Pub Date : 2025-10-21DOI: 10.2903/sp.efsa.2025.EN-9427
Julie Schenk, Machteld Varewyck, Tobias Verbeke, Open Analytics NV
In specific contract No 4 issued under the framework agreement OC/EFSA/MESE/2023/03, EFSA requested Open Analytics NV to reproduce the Salmonella chapter from the European Union One Health – Zoonoses Report Union Summary Report in R Markdown and implement a web application to manage the R Markdown chapters and generate a Word report from it. The R Markdown is parametrized, tables and figures have been reproduced where applicable. The online tool is based on the R package rmdUI, developed by Open Analytics NV. This package allows users to create versions of the report, load chapters in the online tool, edit (text) paragraphs and finally export the full report to a Word document. Additionally, the online tool provides functions to run a quick data validation when uploading new datafiles in an admin tab with restricted access.
{"title":"Software for Salmonella Surveillance Report","authors":"Julie Schenk, Machteld Varewyck, Tobias Verbeke, Open Analytics NV","doi":"10.2903/sp.efsa.2025.EN-9427","DOIUrl":"https://doi.org/10.2903/sp.efsa.2025.EN-9427","url":null,"abstract":"<p>In specific contract No 4 issued under the framework agreement OC/EFSA/MESE/2023/03, EFSA requested Open Analytics NV to reproduce the Salmonella chapter from the European Union One Health – Zoonoses Report Union Summary Report in R Markdown and implement a web application to manage the R Markdown chapters and generate a Word report from it. The R Markdown is parametrized, tables and figures have been reproduced where applicable. The online tool is based on the R package <i>rmdUI</i>, developed by Open Analytics NV. This package allows users to create versions of the report, load chapters in the online tool, edit (text) paragraphs and finally export the full report to a Word document. Additionally, the online tool provides functions to run a quick data validation when uploading new datafiles in an admin tab with restricted access.</p>","PeriodicalId":100395,"journal":{"name":"EFSA Supporting Publications","volume":"22 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://efsa.onlinelibrary.wiley.com/doi/epdf/10.2903/sp.efsa.2025.EN-9427","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145366409","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 : 2025-10-15DOI: 10.2903/sp.efsa.2025.EN-9429
Han Bossier, Machteld Varewyck, Tobias Verbeke, Open Analytics NV
In specific contract No 2 issued under the framework agreement OC/EFSA/MESE/2023/03, EFSA requested Open Analytics NV to reproduce the European Union Summary Report on TSE surveillance (TSE report) in R Markdown and implement a web application to manage the R Markdown chapters and generate a Word report from it. The R Markdown is parametrized, tables and figures have been reproduced where applicable. The online tool is based on the R package rmdUI, developed by Open Analytics NV. This package allows users to create versions of the report, load chapters in the online tool, edit (text) paragraphs and finally export the full report to a Word document. Additionally, the online tool provides functions to run a data validation. As well as a tab for admin users to upload/download the raw and derived data.
{"title":"Software for TSE Surveillance Report","authors":"Han Bossier, Machteld Varewyck, Tobias Verbeke, Open Analytics NV","doi":"10.2903/sp.efsa.2025.EN-9429","DOIUrl":"https://doi.org/10.2903/sp.efsa.2025.EN-9429","url":null,"abstract":"<p>In specific contract No 2 issued under the framework agreement OC/EFSA/MESE/2023/03, EFSA requested Open Analytics NV to reproduce the European Union Summary Report on TSE surveillance (TSE report) in R Markdown and implement a web application to manage the R Markdown chapters and generate a Word report from it. The R Markdown is parametrized, tables and figures have been reproduced where applicable. The online tool is based on the R package <i>rmdUI</i>, developed by Open Analytics NV. This package allows users to create versions of the report, load chapters in the online tool, edit (text) paragraphs and finally export the full report to a Word document. Additionally, the online tool provides functions to run a data validation. As well as a tab for admin users to upload/download the raw and derived data.</p>","PeriodicalId":100395,"journal":{"name":"EFSA Supporting Publications","volume":"22 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://efsa.onlinelibrary.wiley.com/doi/epdf/10.2903/sp.efsa.2025.EN-9429","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145316994","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-9655
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 Pesticides 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 Croatia for Pesticides Residues business data collection","authors":"Nikolaos Kollaros, Konstantinos Theofilopoulos, Anna Polychroniou, Network Research Belgium (NRB) S.A.","doi":"10.2903/sp.efsa.2025.EN-9655","DOIUrl":"https://doi.org/10.2903/sp.efsa.2025.EN-9655","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>Pesticides 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-9655","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145272106","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-9641
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 Norway 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 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 Norway 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-9641","DOIUrl":"https://doi.org/10.2903/sp.efsa.2025.EN-9641","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>Norway</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 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-9641","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145272120","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.2026.EN-9656
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 Norway for the analysis of national data flows which contribute data to Food Consumption 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 Norway for Food Consumption business data collection","authors":"Nikolaos Kollaros, Konstantinos Theofilopoulos, Anna Polychroniou, Network Research Belgium (NRB) S.A.","doi":"10.2903/sp.efsa.2026.EN-9656","DOIUrl":"https://doi.org/10.2903/sp.efsa.2026.EN-9656","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>Norway</b> for the analysis of national data flows which contribute data to <b>Food Consumption</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.2026.EN-9656","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271999","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-9653
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 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 Austria 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-9653","DOIUrl":"https://doi.org/10.2903/sp.efsa.2025.EN-9653","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>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-9653","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145272000","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-9651
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 Estonia for the analysis of national data flows which contribute data to Pesticides 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 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 Estonia for Pesticides Residues business data collection","authors":"Nikolaos Kollaros, Konstantinos Theofilopoulos, Anna Polychroniou, Network Research Belgium (NRB) S.A.","doi":"10.2903/sp.efsa.2025.EN-9651","DOIUrl":"https://doi.org/10.2903/sp.efsa.2025.EN-9651","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>Estonia</b> for the analysis of national data flows which contribute data to <b>Pesticides 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 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-9651","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145272151","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-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}