Source: Eurostat (Data extracted on: 01 Dec 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: 01 Dec 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: The BIS Irving Fisher Committee on Central Bank Statistics (IFC) is delighted to announce its upcoming 4th workshop on "Data Science in Central Banking," co-hosted with the Bank of Italy (BoI). For this workshop particular emphasis is placed on the exploration of generative Artificial Intelligence (AI) and its potential applications in central banking. This event aims to gather a diverse audience of practitioners, specialists, and interested stakeholders from central banks, international organisations, national statistical offices, and beyond. The workshop, taking place in Rome on 18-20 February 2025, will be held in person with the option of virtual participation for non-presenters. Our primary objective is to highlight ongoing projects and exchange experiences that can help foster in-house expertise and lessen reliance on external service providers. Projects with replicable code that is open source or sharable between authorities will be particularly appreciated.
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.
Organizer(s): FAO International Food Policy Research Institute
Description: The Women’s Empowerment Metric for National Statistical Systems (WEMNS) event is the soft launch of a streamlined tool for measuring women’s empowerment, which is suitable for use by national statistical...
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.
Description: Join the FAO Land and Water Division for a presentation on WaPOR 3.0 to discover the new database and its improvements, get introduced to the new portal and its features and learn about applications and user's experiences.
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 La Sapienza University of Rome Italy Istat Italy Bank of Italy 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.
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 )
[+] More
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.
