events on research in official statistics Link research in statistics with the research programmes of the European Commisison Global network

Research – How? NTTS New Techniques and Technologies for Statistics Conferences NTTS New Techniques and Technologies for Statistics Collaborative site Networking Journal

Methodology – What? Support to Eurostat projects Support to European Commission Training Events Helpdesk

Collaborative mechanisms: ESSnets and Centres of Excellence Methodology – How? Collaborative mechanisms: ESSnets and Centres of Excellence Collaborative site Seasonal Adjustment Training ESTP Networking

Confidentiality and microdata access

Challenges in a modern society Digital society New increasing requirements Globalisation Free access vs. personal data protection Integrated information systems Rapid changes in the environment Riding the big data wave Increasing cost & difficulty of acquiring data Increasing use of internet and mobile technologies Role of Legislation

Same treatment in data protection? Data – clusters Enterprises Persons Products Geo references Single identifiers? Same treatment in data protection?

Statistics and confidentiality Indicators Accounts Business – Social – Environmental/ agricultural statistics Confidentiality issues

Find the right compromise Full data protection vs. Full data acquisition The free access to Information with at the same time protection of personal data of individuals will become the central task of the information society of the 21st century

Existing legal framework Regulation (EC) No 223/2009 on European statistics Ensures: the protection of individuals as regards the processing of personal data Directive 95/46/EC Regulation (EC) No 45/2001 the protection of statistical confidential information

Personal data protection Regulation 45/2001 Security - COM (2006) 3602 on security of information Systems used by EC Personal data protection Regulation 45/2001 Statistical data protection - Regulation (223/2009) Data on natural persons – and households Data on businesses Sensitive data – e.g. data under embargo, "politically" confidential information

New Challenges for official European Statistics Legal framework on the protection of personal data Legal framework on the protection of confidential statistical data Lift legal access restrictions to the freely available Internet Data sources

Access to confidential data in Eurostat For statistical purposes: Eurostat staff Contractors (only in secure rooms in Eurostat) For scientific purposes (microdata access): Researchers affiliated with recognized research entities Access on site (Eurostat safe centre) Access off-site (data sent on CDs)

Modernisation of the ESS

Towards modernisation Legal framework Methodology Infrastructure How Flagship projects Top-down architecture for development Bottom-up components Strategic plans in business domains

Strategic aims – ESS Vision 2020

Objectives – ESS Vision 2020

Portfolio of actions Selection and prioritisation criteria Strategic alignment and relevance Potential contribution to building infrastructure and services that could be used across several statistical domains Effective use of integrated data sources, including new data sources Statistical products enhancement Implementation through a portfolio of Projects Programs Other actions to enable the accomplishment of the Vision goals

Information Models and Standards

Standards-based modernisation CSPA GSBPM Generic Statistical Business Process Model Data Documentation Initiative Generic Statistical Information Model

= Business Layer Information Layer Implementation Layer Layers of Architecture = Business Layer Information Layer Implementation Layer

But also … Sponsorship on Standardisation Process to define a standard Guidelines Standardisation cycle

Enterprise Architecture

What is Enterprise Architecture? Enterprise Architecture is a systematic language to describe the way our business wants to operate and how the various components fit together. It serves to translate our vision into implementation strategies and priorities in a systematic way. It is based on Principles of standardisation and interoperability, reuse, Business Function-independent standard processes, metadata driven business chains and service-oriented data-based outputs of statistical processes

EA layers

EA stakeholders

EA roles

Who does what in ESS EA

Thank you for your attention!

Useful links CROS portal: http://www.cros-portal.eu/ ESS Vision 2020: http://epp.eurostat.ec.europa.eu/portal/page/portal/pgp_ess/0_DOCS/estat/ESS_Vision_2020.pdf High-Level Group for the Modernisation of Statistical Production and Services: http://www1.unece.org/stat/platform/display/hlgbas/High-Level+Group+for+the+Modernisation+of+Statistical+Production+and+Services Confidentiality: http://epp.eurostat.ec.europa.eu/portal/page/portal/research_methodology/statistical_confidentiality Research in Eurostat: http://epp.eurostat.ec.europa.eu/portal/page/portal/research_methodology/research Methodology in Eurostat: