Pub Date : 2025-10-07DOI: 10.2903/sp.efsa.2025.EN-9646
Nikolaos Kollaros, Konstantinos Theofilopoulos, Anna Polychroniou, Network Research Belgium (NRB) S.A.
Analysis and mapping of national data flows and processes relevant to EFSA's business data collections is a long-standing EFSA objective, originally launched with EFSA's SIGMA project in 2018-2019 and further continued with the launch of a focused activity to “Develop, pilot and document a methodology for the data flow mapping and analysis in the European Member States” in 2023. The aim of latter activity is to apply a generic methodology for the analysis of any business data collection at Member State level with the ultimate purpose for countries and EFSA to increase understanding of data flows at national level, where existing challenges rely on and what common solutions could be implemented. This report presents results from the execution of the aforementioned methodology on France for the analysis of national data flows which contribute data to Veterinary Medicinal Product Residues business data collection. The report contains information on the steps, participant organisations and actors, tools, systems, formats, structural and content metadata, as well as challenges and “pain points” identified in the country's internal data flows related to the collection of the selected data. The presented information has been generated based on the responses submitted by the participating Member State to a survey developed in the context of the data flow mapping and analysis methodology as well as relevant discussions held in a post-survey interview with the country. Though the information presented on the current report represents real-world data, it must be clarified that the survey and the follow-up interview with the MS, have been both performed during the activity of the Data Flow Mapping methodology.
{"title":"Country Report of France for Veterinary Medicinal Product Residues business data collection","authors":"Nikolaos Kollaros, Konstantinos Theofilopoulos, Anna Polychroniou, Network Research Belgium (NRB) S.A.","doi":"10.2903/sp.efsa.2025.EN-9646","DOIUrl":"https://doi.org/10.2903/sp.efsa.2025.EN-9646","url":null,"abstract":"<p>Analysis and mapping of national data flows and processes relevant to EFSA's business data collections is a long-standing EFSA objective, originally launched with EFSA's SIGMA project in 2018-2019 and further continued with the launch of a focused activity to “Develop, pilot and document a methodology for the data flow mapping and analysis in the European Member States” in 2023. The aim of latter activity is to apply a generic methodology for the analysis of any business data collection at Member State level with the ultimate purpose for countries and EFSA to increase understanding of data flows at national level, where existing challenges rely on and what common solutions could be implemented. This report presents results from the execution of the aforementioned methodology on <b>France</b> for the analysis of national data flows which contribute data to <b>Veterinary Medicinal Product Residues</b> business data collection. The report contains information on the steps, participant organisations and actors, tools, systems, formats, structural and content metadata, as well as challenges and “pain points” identified in the country's internal data flows related to the collection of the selected data. The presented information has been generated based on the responses submitted by the participating Member State to a survey developed in the context of the data flow mapping and analysis methodology as well as relevant discussions held in a post-survey interview with the country. Though the information presented on the current report represents real-world data, it must be clarified that the survey and the follow-up interview with the MS, have been both performed during the activity of the Data Flow Mapping methodology.</p>","PeriodicalId":100395,"journal":{"name":"EFSA Supporting Publications","volume":"22 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://efsa.onlinelibrary.wiley.com/doi/epdf/10.2903/sp.efsa.2025.EN-9646","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145272203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-07DOI: 10.2903/sp.efsa.2025.EN-9650
Nikolaos Kollaros, Konstantinos Theofilopoulos, Anna Polychroniou, Network Research Belgium (NRB) S.A.
Analysis and mapping of national data flows and processes relevant to EFSA's business data collections is a long-standing EFSA objective, originally launched with EFSA's SIGMA project in 2018-2019 and further continued with the launch of a focused activity to “Develop, pilot and document a methodology for the data flow mapping and analysis in the European Member States” in 2023. The aim of latter activity is to apply a generic methodology for the analysis of any business data collection at Member State level with the ultimate purpose for countries and EFSA to increase understanding of data flows at national level, where existing challenges rely on and what common solutions could be implemented. This report presents results from the execution of the aforementioned methodology on Croatia for the analysis of national data flows which contribute data to Prevalence of Zoonoses and Pathogens business data collection. The report contains information on the steps, participant organizations and actors, tools, systems, formats, structural and content metadata, as well as challenges and “pain points” identified in the country's internal data flows related to the collection of selected data. The presented information has been generated based on the responses submitted by the participating Member State to a survey developed in the context of the data flow mapping and analysis methodology as well as relevant discussions held in a post-survey interview with the country. Though the information presented on the current report represents real-world data, it must be clarified that the survey and the follow-up interview with the MS, have been both performed during the activity of the Data Flow Mapping methodology.
{"title":"Country Report of Croatia for Prevalence of Zoonoses and Pathogens business data collection","authors":"Nikolaos Kollaros, Konstantinos Theofilopoulos, Anna Polychroniou, Network Research Belgium (NRB) S.A.","doi":"10.2903/sp.efsa.2025.EN-9650","DOIUrl":"https://doi.org/10.2903/sp.efsa.2025.EN-9650","url":null,"abstract":"<p>Analysis and mapping of national data flows and processes relevant to EFSA's business data collections is a long-standing EFSA objective, originally launched with EFSA's SIGMA project in 2018-2019 and further continued with the launch of a focused activity to “Develop, pilot and document a methodology for the data flow mapping and analysis in the European Member States” in 2023. The aim of latter activity is to apply a generic methodology for the analysis of any business data collection at Member State level with the ultimate purpose for countries and EFSA to increase understanding of data flows at national level, where existing challenges rely on and what common solutions could be implemented. This report presents results from the execution of the aforementioned methodology on <b>Croatia</b> for the analysis of national data flows which contribute data to <b>Prevalence of Zoonoses and Pathogens</b> business data collection. The report contains information on the steps, participant organizations and actors, tools, systems, formats, structural and content metadata, as well as challenges and “pain points” identified in the country's internal data flows related to the collection of selected data. The presented information has been generated based on the responses submitted by the participating Member State to a survey developed in the context of the data flow mapping and analysis methodology as well as relevant discussions held in a post-survey interview with the country. Though the information presented on the current report represents real-world data, it must be clarified that the survey and the follow-up interview with the MS, have been both performed during the activity of the Data Flow Mapping methodology.</p>","PeriodicalId":100395,"journal":{"name":"EFSA Supporting Publications","volume":"22 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://efsa.onlinelibrary.wiley.com/doi/epdf/10.2903/sp.efsa.2025.EN-9650","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145272104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-07DOI: 10.2903/sp.efsa.2025.EN-9654
Nikolaos Kollaros, Konstantinos Theofilopoulos, Anna Polychroniou, Network Research Belgium (NRB) S.A.
Analysis and mapping of national data flows and processes relevant to EFSA's business data collections launched with the launch of a focused activity to “Develop, pilot and document a methodology for the data flow mapping and analysis in the European Member States” in 2023. The aim of latter activity is to apply a generic methodology for the analysis of any business data collection at Member State level with the ultimate purpose for countries and EFSA to increase understanding of data flows at national level, where existing challenges rely on and what common solutions could be implemented. The results of the methodology applied for each different EFSA business data collection is included in the corresponding country reports of the Member State. Additionally, the Country Challenges and Solutions reports focused on the challenges and “pain points” identified in each respective country's internal data flows along with the proposal of possible solutions. This leads to the creation of the European Summary Report. This report is a comprehensive summary analysis document using information from data flow mapping and analysis activities conducted in European Member States (MS) according to the EFSA data flow mapping methodology as depicted in the Country Reports and Country Challenges and Solutions reports.
{"title":"Data Flow Mapping Methodology European Summary Report","authors":"Nikolaos Kollaros, Konstantinos Theofilopoulos, Anna Polychroniou, Network Research Belgium (NRB) S.A.","doi":"10.2903/sp.efsa.2025.EN-9654","DOIUrl":"https://doi.org/10.2903/sp.efsa.2025.EN-9654","url":null,"abstract":"<p>Analysis and mapping of national data flows and processes relevant to EFSA's business data collections launched with the launch of a focused activity to “Develop, pilot and document a methodology for the data flow mapping and analysis in the European Member States” in 2023. The aim of latter activity is to apply a generic methodology for the analysis of any business data collection at Member State level with the ultimate purpose for countries and EFSA to increase understanding of data flows at national level, where existing challenges rely on and what common solutions could be implemented. The results of the methodology applied for each different EFSA business data collection is included in the corresponding country reports of the Member State. Additionally, the Country Challenges and Solutions reports focused on the challenges and “pain points” identified in each respective country's internal data flows along with the proposal of possible solutions. This leads to the creation of the European Summary Report. This report is a comprehensive summary analysis document using information from data flow mapping and analysis activities conducted in European Member States (MS) according to the EFSA data flow mapping methodology as depicted in the Country Reports and Country Challenges and Solutions reports.</p>","PeriodicalId":100395,"journal":{"name":"EFSA Supporting Publications","volume":"22 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://efsa.onlinelibrary.wiley.com/doi/epdf/10.2903/sp.efsa.2025.EN-9654","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145272159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-07DOI: 10.2903/sp.efsa.2025.EN-9645
Nikolaos Kollaros, Konstantinos Theofilopoulos, Anna Polychroniou, Network Research Belgium (NRB) S.A.
Analysis and mapping of national data flows and processes relevant to EFSA's business data collections is a long-standing EFSA objective, originally launched with EFSA's SIGMA project in 2018-2019 and further continued with the launch of a focused activity to “Develop, pilot and document a methodology for the data flow mapping and analysis in the European Member States” in 2023. The aim of latter activity is to apply a generic methodology for the analysis of any business data collection at Member State level with the ultimate purpose for countries and EFSA to increase understanding of data flows at national level, where existing challenges rely on and what common solutions could be implemented. This report presents results from the execution of the aforementioned methodology on Hungary for the analysis of national data flows which contribute data to Veterinary Medicinal Product Residues business data collection. The report contains information on the steps, participant organizations and actors, tools, systems, formats, structural and content metadata, as well as challenges and “pain points” identified in the country's internal data flows related to the collection of selected data. The presented information has been generated based on the responses submitted by the participating Member State to a survey developed in the context of the data flow mapping and analysis methodology as well as relevant discussions held in a post-survey interview with the country. Though the information presented on the current report represents real-world data, it must be clarified that the survey and the follow-up interview with the MS, have been both performed during the activity of the Data Flow Mapping methodology.
{"title":"Country Report of Hungary for Veterinary Medicinal Product Residues business data collection","authors":"Nikolaos Kollaros, Konstantinos Theofilopoulos, Anna Polychroniou, Network Research Belgium (NRB) S.A.","doi":"10.2903/sp.efsa.2025.EN-9645","DOIUrl":"https://doi.org/10.2903/sp.efsa.2025.EN-9645","url":null,"abstract":"<p>Analysis and mapping of national data flows and processes relevant to EFSA's business data collections is a long-standing EFSA objective, originally launched with EFSA's SIGMA project in 2018-2019 and further continued with the launch of a focused activity to “Develop, pilot and document a methodology for the data flow mapping and analysis in the European Member States” in 2023. The aim of latter activity is to apply a generic methodology for the analysis of any business data collection at Member State level with the ultimate purpose for countries and EFSA to increase understanding of data flows at national level, where existing challenges rely on and what common solutions could be implemented. This report presents results from the execution of the aforementioned methodology on <b>Hungary</b> for the analysis of national data flows which contribute data to <b>Veterinary Medicinal Product Residues</b> business data collection. The report contains information on the steps, participant organizations and actors, tools, systems, formats, structural and content metadata, as well as challenges and “pain points” identified in the country's internal data flows related to the collection of selected data. The presented information has been generated based on the responses submitted by the participating Member State to a survey developed in the context of the data flow mapping and analysis methodology as well as relevant discussions held in a post-survey interview with the country. Though the information presented on the current report represents real-world data, it must be clarified that the survey and the follow-up interview with the MS, have been both performed during the activity of the Data Flow Mapping methodology.</p>","PeriodicalId":100395,"journal":{"name":"EFSA Supporting Publications","volume":"22 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://efsa.onlinelibrary.wiley.com/doi/epdf/10.2903/sp.efsa.2025.EN-9645","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145272201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-07DOI: 10.2903/sp.efsa.2025.EN-9652
Nikolaos Kollaros, Konstantinos Theofilopoulos, Anna Polychroniou, Network Research Belgium (NRB) S.A.
Analysis and mapping of national data flows and processes relevant to EFSA's business data collections is a long-standing EFSA objective, originally launched with EFSA's SIGMA project in 2018-2019 and further continued with the launch of a focused activity to “Develop, pilot and document a methodology for the data flow mapping and analysis in the European Member States” in 2023. The aim of latter activity is to apply a generic methodology for the analysis of any business data collection at Member State level with the ultimate purpose for countries and EFSA to increase understanding of data flows at national level, where existing challenges rely on and what common solutions could be implemented. This report presents results from the execution of the aforementioned methodology on Austria for the analysis of national data flows which contribute data to Foodborne Outbreaks business data collection. The report contains information on the steps, participant organizations and actors, tools, systems, formats, structural and content metadata, as well as challenges and “pain points” identified in the country's internal data flows related to the collection of the selected data. The presented information has been generated based on the responses submitted by the participating Member State to a survey developed in the context of the data flow mapping and analysis methodology as well as relevant discussions held in a post-survey interview with the country. Though the information presented on the current report represents real-world data, it must be clarified that the survey and the follow-up interview with the MS, have been both performed during the activity of the Data Flow Mapping methodology.
{"title":"Country Report of Austria for Foodborne Outbreaks business data collection","authors":"Nikolaos Kollaros, Konstantinos Theofilopoulos, Anna Polychroniou, Network Research Belgium (NRB) S.A.","doi":"10.2903/sp.efsa.2025.EN-9652","DOIUrl":"https://doi.org/10.2903/sp.efsa.2025.EN-9652","url":null,"abstract":"<p>Analysis and mapping of national data flows and processes relevant to EFSA's business data collections is a long-standing EFSA objective, originally launched with EFSA's SIGMA project in 2018-2019 and further continued with the launch of a focused activity to “Develop, pilot and document a methodology for the data flow mapping and analysis in the European Member States” in 2023. The aim of latter activity is to apply a generic methodology for the analysis of any business data collection at Member State level with the ultimate purpose for countries and EFSA to increase understanding of data flows at national level, where existing challenges rely on and what common solutions could be implemented. This report presents results from the execution of the aforementioned methodology on <b>Austria</b> for the analysis of national data flows which contribute data to <b>Foodborne Outbreaks</b> business data collection. The report contains information on the steps, participant organizations and actors, tools, systems, formats, structural and content metadata, as well as challenges and “pain points” identified in the country's internal data flows related to the collection of the selected data. The presented information has been generated based on the responses submitted by the participating Member State to a survey developed in the context of the data flow mapping and analysis methodology as well as relevant discussions held in a post-survey interview with the country. Though the information presented on the current report represents real-world data, it must be clarified that the survey and the follow-up interview with the MS, have been both performed during the activity of the Data Flow Mapping methodology.</p>","PeriodicalId":100395,"journal":{"name":"EFSA Supporting Publications","volume":"22 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://efsa.onlinelibrary.wiley.com/doi/epdf/10.2903/sp.efsa.2025.EN-9652","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145272105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-07DOI: 10.2903/sp.efsa.2025.EN-9644
Nikolaos Kollaros, Konstantinos Theofilopoulos, Anna Polychroniou, Network Research Belgium (NRB) S.A.
Analysis and mapping of national data flows and processes relevant to EFSA's business data collections is a long-standing EFSA objective, originally launched with EFSA's SIGMA project in 2018-2019 and further continued with the launch of a focused activity to “Develop, pilot and document a methodology for the data flow mapping and analysis in the European Member States” in 2023. The aim of latter activity is to apply a generic methodology for the analysis of any business data collection at Member State level with the ultimate purpose for countries and EFSA to increase understanding of data flows at national level, where existing challenges rely on and what common solutions could be implemented. This report presents results from the execution of the aforementioned methodology on Hungary for the analysis of national data flows which contribute data to Chemical Contaminants Occurrence business data collection. The report contains information on the steps, participant organizations and actors, tools, systems, formats, structural and content metadata, as well as challenges and “pain points” identified in the country's internal data flows related to the collection of selected data. The presented information has been generated based on the responses submitted by the participating Member State to a survey developed in the context of the data flow mapping and analysis methodology as well as relevant discussions held in a post-survey interview with the country. Though the information presented on the current report represents real-world data, it must be clarified that the survey and the follow-up interview with the MS, have been both performed during the activity of the Data Flow Mapping methodology.
{"title":"Country Report of Hungary for Chemical Contaminants Occurrence business data collection","authors":"Nikolaos Kollaros, Konstantinos Theofilopoulos, Anna Polychroniou, Network Research Belgium (NRB) S.A.","doi":"10.2903/sp.efsa.2025.EN-9644","DOIUrl":"https://doi.org/10.2903/sp.efsa.2025.EN-9644","url":null,"abstract":"<p>Analysis and mapping of national data flows and processes relevant to EFSA's business data collections is a long-standing EFSA objective, originally launched with EFSA's SIGMA project in 2018-2019 and further continued with the launch of a focused activity to “Develop, pilot and document a methodology for the data flow mapping and analysis in the European Member States” in 2023. The aim of latter activity is to apply a generic methodology for the analysis of any business data collection at Member State level with the ultimate purpose for countries and EFSA to increase understanding of data flows at national level, where existing challenges rely on and what common solutions could be implemented. This report presents results from the execution of the aforementioned methodology on <b>Hungary</b> for the analysis of national data flows which contribute data to <b>Chemical Contaminants Occurrence</b> business data collection. The report contains information on the steps, participant organizations and actors, tools, systems, formats, structural and content metadata, as well as challenges and “pain points” identified in the country's internal data flows related to the collection of selected data. The presented information has been generated based on the responses submitted by the participating Member State to a survey developed in the context of the data flow mapping and analysis methodology as well as relevant discussions held in a post-survey interview with the country. Though the information presented on the current report represents real-world data, it must be clarified that the survey and the follow-up interview with the MS, have been both performed during the activity of the Data Flow Mapping methodology.</p>","PeriodicalId":100395,"journal":{"name":"EFSA Supporting Publications","volume":"22 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://efsa.onlinelibrary.wiley.com/doi/epdf/10.2903/sp.efsa.2025.EN-9644","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145272098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-07DOI: 10.2903/sp.efsa.2025.EN-9657
Nikolaos Kollaros, Konstantinos Theofilopoulos, Anna Polychroniou, Network Research Belgium (NRB) S.A.
Analysis and mapping of national data flows and processes relevant to EFSA's data collections is a long-standing EFSA objective, originally launched with EFSA's SIGMA project in 2018-2019 and further continued with the launch of a focused activity to “Develop, pilot and document a methodology for the data flow mapping and analysis in the European Member States” in 2023. The aim of latter activity is to apply a generic methodology for the analysis of any data collection at Member State level with the ultimate purpose for countries and EFSA to increase understanding of data flows at national level, where existing challenges rely on and what common solutions could be implemented. This report presents results from the execution of the aforementioned methodology on Ireland for the analysis of national data flows which contribute data to Chemical Contaminants Occurrence data collection. The report contains information on the steps, participant organizations and actors, tools, systems, formats, structural and content metadata, as well as challenges and “pain points” identified in the country's internal data flows related to the collection of the selected data. The presented information has been generated based on the responses submitted by the participating Member State to a survey developed in the context of the data flow mapping and analysis methodology as well as relevant discussions held in a post-survey interview with the country. Though the information presented on the current report represents real-world data, it must be clarified that the survey and the follow-up interview with the MS, have been both performed during the activity of the Data Flow Mapping methodology.
{"title":"Country Report of Ireland for Chemical Contaminants Occurrence data collection","authors":"Nikolaos Kollaros, Konstantinos Theofilopoulos, Anna Polychroniou, Network Research Belgium (NRB) S.A.","doi":"10.2903/sp.efsa.2025.EN-9657","DOIUrl":"https://doi.org/10.2903/sp.efsa.2025.EN-9657","url":null,"abstract":"<p>Analysis and mapping of national data flows and processes relevant to EFSA's data collections is a long-standing EFSA objective, originally launched with EFSA's SIGMA project in 2018-2019 and further continued with the launch of a focused activity to “Develop, pilot and document a methodology for the data flow mapping and analysis in the European Member States” in 2023. The aim of latter activity is to apply a generic methodology for the analysis of any data collection at Member State level with the ultimate purpose for countries and EFSA to increase understanding of data flows at national level, where existing challenges rely on and what common solutions could be implemented. This report presents results from the execution of the aforementioned methodology on <b>Ireland</b> for the analysis of national data flows which contribute data to <b>Chemical Contaminants Occurrence</b> data collection. The report contains information on the steps, participant organizations and actors, tools, systems, formats, structural and content metadata, as well as challenges and “pain points” identified in the country's internal data flows related to the collection of the selected data. The presented information has been generated based on the responses submitted by the participating Member State to a survey developed in the context of the data flow mapping and analysis methodology as well as relevant discussions held in a post-survey interview with the country. Though the information presented on the current report represents real-world data, it must be clarified that the survey and the follow-up interview with the MS, have been both performed during the activity of the Data Flow Mapping methodology.</p>","PeriodicalId":100395,"journal":{"name":"EFSA Supporting Publications","volume":"22 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://efsa.onlinelibrary.wiley.com/doi/epdf/10.2903/sp.efsa.2025.EN-9657","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145272117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-07DOI: 10.2903/sp.efsa.2025.EN-9649
Nikolaos Kollaros, Konstantinos Theofilopoulos, Anna Polychroniou, Network Research Belgium (NRB) S.A.
Analysis and mapping of national data flows and processes relevant to EFSA's business data collections is a long-standing EFSA objective, originally launched with EFSA's SIGMA project in 2018-2019 and further continued with the launch of a focused activity to “Develop, pilot and document a methodology for the data flow mapping and analysis in the European Member States” in 2023. The aim of latter activity is to apply a generic methodology for the analysis of any business data collection at Member State level with the ultimate purpose for countries and EFSA to increase understanding of data flows at national level, where existing challenges rely on and what common solutions could be implemented. This report presents results from the execution of the aforementioned methodology on Czechia for the analysis of national data flows which contribute data to Chemical Contaminants Occurrence business data collection. The report contains information on the steps, participant organizations and actors, tools, systems, formats, structural and content metadata, as well as challenges and “pain points” identified in the country's internal data flows related to the collection of selected data. The presented information has been generated based on the responses submitted by the participating Member State to a survey developed in the context of the data flow mapping and analysis methodology as well as relevant discussions held in a post-survey interview with the country. Though the information presented on the current report represents real-world data, it must be clarified that the survey and the follow-up interview with the MS, have been both performed during the activity of the Data Flow Mapping methodology.
{"title":"Country Report of Czechia for Chemical Contaminants Occurrence business data collection","authors":"Nikolaos Kollaros, Konstantinos Theofilopoulos, Anna Polychroniou, Network Research Belgium (NRB) S.A.","doi":"10.2903/sp.efsa.2025.EN-9649","DOIUrl":"https://doi.org/10.2903/sp.efsa.2025.EN-9649","url":null,"abstract":"<p>Analysis and mapping of national data flows and processes relevant to EFSA's business data collections is a long-standing EFSA objective, originally launched with EFSA's SIGMA project in 2018-2019 and further continued with the launch of a focused activity to “Develop, pilot and document a methodology for the data flow mapping and analysis in the European Member States” in 2023. The aim of latter activity is to apply a generic methodology for the analysis of any business data collection at Member State level with the ultimate purpose for countries and EFSA to increase understanding of data flows at national level, where existing challenges rely on and what common solutions could be implemented. This report presents results from the execution of the aforementioned methodology on <b>Czechia</b> for the analysis of national data flows which contribute data to <b>Chemical Contaminants Occurrence</b> business data collection. The report contains information on the steps, participant organizations and actors, tools, systems, formats, structural and content metadata, as well as challenges and “pain points” identified in the country's internal data flows related to the collection of selected data. The presented information has been generated based on the responses submitted by the participating Member State to a survey developed in the context of the data flow mapping and analysis methodology as well as relevant discussions held in a post-survey interview with the country. Though the information presented on the current report represents real-world data, it must be clarified that the survey and the follow-up interview with the MS, have been both performed during the activity of the Data Flow Mapping methodology.</p>","PeriodicalId":100395,"journal":{"name":"EFSA Supporting Publications","volume":"22 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://efsa.onlinelibrary.wiley.com/doi/epdf/10.2903/sp.efsa.2025.EN-9649","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145272118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-07DOI: 10.2903/sp.efsa.2025.EN-9648
Nikolaos Kollaros, Konstantinos Theofilopoulos, Anna Polychroniou, Network Research Belgium (NRB) S.A.
Analysis and mapping of national data flows and processes relevant to EFSA's business data collections is a long-standing EFSA objective, originally launched with EFSA's SIGMA project in 2018-2019 and further continued with the launch of a focused activity to “Develop, pilot and document a methodology for the data flow mapping and analysis in the European Member States” in 2023. The aim of latter activity is to apply a generic methodology for the analysis of any business data collection at Member State level with the ultimate purpose for countries and EFSA to increase understanding of data flows at national level, where existing challenges rely on and what common solutions could be implemented. This report presents results from the execution of the aforementioned methodology on Czechia for the analysis of national data flows which contribute data to Prevalence of Zoonoses and Pathogens business data collection. The report contains information on the steps, participant organizations and actors, tools, systems, formats, structural and content metadata, as well as challenges and “pain points” identified in the country's internal data flows related to the collection of selected data. The presented information has been generated based on the responses submitted by the participating Member State to a survey developed in the context of the data flow mapping and analysis methodology as well as relevant discussions held in a post-survey interview with the country. Though the information presented on the current report represents real-world data, it must be clarified that the survey and the follow-up interview with the MS, have been both performed during the activity of the Data Flow Mapping methodology.
{"title":"Country Report of Czechia for Prevalence of Zoonoses and Pathogens business data collection","authors":"Nikolaos Kollaros, Konstantinos Theofilopoulos, Anna Polychroniou, Network Research Belgium (NRB) S.A.","doi":"10.2903/sp.efsa.2025.EN-9648","DOIUrl":"https://doi.org/10.2903/sp.efsa.2025.EN-9648","url":null,"abstract":"<p>Analysis and mapping of national data flows and processes relevant to EFSA's business data collections is a long-standing EFSA objective, originally launched with EFSA's SIGMA project in 2018-2019 and further continued with the launch of a focused activity to “Develop, pilot and document a methodology for the data flow mapping and analysis in the European Member States” in 2023. The aim of latter activity is to apply a generic methodology for the analysis of any business data collection at Member State level with the ultimate purpose for countries and EFSA to increase understanding of data flows at national level, where existing challenges rely on and what common solutions could be implemented. This report presents results from the execution of the aforementioned methodology on <b>Czechia</b> for the analysis of national data flows which contribute data to <b>Prevalence of Zoonoses and Pathogens</b> business data collection. The report contains information on the steps, participant organizations and actors, tools, systems, formats, structural and content metadata, as well as challenges and “pain points” identified in the country's internal data flows related to the collection of selected data. The presented information has been generated based on the responses submitted by the participating Member State to a survey developed in the context of the data flow mapping and analysis methodology as well as relevant discussions held in a post-survey interview with the country. Though the information presented on the current report represents real-world data, it must be clarified that the survey and the follow-up interview with the MS, have been both performed during the activity of the Data Flow Mapping methodology.</p>","PeriodicalId":100395,"journal":{"name":"EFSA Supporting Publications","volume":"22 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://efsa.onlinelibrary.wiley.com/doi/epdf/10.2903/sp.efsa.2025.EN-9648","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145272152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-07DOI: 10.2903/sp.efsa.2025.EN-9643
Nikolaos Kollaros, Konstantinos Theofilopoulos, Anna Polychroniou, Network Research Belgium (NRB) S.A.
Analysis and mapping of national data flows and processes relevant to EFSA's business data collections is a long-standing EFSA objective, originally launched with EFSA's SIGMA project in 2018-2019 and further continued with the launch of a focused activity to “Develop, pilot and document a methodology for the data flow mapping and analysis in the European Member States” in 2023. The aim of latter activity is to apply a generic methodology for the analysis of any business data collection at Member State level with the ultimate purpose for countries and EFSA to increase understanding of data flows at national level, where existing challenges rely on and what common solutions could be implemented. This report presents results from the execution of the aforementioned methodology on Italy for the analysis of national data flows which contribute data to Food Additives Occurrence business data collection. The report contains information on the steps, participant organizations and actors, tools, systems, formats, structural and content metadata, as well as challenges and “pain points” identified in the country's internal data flows related to the collection of the selected data. The presented information has been generated based on the responses submitted by the participating Member State to a survey developed in the context of the data flow mapping and analysis methodology as well as relevant discussions held in a post-survey interview with the country. Though the information presented on the current report represents real-world data, it must be clarified that the survey and the follow-up interview with the MS, have been both performed during the activity of the Data Flow Mapping methodology.
{"title":"Country Report of Italy for Food Additives Occurrence business data collection","authors":"Nikolaos Kollaros, Konstantinos Theofilopoulos, Anna Polychroniou, Network Research Belgium (NRB) S.A.","doi":"10.2903/sp.efsa.2025.EN-9643","DOIUrl":"https://doi.org/10.2903/sp.efsa.2025.EN-9643","url":null,"abstract":"<p>Analysis and mapping of national data flows and processes relevant to EFSA's business data collections is a long-standing EFSA objective, originally launched with EFSA's SIGMA project in 2018-2019 and further continued with the launch of a focused activity to “Develop, pilot and document a methodology for the data flow mapping and analysis in the European Member States” in 2023. The aim of latter activity is to apply a generic methodology for the analysis of any business data collection at Member State level with the ultimate purpose for countries and EFSA to increase understanding of data flows at national level, where existing challenges rely on and what common solutions could be implemented. This report presents results from the execution of the aforementioned methodology on <b>Italy</b> for the analysis of national data flows which contribute data to <b>Food Additives Occurrence</b> business data collection. The report contains information on the steps, participant organizations and actors, tools, systems, formats, structural and content metadata, as well as challenges and “pain points” identified in the country's internal data flows related to the collection of the selected data. The presented information has been generated based on the responses submitted by the participating Member State to a survey developed in the context of the data flow mapping and analysis methodology as well as relevant discussions held in a post-survey interview with the country. Though the information presented on the current report represents real-world data, it must be clarified that the survey and the follow-up interview with the MS, have been both performed during the activity of the Data Flow Mapping methodology.</p>","PeriodicalId":100395,"journal":{"name":"EFSA Supporting Publications","volume":"22 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://efsa.onlinelibrary.wiley.com/doi/epdf/10.2903/sp.efsa.2025.EN-9643","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145272165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}