EFSA Data Collection using SSD2

Slides:



Advertisements
Similar presentations
1Scientific Advisory Board meeting | 31 maart 2011 Milan WP2: Data organisation and electronic platform Polly Boon.
Advertisements

What Can SAFEFOODERA do for EFSA? GEOFFREY PODGER Executive Director EFSA.
Action Plan Skills Building: Module 2 Defining Action Plan Purpose and Scope January 2013.
Thematic Workshop on Synergies for Capacity Building Geneva, Switzerland 30 March – 2 April Workshop Context, Objectives and Methodology.
Health and Consumers Health and Consumers ECPA/ECCA Regulatory conference on March 2014 Developments in the area of pesticide residues – Commission.
INDUSTRYLINK Workshop Poznan, 23 May 2005 Ingrid Ciabatti TECNOTESSILE Perfect development of “Relevance to the objectives of the NMP priority” and “Potential.
Food Safety Systems in some Member States of the European Union Dieter Arnold Berlin Dieter Arnold
Page 1 Vienna, 03. June 2014 Mario Gavrić Croatian Bureau of Statistics Senior Adviser in Classification, Sampling, Statistical Methods and Analyses Department.
Microbiological Criteria - an introduction Jens Kirk Andersen The National Food Institute Technical University of Denmark.
1 Workshop 3: Health Lessons learned Finn Sheye EFSA Community agencies: Partners in Accession 26 November 2009, Sintra, Portugal.
Annual Report Executive Summaries Food and Veterinary Office Unit F1-Country profiles, Coordination of Follow-up.
FAO/WHO CODEX TRAINING PACKAGE SECTION TWO UNDERSTANDING THE ORGANIZATION OF CODEX Module 2.4 Which committees should my country be involved in?
ES S Eurostat / Food safety statistics Food and Agricultural Statistics in Europe - Roma, 29 June-1 July 2005 Slide 1 of 28 Towards food safety statistics.
New business Council (JCTA) in Japan FAO-IGG pre-Meeting July18 th and 19 th,2011 Mombasa,Kenya Update Japanese Tea Safety.
First Symposium-Capacity Development in Nutrition and Food Research in Central and Eastern Europe (CAPNUTRA): Balkan Food Platform - Regional Food Composition.
Metadata management and statistical business process at Statistics Estonia Work Session on Statistical Metadata (Geneva, Switzerland 8-10 May 2013) Kaja.
Science - the basis of CODEX work. The Role of Science in Codex Decision-Making Key principles Risk analysis guide Codex stds from development to implementation.
POLISH EFSA FOCAL POINT – ANNUAL EXPERTS SUMMIT
Working together with EFSA in making Europe’s food safe Warszawa, 16. April 2013 Cooperation between EFSA and Member States Jacek Postupolski National.
Pesticide residues in fruit and vegetables from Africa - a Nordic Project Karlstr ö m U 1, Siivinen K 2, Hamborg Jensen B 3, Petersen A 3, Nielsen H 4,
Advisory group on fruit and vegetables 7 March 2008
Estonian monitoring results of pesticide residues in food: summary of 2013 – 2014 Kadi Padur Veterinary and Food Board 11th Nordic Pesticide Residue Workshop.
OVERVIEW OF THE ROLES OF VARIOUS INSTITUTIONS AND REGULATORY FRAMEWORK FOR AFLATOXIN CONTROL IN TANZANIA RAYMOND N. WIGENGE DIRECTOR OF FOOD SAFETY TFDA.
Directive 98/83/EC « water intended for human consumption » of 3 November 1998 Ministère de la Santé, de la jeunesse, des sports et de la vie associative.
Dutch plan for finalising Hair software package Alterra – Wageningen University and Research Centre Roel Kruijne Working Group Meeting on Pesticide Statistics,
Eurostat ESTP course on International Trade in Goods Statistics April 2013 Point 2 of the agenda Legal framework for EU trade statistics.
/ 1 International Workshop for CIS countries “ The use of standards for fresh fruit and vegetables and dry produce in technical regulations and the application.
Framework and Toolkit for UN Coherence, Effectiveness and Relevance at Country Level: Step 7 – Monitor & Evaluate.
ECENA Workshop on Benchmarking and Progress Monitoring in Environmental Enforcement and Compliance Szentendre, March 29-30, 2007 Assessment Tools and Methods.
SEA in the Czech Republic Prague, 24 September 2008.
Eurostat 1 7a. Practical use case 1: Pesticides Use Project Blanaru Cristina Eurostat Unit B5: “Central data and metadata services” SDMX Basics course,
© WRc plc 2010 Agenda item 3b: Summary of WISE electronic delivery: presentation of an example.
Organising of the Official Food Control in Finland Jorma Hirn Director General National Food Agency.
The database of demonstration and trail projects in sustainable energy and transport in Scandinavia Per Dannemand Andersen, DTU Management Engineering.
The future technical cooperation between European agencies and IPA beneficiaries: NEEDS AND CHALLENGES IN THE AREA OF FOOD SECURITY IN THE REPUBLIC OF.
1 TASK 3.2 C CMEP Mandate Mario Carere, Chiara Maggi, Bernd Gawlik, Valeria Dulio.
Counselor dr. Otilia Mihail Ministry of Environment, Water and Forest Constanta 17 June
Example 4: Example of a Risk Based Microbiological Criterion for food/pathogen with a high prevalent pathogen Jens Kirk Andersen Maarten Nauta Annette.
Monitoring Fact Sheets DIKE TSG1 04. July 2013, Copenhagen Proposal for the use of web-based monitoring “fact sheets” for the purpose of MSFD reporting.
Workshop Method Validation in Analytical Sciences Current practices and future challenges Gent, 9-10 May 2016 Report from WG 4.
1. Consumers, Health, Agriculture and Food Executive Agency Risk assessment with regard to food and feed safety Risk analysis Why risk assessment in the.
Croatia: Result orientation within the process of preparation of programming documents V4+ Croatia and Slovenia Expert Level Conference Budapest,
Consumers, Health, Agriculture and Food Executive Agency 3rd Health Programme The Electronic Submission System (JA 2015) Georgios MARGETIDIS.
Member State Implementation of EU Directive 2009/54/EC on Natural Mineral Waters in a Member State – Experiences of a EU Member State Ilona Drulyte National.
New data collection-State of play Residues of Veterinary Medicinal Products in live animals and animal products Anca Stoicescu, Scientific Officer Zagreb,
Requirements for Natural Mineral Water and Differences for Bottled Water (Including Bottled Drinking Water) Ilona Drulyte National Food and Veterinary.
Österreichische Agentur für Gesundheit und Ernährungssicherheit GmbHwww.ages.at Dr. Peter Much Austrian Agency for Health and Food Safety Multi-beneficiary.
European Monitoring Platform for Mapping of QoS and QoE
Strategic Initiative for Resource Efficient Biomass Policies
L. Radulov, A. Nikolaev Black Sea Regional Energy Centre
Handling the risk of chemicals in food and feed
PM 584 Competitive Success/snaptutorial.com
PM 584 Education for Service/snaptutorial.com
OECD Principles of GLP and Test Guidelines
Marine Strategy Framework Directive:
Workshop on the data collection of occupational data
Chemical Monitoring mandate
Food and Beverages Importers Association (FBIA)
on Priority Substances Strategic Coordination Group
Successfully implementing EQSbiota?
Philippe QUEVAUVILLER
Marine Strategy Framework Directive (MSFD)
Task Force on Target Setting and Reporting TFTSR
Natural water Retention Measures
Introduction- Link with WG E activity CMEP PLENARY MEETING-PRAGUE
Reporting for MSFD Article 13 and 14 –
Netherlands Institute for Fisheries Research (RIVO)
INTEGRATION PROCESS TO EU – EXPERIENCES OF MONTENEGRO
Work Session on Statistical Metadata (Geneva, Switzerland May 2013)
Introduction to reference metadata and quality reporting
Presentation transcript:

EFSA Data Collection using SSD2 for pesticide monitoring results Jens Hinge Andersen (jhia@food.dtu.dk) Dept. of Risk Assessment and Nutrition National Food Institute, DTU Food (www.food.dtu.dk)

Outline SSD: Standard Sample Description Using SSD for pesticide monitoring results: Some challenges using SSD1 Moving from SSD1 to SSD2 Some challenges using SSD2 Some potential improvements using SSD2 Implementation of FoodEx2 in DK

SSD: Standard Sample Description EFSA collects data from National authorities Research institutions Industry In a standardised data format on Pesticide residues Chemical contaminants Additives Zoonosis Veterinary drugs Food consumption FoodEx2 SSD1 SSD2

SSD1 SSD2 ≈35 relevant elements ≈35 relevant elements 76 elements total 204 elements total

Some challenges using SSD1 for pesticide monitoring results (1) Product Treatment / MRL applicabillity Are EU-MRL applicable for processed food? No element for this specific information is present in SSD1. Pesticide domain: Use Product Treatment (prodTreat): Unprocessed => EU-MRL is applicable Processed => EU-MRL is not applicable This may conflict with other data domains when e.g. dry beans or black tea must be reported as ‘Unprocessed’ in the pesticide domain to reflect MRL legislation.

Some challenges using SSD1 for pesticide monitoring results (2) Program Type / EU coordinated program Are sample part of the EU coordinated program ? No element for this specific information is present in SSD1. Pesticide domain: Use Program Type (progType): ‘Official (EU) programme’ => YES ‘Official (EU or National) programme’ => YES ‘Official (National) programme’ => NO This may conflict with other data domains when e.g. samples from Directive 96/23 must be reported (draft 2014 Guideline) as ‘Official (National) programme’ in the pesticide domain.

Moving from SSD1 to SSD2 New names to elements, new ordering of elements You can keep your present structure, just changing names and ordering when XML-file is written New type of element: Compound elements You can keep fields separate in your database, just creating the compound text when the XML-file is written New catalogue structure: FoodEx2 catalogue Parameter catalogue Method catalogue !!! (changes in structure can be ignored) (changes in structure can be ignored)

Moving from SSD1 to SSD2 SSD1 SSD2 Product Code (prodCom/MATRIX) Product Treatment (prodTreat/PRODTR) Type of matrix (sampMatType/MTXTYP): Food Feed Coded description of the matrix of the sample taken (sampMatCode /FoodEx2) Analytical method type (anMethType/ ANLYTYP): Quantitative Screening

Some challenges using SSD2 for pesticide monitoring results (1) New food description catalogue: FoodEx2 Base code A0DZB for ‘Oranges’ A03AM for ‘Juice, orange’ +Facets A0DZB#F21.A07SE for ‘Oranges (organic production)’ A03AM#F21.A07SE$F28.A07KQ for ‘Juice, orange (organic production, frozen)’ http://www.efsa.europa.eu/en/datex/datexfoodclass.htm Francesco Vernazza <Francesco.VERNAZZA@efsa.europa.eu>

Some challenges using SSD2 for pesticide monitoring results (2) prodCode/MATRIX catalogue is missing from SSD2 prodTreat/PRODTR catalogue is missing from SSD2 FoodEx2 codes not directly linked to legislation No simple relation between FoodEx2 code and MRL applicability

prodCode/MATRIX catalogue P0110020A

prodTreat/PRODTR catalogue prodTreat in the pesticide data domain is used as: EU-MRL is applicable or not No simple relation between FoodEx2 code and MRL applicability

prodTreat/PRODTR catalogue Suggested solution in SSD2 Create a new element: Is EU-MRL applicable ? (YES or NO) in a compound element In addition, create a new element: Processing factor (decimal) in the same compound element Compound element: sampMatInfo or resInfo

prodTreat/PRODTR catalogue Suggested solution in SSD2 <sampMatInfo> MRLapplic=NO $procFactor=3.4 $Com=PF based on loss of water during drying </sampMatInfo>

Transformation of data from DK LIMS to EFSA via DTU Food DVFA Extract from datawarehouse at Danish Vet. and Food Administration DTU Extract received in DTU data base Recoded by local translation tables Supplemented with missing data Write data set as an XML file EFSA XML received in DCF (Data Collection Framework)

Implementation of FoodEx2 in DK (1) DK LIMS categorise products by: Base element (e.g. ‘Orange juice’) Three facets for Heat treatment (e.g. frozen) Physical condition (e.g. powder) Other treatment (e.g. concentrate) FoodEx2 code: Base code: A03CA (Juice concentrate, orange) Facet: F28.A07KQ (TECHNO=Freezing) XML: <sampMatCode>A03CA# F28.A07KQ</sampMatCode>

Implementation of FoodEx2 in DK (2) DTU EFSA product table DK LIMS product table DTU EFSA production table DK LIMS sample table Frozen orange juice concentrate, organic production: <sampMatCode>A03CA#F28.A07KQ$F21.A07SE</sampMatCode>

Thank you for your attention