<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY accession="ERP143354" alias="d70376c3-6cf0-4fe0-80de-5e82cd97d05c" center_name="visavet-ucm">
    <IDENTIFIERS>
      <PRIMARY_ID>ERP143354</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject">PRJEB58301</EXTERNAL_ID>
      <SUBMITTER_ID namespace="visavet-ucm">d70376c3-6cf0-4fe0-80de-5e82cd97d05c</SUBMITTER_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>Salmonella genomes deposited by VISAVET-UCM (Madrid, Spain) within the One Health European Joint Programme (OHEJP) DISCoVeR-project</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Other"/>
      <STUDY_ABSTRACT>This project is part of the One Health European Joint Project DISCoVeR (Discovering the sources of Salmonella, Campylobacter, VTEC and antimicrobial resistance). The objective of DISCoVeR are: to fill knowledge gaps regarding potential sources of foodborne zoonoses by including data on non-livestock reservoirs, non-food sources, pets and environmental sources (and their transmission routes) by providing source attribution estimates at different points in the exposure chain level and across EU regions and countries; to critically assess and improve existing source attribution models; and to use both phenotypic and genomic typing techniques for pathogen and antimicrobial resistance characterization, as well as epidemiological data, for the purposes of source attribution.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>Salmonella-OHEJP-DISCoVeR</CENTER_PROJECT_NAME>
      <STUDY_DESCRIPTION>This project is part of the One Health European Joint Project DISCoVeR (Discovering the sources of Salmonella, Campylobacter, VTEC and antimicrobial resistance). The objective of DISCoVeR are: to fill knowledge gaps regarding potential sources of foodborne zoonoses by including data on non-livestock reservoirs, non-food sources, pets and environmental sources (and their transmission routes) by providing source attribution estimates at different points in the exposure chain level and across EU regions and countries; to critically assess and improve existing source attribution models; and to use both phenotypic and genomic typing techniques for pathogen and antimicrobial resistance characterization, as well as epidemiological data, for the purposes of source attribution.</STUDY_DESCRIPTION>
    </DESCRIPTOR>
    <STUDY_ATTRIBUTES>
      <STUDY_ATTRIBUTE>
        <TAG>ENA-FIRST-PUBLIC</TAG>
        <VALUE>2023-10-27</VALUE>
      </STUDY_ATTRIBUTE>
      <STUDY_ATTRIBUTE>
        <TAG>ENA-LAST-UPDATE</TAG>
        <VALUE>2023-10-27</VALUE>
      </STUDY_ATTRIBUTE>
    </STUDY_ATTRIBUTES>
  </STUDY>
</STUDY_SET>
