ESTAT International Seminar on Modernizing Official Statistics: Meeting Productivity and New Data Challenges Tianjin, People’s Republic of China 24 - 26.

Slides:



Advertisements
Similar presentations
The Smart Specialisation Platform
Advertisements

Objectives Define collaboration as it relates to parent leadership and collaboration in a variety of settings Learn about the defining characteristics.
Big Data at Eurostat and the ESS
Safety and health at work is everyone’s concern. It’s good for you. It’s good for business. Risk assessment in SMEs: challenges and opportunities Presentation.
International Seminar on Modernizing Official Statistics:
United Nations Economic Commission for Europe Statistical Division Big Data International Cooperation Steven Vale UNECE
Modernization of Data Dissemination: the European Statistical System experience Mariana Kotzeva, Advisor Hors Classe, Eurostat Eurostat International Seminar.
UN Global Working Group on Big Data UNECE Workshop on Statistical Data Collection Washington, DC 29 April – 1 May 2015 United Nations Statistics Division.
ICT TEACHERS` COMPETENCIES FOR THE KNOWLEDGE SOCIETY
Producing migration data using household surveys Experience of the Republic of Moldova UNECE Work Session on Migration Statistics, Geneva, October.
LAUNCH OF THE INITIATIVE IN 2011 CIP - Center for Interactive Pedagogy Foundation for an Open Society Serbia Ministry of Education and Science within.
Qatar Planning Council 1 Best Statistical Information to Support Qatar’s Progress Statistical Capacity Building for Information Society in Qatar.
Session 1: Understanding the Value of Official statistics: Introduction Eurostat CES seminar, 9 th of April, 2014 Mariana Kotzeva, Adviser Hors Classe.
Situation of disabled persons living in the EU countries Wojciech Bąba European Economic Integration Chair Cracow University of Economics.
Globalisation processes in the field of statistics Discussion DGINS, Budapest, 2007 Irena Križman Director-General of the Statistical Office of the Republic.
Antidiscrimination Practices Database Art.1, Dutch knowledge centre on discrimination.
@ ?!.
Big Data Activities at Eurostat Workshop on Statistical Data Collection, 29 Apr – 1 May 2015, Washington D.C, USA
1 26 October 2013 Observation and Reflection on Official Statistics against Big Data Challenge Yuan Pengfei Research Institute of Statistical Sciences.
Population Census carried out in Armenia in 2011 as an example of the Generic Statistical Business Process Model Anahit Safyan Member of the State Council.
United Nations Economic Commission for Europe Statistical Division Part B of CMF: Metadata, Standards Concepts and Models Jana Meliskova UNECE Work Session.
The ESS.VIP Programme: a response to the challenges facing the ESS Mariana Kotzeva, ESS VIP Programme Coordinator Advisor Hors Classe ESTAT.
Eurostat’s Technical Co-operation in the SPECA Region Mariana Kotzeva, Eurostat Adviser Hors Classe 7 th SPECA Project Working Group on Statistics, Issyk-Kul,
20 May 2009 Challenges for global statistics The role of Paris 21 in global statistical programs Paris, June, 2009 Pieter Everaers, Eurostat.
Take Charge of Change MASBO Strategic Roadmap Update November 15th, 2013.
I2010 DIGITAL LOCAL AGENDA Heikki Lunnas Vice-President of ELANET (CEMR) Director Information Society Association of Finnish Local and Regional Authorities.
Introducing… the Sustainable Energy 4 All Action Accelerator! Adam Cooper Senior Manager, Accenture Sustainability Services United Nations Global Compact.
1 Eurostat’s grant policy for 2010 Luxembourg, 23/03/2010 Unit A4 – Financial Management Section 3 – Grant procedures and agreements.
United Nations Economic Commission for Europe Statistical Division UNECE Big Data Work Steven Vale UNECE
1 57th session of UNECE Working Party on Inland Transport Statistics Activities of the European Commission - Eurostat in inland transport statistics Yves.
Modernisation Evolution or Revolution World Statistics Day October 20, 2015 Budapest Pádraig Dalton Director General, CSO, Ireland 1.
ESSnet(s) Big Data I + II Item 8 of the agenda Joint DIME-ITDG Plenary Luxembourg, 24 Feb 2015.
National IS strategy in the Czech Republic Vladimír Mlynář.
United Nations Economic Commission for Europe Statistical Division International Collaboration to Modernise Official Statistics Steven Vale UNECE
Jacques Bus Head of Unit, DG INFSO-F5 “Security” European Commission FP7 launch in the New Member States Regional on-line conference 22 January 2007 Objective.
Confidential and Proprietary 1 Project Management using Scrum at Wachovia.
Eurostat Statistical challenges in collecting e-commerce data What do we know, What would we like to know, and What is difficult Carsten OLSSON Eurostat.
How to measure the impact of R&D on SD ? Laurence Esterle, MD, PhD Cermes and Ifris France Cyprus, 16 – 17 October L. ESTERLE Linking science and.
Big Data activities at SURS Statistical Office of the Republic of Slovenia DIME/ITDG meeting, February 2016.
Slovene National statistical system Irena Krizman Former Director-General Statistics Slovenia.
19-20 October 2010 IT Directors’ Group meeting 1 Item 6 of the agenda ISA programme Pascal JACQUES Unit B2 - Methodology/Research Local Informatics Security.
Modernizing Official Statistics 1. PURPOSE OF OFFICIAL STATISTICS The purpose of official statistics is to produce and disseminate authoritative results.
Hanne Smidt, Senior Advisor European University Association.
WGCapD, CEOS and the UN Sustainable Development Goals (SDGs) Committee on Earth Observation Satellites Deputy CEOS Executive Officer / CSA Marie-Josée.
An ESS strategy towards better integration of statistics and geography
Armenia Twinning 2011 Component F – Information Society, 2 – 6 May DEVELOPMENT OF INFORMATION SOCIETY STATISTICS IN LITHUANIA Statistics.
Priorities and coordination of capacity building in Azerbaijan
Implementation of the Sustainable Development Goals (SDG) in the Republic of Uzbekistan Geneva, April 12, 2017.
Implementing the ESS Vision 2020
Eurostat's open data and experimental statistics
Cooperation on Dissemination within the ESS
Methodology and Corporate Architecture
Management Group on Statistical Cooperation
New ways to get the data Multiple mode and big data
The ESS VIP programme: a response to the challenges facing the ESS
ESS Cooperation: New Financial supporting frameworks?
Information Society Statistics
Exchange and Sharing of Economic Data
ESS Vision 2020.
A Z E R B A I J A N How to work together at the regional level – projects, forums and capacity building programs for innovative progress in ICT and Transport.
International Conference on Real Estate Statistics
Resource Directors Group Introduction
Meeting Of The European Directors of Social Statistics
Task Force Household Budget Survey Innovative tools and sources
Ðì SA Effective Monitoring and Evaluation of Progress on the SDGs Monitoring SDGs : the perspective of Armstat Learning Conference: Implementing.
ESS Vision 2020.
Item 2.2 of the agenda IT Working Group meeting 2016
Presentation of Project Joint meeting of the ESS.VIP.BUS ICT Project
Project objectives and benefits
Collaborative regulation in the digital economy
Presentation transcript:

ESTAT International Seminar on Modernizing Official Statistics: Meeting Productivity and New Data Challenges Tianjin, People’s Republic of China October 2013 Meeting Challenges of Unstructured Data: European Statistical System experience Mariana Kotzeva, Advisor Hors Classe, Eurostat Eurostat

This presentation: describes the current state and next steps with regard to big data in the European statistical system; Outlines 3 concrete projects related to big data launched by Eurostat in 2013; Outlines challenges ahead putting a focus on the issues that represent unique opportunity for co-operation at supranational and global level. ESTATEurostat Mariana Kotzeva, Eurostat

Unstructured data – what does it mean? Data that are not arranged in columns and rows, not properly titled or identified; Data for which it is necessary to apply tools to categorise, tag, pool, identify key elements and make correlations in order to gain insight from them; Content Unstructured data: refers to s, documents and other objects that are made up of free-following text; ESTATEurostat Mariana Kotzeva, Eurostat

ESTAT Big data? Volume Velocity Variety Eurostat Mariana Kotzeva, Eurostat

Is unstructured data the same as big data? Unstructured data is just one piece of the puzzle; Unstructured data is responsible for the Variety characteristic of the big data; Making sense of unstructured data isn’t about technology, it is a business intelligence; To transfer into actionable intelligence is the value added that unstructured data bring to big data. ESTATEurostat Mariana Kotzeva, Eurostat

ESTATEurostat Mariana Kotzeva, Eurostat Big data is high on the agenda of the European Statistical System: Eurostat participates in the UNECE initiatives under the High Level Group on Modernisation of Official Statistics; Memorandum on Big Data and Official statistics of the ESS, adopted at 99 th DGINs conference in September 2013; Eurostat created an internal structure that will deal only with big data since 1 st of Jan 2014; A Task Force on big data involving Member states is in process of establishment for developing an ESS action plan and roadmap on big data;

ESTATEurostat Mariana Kotzeva, Eurostat European projects on big data launched in 2013 Internet as a data Source for Information Society statistics; Use of mobile positioning data for tourism statistics; Collecting prices via the Internet for price statistics;

Internet as a data source for Information Society statistics Current situation in Information society statistics: Based on two traditional surveys - on households and on enterprises; Purpose of the feasibility study: Which items could be collected over the Internet? Results: Items such as e-skills, e-commerce, use of e-government, use of internet is feasible to be measured over Internet; Items measuring subjective opinions and “offline” items CANNOT be measured using digital footprints; For enterprises, part of the ICT indictors would be available on the enterprise’ websites but some of them will be available only via the servers of the enterprises; Survey suggests a number of new indicators that can be derived form Internet ESTATEurostat Mariana Kotzeva, Eurostat

Use of mobile positioning data for tourism statistics Active mobile positioning; Passive mobile positioning. ESTATEurostat Mariana Kotzeva, Eurostat

Issues identified so far: Reluctance of data providers to give access to data; Privacy concerns; Technological barriers; Diversity in data protection legislation; Diversity in the data sources that introduces even higher complexity in programming generic software tools; Methodological and quality issues- i.e comparability versus relevance. ESTATEurostat Mariana Kotzeva, Eurostat

The way forward: Official statistics community – now on the move! Collaboration: Big Data goes beyond statistics authorities  national/”government” strategies needed Public-Private Partnerships (could help build-up) Multidisciplinary teams – including legal expertise Action: Demystify “data science” and build up skills Applications-driven approach and learning by doing. ESTATEurostat Mariana Kotzeva, Eurostat

Thank you for your attention!   ESTATEurostat