{"id":3115,"date":"2021-03-25T09:47:43","date_gmt":"2021-03-25T09:47:43","guid":{"rendered":"https:\/\/www.value-dx.eu\/?p=3115"},"modified":"2021-03-26T09:54:21","modified_gmt":"2021-03-26T09:54:21","slug":"federated-research-data-infrastructure-in-the-fight-against-amr","status":"publish","type":"post","link":"https:\/\/www.value-dx.eu\/index.php\/2021\/03\/25\/federated-research-data-infrastructure-in-the-fight-against-amr\/","title":{"rendered":"Federated Research Data Infrastructure in the fight against AMR"},"content":{"rendered":"\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-jzkylawd-ba86e75d702405f62001a756eb35483d\">\n.avia-section.av-jzkylawd-ba86e75d702405f62001a756eb35483d{\nbackground-color:#08b4a0;\nbackground-image:unset;\n}\n<\/style>\n<div id='av_section_1'  class='avia-section av-jzkylawd-ba86e75d702405f62001a756eb35483d main_color avia-section-default avia-no-border-styling  avia-builder-el-0  el_before_av_section  avia-builder-el-first  avia-bg-style-parallax container_wrap fullsize'  ><div class='container av-section-cont-open' ><main  role=\"main\" itemprop=\"mainContentOfPage\"  class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-3115'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-kmoowx1z-340d42f6c07325b93184f3ec6066da68\">\n#top .av-special-heading.av-kmoowx1z-340d42f6c07325b93184f3ec6066da68{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-kmoowx1z-340d42f6c07325b93184f3ec6066da68 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-kmoowx1z-340d42f6c07325b93184f3ec6066da68 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-kmoowx1z-340d42f6c07325b93184f3ec6066da68 av-special-heading-h3 blockquote modern-quote modern-centered  avia-builder-el-1  el_before_av_codeblock  avia-builder-el-first '><h3 class='av-special-heading-tag '  itemprop=\"headline\"  >Federated Research Data Infrastructure in the fight against AMR<\/h3><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div>\n\n<\/div><\/div><\/main><!-- close content main element --><\/div><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-1cjng-9db903d36b325f87b66fb9ba7e96614e\">\n.avia-section.av-1cjng-9db903d36b325f87b66fb9ba7e96614e{\nbackground-color:#1b7ca4;\nbackground-image:unset;\n}\n<\/style>\n<div id='av_section_2'  class='avia-section av-1cjng-9db903d36b325f87b66fb9ba7e96614e main_color avia-section-default avia-no-border-styling  avia-builder-el-3  el_after_av_section  el_before_av_section  avia-bg-style-scroll container_wrap fullsize'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-3115'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-k0i4yzrj-318dd765ad6f41d2fe86b741f8548ed0\">\n.flex_column.av-k0i4yzrj-318dd765ad6f41d2fe86b741f8548ed0{\nborder-radius:0px 0px 0px 0px;\npadding:50px 5% 50px 5%;\n}\n<\/style>\n<div  class='flex_column av-k0i4yzrj-318dd765ad6f41d2fe86b741f8548ed0 av_one_full  avia-builder-el-4  el_before_av_one_fifth  avia-builder-el-first  first flex_column_div  '     ><section  class='av_textblock_section av-yfjs-a24130328363a5d48e40d9c86a7bb2c6 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><p><img fetchpriority=\"high\" decoding=\"async\" class=\"size-medium wp-image-105 alignleft\" src=\"https:\/\/www.value-dx.eu\/wp-content\/uploads\/2019\/07\/shutterstock_457866949-300x200.jpg\" alt=\"\" width=\"300\" height=\"200\" srcset=\"https:\/\/www.value-dx.eu\/wp-content\/uploads\/2019\/07\/shutterstock_457866949-300x200.jpg 300w, https:\/\/www.value-dx.eu\/wp-content\/uploads\/2019\/07\/shutterstock_457866949-768x512.jpg 768w, https:\/\/www.value-dx.eu\/wp-content\/uploads\/2019\/07\/shutterstock_457866949-1030x687.jpg 1030w, https:\/\/www.value-dx.eu\/wp-content\/uploads\/2019\/07\/shutterstock_457866949-1500x1000.jpg 1500w, https:\/\/www.value-dx.eu\/wp-content\/uploads\/2019\/07\/shutterstock_457866949-705x470.jpg 705w, https:\/\/www.value-dx.eu\/wp-content\/uploads\/2019\/07\/shutterstock_457866949-450x300.jpg 450w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>Good data management is extremely important in clinical research and in the fight against AMR. All relevant data, from diagnostic test results to patient records, must be available and collected from various sources and systems in a timely, accurate and efficient manner. Next to that it needs to be able to be shared with concerned stakeholders, in a standardized and easily accessible way.<\/p>\n<p>As part of VALUE-Dx WP3, co-lead by the University Medical Center Utrecht and bioM\u00e9rieux, aims to develop and implement a data management architecture capable for the storage, curation and reporting of the data generated within the project. Interoperability is fundamental in these types of systems. Data is produced in different countries, with different languages and IT systems. In order for it to be aggregated with each other, a common data vocabulary has to be used. In addition, the European GDPR imposes strict constraints on how to handle patient sensitive health data.<\/p>\n<p>In VALUE-Dx, task 3.4, led by FIND, has innovated and showcased (via a Proof of Concept POC1) the use of federated networks, using the <a href=\"https:\/\/ohdsi.org\/\">ODHSI<\/a> open source technology stack. In a federated architecture, the data reside at the data provider location and are queried from a central \u201cobservatory\u201d location. This POC showed how interoperability and data analysis can be orchestrated across an international network of participating laboratories, without the need for individual laboratories to share sensitive patient identifiable data. All that is shared is the query (analytical question) and the aggregated result.<\/p>\n<p>Task 3.4 has exceeded its expectations; not only has it proposed and tested the feasibility of enhancements to ODHSI (in order to allow the platform to work with AMR data) but has also provided an example of the technology working with sample AMR data from different sources.<\/p>\n<\/div><\/section><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-3b8mw-b506a38e8d00a7f4906eea669cebc6be\">\n.flex_column.av-3b8mw-b506a38e8d00a7f4906eea669cebc6be{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-3b8mw-b506a38e8d00a7f4906eea669cebc6be av_one_fifth  avia-builder-el-6  el_after_av_one_full  el_before_av_one_fifth  first flex_column_div av-zero-column-padding  column-top-margin'     ><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" 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