Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: This Course aims at: * defining the reference framework of data generated by smart devices, technologies, networks and their relations with official statistics, also comparing NSIs’ different situations (different level of integration, etc.); * introducing the main concepts, frameworks and artefacts to carry out Enterprise Architecture for official statistics; * focussing on the Business Architecture Model/Activity model within NSIs, orientating it to ongoing modernisation changes and related mainly to innovative data sources, Big Data, new data; * explaining how to apply and map GAMSO to new business models for official statistics, innovative sources and Big Data; * explaining how to map GSBPM to the statistical processes related to innovative data sources; * providing an overview of the main statistical and technical guidelines, best practices, and standards as pre-requisites for the implementation of EA and BREAL; * focussing on the context of Big data REference Architecture and Layers – BREAL; * providing theoretical training to develop BREAL; * promoting group discussions on topics such as setting up a capability assessment and roadmaps for acquiring and benefiting from ESS shared investments.
Target Audience: Business architects; IT managers responsible for the design of new processes and innovative IT systems; Statistical survey managers; Statisticians and Technicians involved in statistical production processes.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objectives of the course are: * Illustrate “standardisation” activities within the European Statistical System and, more in general, within the statistical community. * Explain how to define a standardization strategy to improve the statistical business processes * Focus on the main conceptual, logical and technical statistical standards detailed in the ESS Enterprise Architecture Reference Framework (GSBPM, GSIM, SDMX, DDI) * Introduce open data (DCAT) and spatial (INSPIRE) standards * Highlight the relationships between conceptual and implementation standards * Experiment with tools in implementing a standards-based metadata-driven architecture for more efficient processes related to metadata management, data dissemination and data reporting
Target Audience: Subject-matter experts (domains, dissemination and metadata management staff) without specialist IT knowledge
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: To provide participants with theory and practice of quality in Official Statistics, in particular process and product quality. To this purpose, a brief overview of the ESS quality framework is given. Then, the focus of the course shifts on process and product quality measurement. The statistical process is described and tools for preventing and reducing the errors are presented and discussed. Methods and tools to assess the effect of non-sampling errors such as coverage, measurement and nonresponse errors in statistical products are widely described.
Target Audience: Staff of national statistical institutes involved in statistical production processes and in quality management.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The course will enhance participants' methodological and technical knowledge of Quality reporting in the European Statistical System (ESS). Participants will understand and have practical experience on how to prepare detailed quality reports for the different types of statistical processes according to the Single Integrated Metadata Structure (SIMS) V.2.0 and its derived structures ESMS (Euro-SDMX Metadata Structure) and ESQRS (ESS Standard for Quality Report Structure), including how to calculate ESS Quality and Performance indicators. The ESS Metadata Handler, the web application used by Eurostat to collect metadata and quality report from National Statistical Institutes and Other National Authorities producing European statistics, will be presented.
Target Audience: Staff of National Statistical Institutes (NSIs) and Other National Authorities (ONAs) producing Official Statistics directly involved in the compilation of quality reports or working in quality management and/or quality reporting coordination units.
Description: From 15 to 16 April, FAO organized a workshop in Rome to convene key national stakeholders to introduce them to the ASTI methodology and procedures as well as initiate dialogues between national agricultural research institutes (NARIs) and national statistical offices (NSOs). These dialogues aim to unveil and present the new data collection approach while deliberating on and exploring strategies for effective integration of ASTI into National Statistical System (NSS) mechanisms, a crucial step for providing collecting agencies with a clear mandate, ensuring quality, and official validation of the data.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: This Course aims at: * defining the reference framework of data generated by smart devices, technologies, networks and their relations with official statistics, also comparing NSIs’ different situations (different level of integration, etc.); * introducing the main concepts, frameworks and artefacts to carry out Enterprise Architecture for official statistics; * focussing on the Business Architecture Model/Activity model within NSIs, orientating it to ongoing modernisation changes and related mainly to innovative data sources, Big Data, new data; * explaining how to apply and map GAMSO to new business models for official statistics, innovative sources and Big Data; * explaining how to map GSBPM to the statistical processes related to innovative data sources; * providing an overview of the main statistical and technical guidelines, best practices, and standards as pre-requisites for the implementation of EA and BREAL; * focussing on the context of Big data REference Architecture and Layers – BREAL; * providing theoretical training to develop BREAL; * promoting group discussions on topics such as setting up a capability assessment and roadmaps for acquiring and benefiting from ESS shared investments.
Target Audience: Business architects; IT managers responsible for the design of new processes and innovative IT systems; Statistical survey managers; Statisticians and Technicians involved in statistical production processes.
Description: The first meeting of the fourth series of seminars, “Case studies on food and agricultural statistics” in conjunction with La Sapienza, will take place on Monday, February 26 at 6:00 p.m. in room 34 (fourth floor) of the Department of Statistical Sciences.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: This Course aims at: * defining the reference framework of data generated by smart devices, technologies, networks and their relations with official statistics, also comparing NSIs’ different situations (different level of integration, etc.); * introducing the main concepts, frameworks and artefacts to carry out Enterprise Architecture for official statistics; * focussing on the Business Architecture Model/Activity model within NSIs, orientating it to ongoing modernisation changes and related mainly to innovative data sources, Big Data, new data; * explaining how to apply and map GAMSO to new business models for official statistics, innovative sources and Big Data; * explaining how to map GSBPM to the statistical processes related to innovative data sources; * providing an overview of the main statistical and technical guidelines, best practices, and standards as pre-requisites for the implementation of EA and BREAL; * focussing on the context of Big data REference Architecture and Layers – BREAL; * providing theoretical training to develop BREAL; * promoting group discussions on topics such as setting up a capability assessment and roadmaps for acquiring and benefiting from ESS shared investments.
Target Audience: Business architects; IT managers responsible for the design of new processes and innovative IT systems; Statistical survey managers; Statisticians and Technicians involved in statistical production processes.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: To provide participants with theory and practice of quality in Official Statistics, in particular process and product quality. To this purpose, a brief overview of the ESS quality framework is given. Then, the focus of the course shifts on process and product quality measurement. The statistical process is described and tools for preventing and reducing the errors are presented and discussed. Methods and tools to assess the effect of non-sampling errors such as coverage, measurement and nonresponse errors in statistical products are widely described.
Target Audience: Staff of national statistical institutes involved in statistical production processes and in quality management.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: The course will enhance participants' methodological and technical knowledge of Quality reporting in the European Statistical System (ESS). Participants will understand and have practical experience on how to prepare detailed quality reports for the different types of statistical processes according to the Single Integrated Metadata Structure (SIMS) V.2.0 and its derived structures ESMS (Euro-SDMX Metadata Structure) and ESQRS (ESS Standard for Quality Report Structure), including how to calculate ESS Quality and Performance indicators. The ESS Metadata Handler, the web application used by Eurostat to collect metadata and quality report from National Statistical Institutes and Other National Authorities producing European statistics, will be presented.
Target Audience: Staff of National Statistical Institutes (NSIs) and Other National Authorities (ONAs) producing Official Statistics directly involved in the compilation of quality reports or working in quality management and/or quality reporting coordination units.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat GOPA
Description: This Course aims at: * defining the reference framework of data generated by smart devices, technologies, networks and their relations with official statistics, also comparing NSIs’ different situations (different level of integration, etc.); * introducing the main concepts, frameworks and artefacts to carry out Enterprise Architecture for official statistics; * focussing on the Business Architecture Model/Activity model within NSIs, orientating it to ongoing modernisation changes and related mainly to innovative data sources, Big Data, new data; * explaining how to apply and map GAMSO to new business models for official statistics, innovative sources and Big Data; * explaining how to map GSBPM to the statistical processes related to innovative data sources; * providing an overview of the main statistical and technical guidelines, best practices, and standards as pre-requisites for the implementation of EA and BREAL; * focussing on the context of Big data REference Architecture and Layers – BREAL; * providing theoretical training to develop BREAL; * promoting group discussions on topics such as setting up a capability assessment and roadmaps for acquiring and benefiting from ESS shared investments.
Target Audience: Business architects; IT managers responsible for the design of new processes and innovative IT systems; Statistical survey managers; Statisticians and Technicians involved in statistical production processes.
Source: Eurostat (Data extracted on: 19 May 2023 )
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Organizer(s): European Statistical Advisory Committee Eurostat European Central Bank Federation of European National Statistical Societies Sapienza - University of Rome, Italy ISTAT Italy Banca d'Italia Società Italiana di Statistica
Description: The scope of the Conference is to enhance the dialogue between European methodologists, producers, and users of European Statistics identifying the requirements of the users (ESAC), the best practices of the production (EUROSTAT, ECB, ISTAT, Banca d’Italia), with innovative ways of official statistics production based on Statistics, Data Science and Artificial Intelligence, and based on new methodological ideas for collecting and analysing data (Accademia via FENStatS).
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: This Course aims at: * defining the reference framework of data generated by smart devices, technologies, networks and their relations with official statistics, also comparing NSIs’ different situations (different level of integration, etc.); * introducing the main concepts, frameworks and artefacts to carry out Enterprise Architecture for official statistics; * focussing on the Business Architecture Model/Activity model within NSIs, orientating it to ongoing modernisation changes and related mainly to innovative data sources, Big Data, new data; * explaining how to apply and map GAMSO to new business models for official statistics, innovative sources and Big Data; * explaining how to map GSBPM to the statistical processes related to innovative data sources; * providing an overview of the main statistical and technical guidelines, best practices, and standards as pre-requisites for the implementation of EA and BREAL; * focussing on the context of Big data REference Architecture and Layers – BREAL; * providing theoretical training to develop BREAL; * promoting group discussions on topics such as setting up a capability assessment and roadmaps for acquiring and benefiting from ESS shared investments.
Target Audience: Business architects; IT managers responsible for the design of new processes and innovative IT systems; Statistical survey managers; Statisticians and Technicians involved in statistical production processes.
Description: The twenty-seventh session of the Coordinating Working Party on Fishery Statistics (CWP) will be held in Rome, Italy, from 20 to 24 June 2022, in conjunction with the meetings of the Aquaculture Subject Group (CWP-AS) and the Fisheries Subject Group (CWP-FS). * The meeting documents will be made available under the dedicated meeting webpage prior to the Session.
Description: The International Working Group on Price Indices, known as the "Ottawa Group", was formed in 1994 to provide a forum for specialist academics and practitioners to share their experiences and knowledge and discuss research on crucial problems related to the measurement of price change. While theoretical issues are covered in the discussions, the Group focuses primarily on applied research, particularly, but not exclusively, in the area of consumer price indices. The Group examines the advantages and disadvantages of various concepts, methods and procedures in the context of realistic operational environments, supported by concrete examples whenever possible. Participants are specialists and practitioners who work for or advise statistical agencies in different countries or international organizations. The Group meets every other year, alternating with the meetings of the Group of Experts on Consumer Price Indices, which are jointly organized by the Economic Commission for Europe (ECE) and the International Labour Organization (ILO).
Source: Eurostat (Data extracted on: 04 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objectives of the course are: * Illustrate “standardisation” activities within the European Statistical System and, more in general, within the statistical community; * Explain how to define a standardization strategy to improve the statistical business processes; * Focus on the main conceptual, logical and technical statistical standards detailed in the ESS Enterprise Architecture Reference Framework (GSBPM, GSIM, SDMX, DDI); * Introduce open data (RDF, DCAT) and spatial (INSPIRE) standards; * Highlight the relationships between conceptual and implementation standards; * Experiment with tools in implementing a standards-based metadata-driven architecture for more efficient processes related to metadata management, data dissemination and data reporting.
Target Audience: Subject-matter experts (domains, dissemination and metadata management staff) without specialist IT knowledge.
Source: Eurostat (Data extracted on: 04 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The course will enhance participants' methodological and technical knowledge of Quality reporting in the European Statistical System (ESS). Participants will understand and have practical experience on how to prepare detailed quality reports for the different types of statistical processes according to the Single Integrated Metadata Structure (SIMS) V.2.0 and its derived structures ESMS (Euro-SDMX Metadata Structure) and ESQRS (ESS Standard for Quality Report Structure), including how to calculate ESS Quality and Performance indicators. The ESS Metadata Handler, the web application used by Eurostat to collect metadata and quality report from National Statistical Institutes and Other National Authorities producing European statistics, will be presented.
Target Audience: Staff of National Statistical Institutes (NSIs) and Other National Authorities (ONAs) producing Official Statistics directly involved in the compilation of quality reports or working in quality management and/or quality reporting coordination units.
Source: Eurostat (Data extracted on: 25 Nov 2019 )
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Organizer(s): Eurostat Sogeti
Description: Participants will understand different quality concepts, European Statistical System (ESS) quality criteria, the European Statistics Code of Practice and its Common Quality Framework, and know how to apply methods to measure quality concepts.
Target Audience: Employees of national statistical agencies involved in quality management, measurement and reporting. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: This webinar will discuss the results of the Statistical Capacity Assessment for the FAO-SDG indicators, together with OCS’s capacity development strategy. The event aims to assist FAO-HQ and decentralized offices in designing targeted interventions and mobilizing resources to support countries in collecting, analyzing and using the SDG indicators in decision-making. Speakers: - Pietro Gennari, FAO, Chief Statistician - Ayça Dönmez, Statistician, Office of the Chief Statistician, FAO Find out more: - Presentation - FAO’s Statistical Capacity Assessment (Country profiles) - Related article SDG indicators under FAO custodianship: What’s new? (also available in French and Spanish)
Source: Eurostat (Data extracted on: 03 Jun 2019 )
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Organizer(s): Eurostat Icon-Institut
Description: The objective of the course is to provide participants with theory and practice of quality management, process and product quality. To this purpose, a brief overview of the ESS common quality framework, the quality dimensions and quality management models is given. Then, the focus of the course shifts on process and product quality measurement for statistics based both on traditional surveys and on multiple sources, including administrative data. The statistical process is described and tools for preventing and reducing the errors are presented and discussed, with a particular focus on the data collection phase. Methods and tools to assess non-sampling errors in statistical products are widely described. ESS quality reporting requirements are also taken into account.
Target Audience: Staff of national statistical institutes involved in statistical production processes and in quality management. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: World Bank (Data extracted on: 14 Jan 2021 )
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Organizer(s): World Bank
Description: 11 to 15 November 2019, Frascati, Italy – A total of 30 participants attended the fifth Center for Development Data (C4D2) International Training Week titled “Special Topics and Recent Developments in Sampling Theory and Practice” held under the aegis of the Partnership for Capacity Development in Household Surveys for Welfare Analysis. The five-day training included lectures and seminars on Sampling principles; Testing sampling designs through sampling simulations; Sampling frames – problems, consequences and solutions; Stratification as an optimization problem; Sampling with remote sensing data and gridded sampling frames; Integration of data sources via statistical matching; Accuracy in official statistics; Total non-response in sample surveys; New sampling strategy in social surveys; Use of auxiliary information for planning the Post Enumeration Survey (PSE) in the population census; Introduction to adaptive sampling; and Digital transformation in action: moving to a data driven organization.
Target Audience: The training aimed at capacitating instructors from the regional statistical training centers on new sampling solutions to address statistical challenges and develop smart solutions to sample surveys thereby among other things, improve the reporting of SDGs for the full benefit of the region’s citizens.
Source: Eurostat (Data extracted on: 03 Jun 2019 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objectives of the course are: (a) Illustrate the overall concepts of the Enterprise Architecture and models for the EA based on the “ESS EA Reference Framework” and the “ESS Statistical Production Reference Architecture”; (b) Focus on the Business Architecture within an NSI; (c) Review and explanation of the main technical and statistical standards: GAMSO; GSBPM; GSIM; CSDA; CSPA.
Target Audience: National delegates representing their country in Working Groups, Task Forces and Committees of the European Statistical System (ESS) or in the Council Working Groups on Statistics. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: Eurostat (Data extracted on: 03 Jun 2019 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objectives of the course are: * illustrate how to define a standardization strategy compliant with the ESS vision 2020; * focus on the main conceptual, logical and technical statistical standards detailed in the ESS Enterprise Architecture Reference Framework (GSBPM, GSIM, SDMX, DDI); * highlight the main aspects related to the quality management in the statistical process and present the ESS standards for reference metadata and quality reporting (ESMS, ESQRS, SIMS, etc); * explain the suitable steps for implementing a standardization strategy based on a metadata-driven architecture that implements more efficient processes related to the dissemination, reporting and more in general to the data and metadata sharing; * provide guidelines and best practices on how to use tools developed by Eurostat or available within the statistical community.
Target Audience: Staff working in supporting dissemination, reporting and data or metadata management. No specialist IT knowledge required. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: This seminar will provide an overview of two currently available standards related to data editing and imputation, described recommended practices and explained the roles of FAO statisticians in the implementation of these standards. Speakers: Pietro Gennari, Chief Statistician, FAOMarcello D’Orazio, Statistician, Office of the Chief Statistician, FAO Find out more: Presentation
Description: During this seminar, the Office of Chief Statistician will discuss some of the key actions the office is taking to assess and improve the quality of statistics produced and disseminated by FAO. Speakers: Pietro Gennari. Chief Statistician, FAOMarcello D’Orazio, Statistician, Office of Chief Statistician, FAO Find out more: Presentation
Source: Eurostat (Data extracted on: 03 Jun 2019 )
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Organizer(s): Eurostat Expertise France
Description: Learn how to extract relevant information for statistical purposes from huge amounts of data.
Target Audience: IT professionals whose role is to support statisticians with big data infrastructure, either via local big data clusters or via cloud solutions, and the engineering of big data processing. Methodologists and statisticians with a strong IT background and who are expected to handle big data infrastructure on their own. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: The Twenty-Sixth Session of the Coordinating Working Party on Fishery Statistics (CWP-26) will be held in Rome, Italy, on 17-18 May 2019 in conjunction with joint and separate meetings of the Aquaculture Subject Group (CWP-AS) and Fisheries Subject Group (CWP-FS).
