{"id":2636,"date":"2022-07-22T09:55:05","date_gmt":"2022-07-22T09:55:05","guid":{"rendered":"https:\/\/eccb2022.org\/?page_id=2636"},"modified":"2022-08-25T08:11:23","modified_gmt":"2022-08-25T08:11:23","slug":"ntb-elixir","status":"publish","type":"page","link":"https:\/\/eccb2022.org\/ntb-elixir\/","title":{"rendered":"NTB-EW01"},"content":{"rendered":"\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block stk-6f6b038\" data-block-id=\"6f6b038\"><style>.stk-6f6b038 .stk-block-heading__bottom-line{height:1px !important;background-color:var(u002du002dpaletteColor2,#f7b032) !important;margin-top:12px !important}<\/style><h5 class=\"stk-block-heading__text\"><span style=\"color: var(--paletteColor4, #0081a7);\" class=\"stk-highlight\"><strong>Title<\/strong><\/span><\/h5><div class=\"stk-block-heading__bottom-line\"><\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block stk-508698e\" data-block-id=\"508698e\"><h3 class=\"stk-block-heading__text\">FAIR applied: a practical FAIRification guide for life science data from FAIRplus<\/h3><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block stk-77074a6\" data-block-id=\"77074a6\"><style>.stk-77074a6 .stk-block-heading__bottom-line{height:1px !important;background-color:var(u002du002dpaletteColor2,#f7b032) !important;margin-top:12px !important}<\/style><h5 class=\"stk-block-heading__text\"><span style=\"color: var(--paletteColor4, #0081a7);\" class=\"stk-highlight\"><strong><span style=\"color: var(--paletteColor4, #0081a7);\" class=\"stk-highlight\"><span style=\"color: var(--paletteColor4, #1a928e);\" class=\"stk-highlight\"><span style=\"color: var(--paletteColor4, #0081a7);\" class=\"stk-highlight\">Workshop details<\/span><\/span><\/span><\/strong><\/span><\/h5><div class=\"stk-block-heading__bottom-line\"><\/div><\/div>\n\n\n\n<ul><li>This workshop session is&nbsp;<strong>sponsored<\/strong>&nbsp;by ELIXIR<\/li><li>Date: Sunday, September 18th<\/li><li>Time: 9-13h<\/li><li>Format: Face-to-face<\/li><\/ul>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block stk-0994530\" data-block-id=\"0994530\"><style>.stk-0994530 .stk-block-heading__bottom-line{height:1px !important;background-color:var(u002du002dpaletteColor2,#f7b032) !important;margin-top:12px !important}<\/style><h5 class=\"stk-block-heading__text\"><span style=\"color: var(--paletteColor4, #0081a7);\" class=\"stk-highlight\"><strong>Organisers<\/strong><\/span><\/h5><div class=\"stk-block-heading__bottom-line\"><\/div><\/div>\n\n\n\n<ul><li><strong>Tony Burdett, <\/strong>EMBL-EBI (United Kingdom)<\/li><li><strong>Ibrahim Emam, <\/strong>Imperial College (United Kingdom)<\/li><li><strong>Nick Juty, <\/strong>University of Manchester (United Kingdom)<\/li><li><strong>Philippe Rocca-Serra<\/strong>, University of Oxford (United Kingdom)<\/li><li><strong>Danielle Welter, <\/strong>University of Luxembourg (Luxembourg)<\/li><li><strong>Fuqi Xu<\/strong>, EMBL-EBI (United Kingdom)<\/li><\/ul>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block stk-4a8e43e\" data-block-id=\"4a8e43e\"><style>.stk-4a8e43e .stk-block-heading__bottom-line{height:1px !important;background-color:var(u002du002dpaletteColor2,#f7b032) !important;margin-top:12px !important}<\/style><h5 class=\"stk-block-heading__text\">Topic<\/h5><div class=\"stk-block-heading__bottom-line\"><\/div><\/div>\n\n\n\n<p>We will demonstrate the FAIRplus approach to improving the FAIRness of<br>life science data through systematic, practical and easy to adopt<br>processes, tools and recommendations. The FAIRplus approach has been<br>defined and verified through real-world FAIR implementations developed to<br>enable and support FAIR Data stewardship in life science research projects<br>(IMI) and pharmaceutical research environments.<\/p>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block stk-4cdfd01\" data-block-id=\"4cdfd01\"><style>.stk-4cdfd01 .stk-block-heading__bottom-line{height:1px !important;background-color:var(u002du002dpaletteColor2,#f7b032) !important;margin-top:12px !important}<\/style><h5 class=\"stk-block-heading__text\">Abstract<\/h5><div class=\"stk-block-heading__bottom-line\"><\/div><\/div>\n\n\n\n<p>The FAIR principles were established in 2016 and have seen widespread adoption across the life sciences, being seen as a set of guidelines to promote good data management and stewardship. However, despite wide community adoption of the principles themselves, practical details on how to implement the principles to become FAIR are often too generic and lack the level of domain-specificity that facilitates actual execution of practical steps towards achieving real value-added FAIRified data. Within FAIRplus, we have used the FAIR principles to develop a practical and systematic framework for data FAIRification. Our approach consists of a set of general processes that can be adopted by any life-science-based data-generating<br>projects, a FAIR maturity model for establishing the current state of FAIRness and a target state with practical domain-specific requirements to achieve the desired level of FAIR maturity, the FAIR cookbook containing practical guidance on FAIR best practices through specific recipes, and recommended tools that can be used within these recipes. In this workshop, participants will learn how to assess their own level of FAIRness against the FAIR principles and how to practically and easily apply FAIRplus methodology and tools to improve their own FAIR maturity<\/p>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block stk-dc31181\" data-block-id=\"dc31181\"><style>.stk-dc31181 .stk-block-heading__bottom-line{height:1px !important;background-color:var(u002du002dpaletteColor2,#f7b032) !important;margin-top:12px !important}<\/style><h5 class=\"stk-block-heading__text\">Target Audience<\/h5><div class=\"stk-block-heading__bottom-line\"><\/div><\/div>\n\n\n\n<p>Researchers and data managers who are interested in promoting the reuse of their life sciences datasets through the FAIR principles. Expected audience range from 30-60 participants.<\/p>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block stk-6244519\" data-block-id=\"6244519\"><style>.stk-6244519 .stk-block-heading__bottom-line{height:1px !important;background-color:var(u002du002dpaletteColor2,#f7b032) !important;margin-top:12px !important}<\/style><h5 class=\"stk-block-heading__text\">Intended audience<\/h5><div class=\"stk-block-heading__bottom-line\"><\/div><\/div>\n\n\n\n<p>Data managers and data stewards who are interested in learning about hands-on practices and tools to support and enable the implementation of FAIR principles to life sciences datasets.<\/p>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block stk-e5522df\" data-block-id=\"e5522df\"><style>.stk-e5522df .stk-block-heading__bottom-line{height:1px !important;background-color:var(u002du002dpaletteColor2,#f7b032) !important;margin-top:12px !important}<\/style><h5 class=\"stk-block-heading__text\">Prerequisites<\/h5><div class=\"stk-block-heading__bottom-line\"><\/div><\/div>\n\n\n\n<p>To get the most out of the workshop, participants are expected to be familiar with concepts and techniques involved in biocuration, preferably with experience in generating or managing life science projects\u2019 datasets.<\/p>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block stk-ef0b1ba\" data-block-id=\"ef0b1ba\"><style>.stk-ef0b1ba .stk-block-heading__bottom-line{height:1px !important;background-color:var(u002du002dpaletteColor2,#f7b032) !important;margin-top:12px !important}<\/style><h5 class=\"stk-block-heading__text\">Maximum number of attendees<\/h5><div class=\"stk-block-heading__bottom-line\"><\/div><\/div>\n\n\n\n<p>35<\/p>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block stk-cc5f9b8\" data-block-id=\"cc5f9b8\"><style>.stk-cc5f9b8 .stk-block-heading__bottom-line{height:1px !important;background-color:var(u002du002dpaletteColor2,#f7b032) !important;margin-top:12px !important}<\/style><h5 class=\"stk-block-heading__text\">Material required (for participants)<\/h5><div class=\"stk-block-heading__bottom-line\"><\/div><\/div>\n\n\n\n<p>No materials are required, but attendees wishing to apply the processes and tools presented in the workshop will benefit most if they come with a project in mind that has clearly identified datasets.<\/p>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block stk-ac27588\" data-block-id=\"ac27588\"><style>.stk-ac27588 .stk-block-heading__bottom-line{height:1px !important;background-color:var(u002du002dpaletteColor2,#f7b032) !important;margin-top:12px !important}<\/style><h5 class=\"stk-block-heading__text\">Provisional schedule<\/h5><div class=\"stk-block-heading__bottom-line\"><\/div><\/div>\n\n\n\n<figure class=\"wp-block-table tabla-ntb is-style-regular\" style=\"font-size:15px\"><table><thead><tr><th class=\"has-text-align-left\" data-align=\"left\"> <strong>T<\/strong>IME<\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>CONTENT<\/strong><\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\"><span style=\"color: var(--paletteColor4, #0081a7);\" class=\"stk-highlight\"><strong>09:00 \u2013 10:30<\/strong><\/span><\/td><td class=\"has-text-align-left\" data-align=\"left\"><strong>Part I: Introductions to FAIRplus FAIRification process and tools<\/strong><br><br>Introductions to the FAIRification process, FAIR wizard, FAIR Dataset Maturity model and the FAIR Cookbook<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\"><span style=\"color: var(--paletteColor4, #0081a7);\" class=\"stk-highlight\"><strong>10:30 \u2013 11:15<\/strong><\/span><\/td><td class=\"has-text-align-left\" data-align=\"left\"><strong>Part II: Goal Driven FAIRification<\/strong><br><br>Practical &#8211; Setting a FAIRification Goal using the FAIR wizard: a tool that guides users towards generating an actionable FAIRification goal<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\"><span style=\"color: var(--paletteColor4, #0081a7);\" class=\"stk-highlight\"><strong>11:15 \u2013 11:30<\/strong><\/span><\/td><td class=\"has-text-align-left\" data-align=\"left\"><strong>Break<\/strong><\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\"><span style=\"color: var(--paletteColor4, #0081a7);\" class=\"stk-highlight\"><strong>11:30 \u2013 12:15<\/strong><\/span><\/td><td class=\"has-text-align-left\" data-align=\"left\"><strong>Part III: Data Driven FAIRification<\/strong><br><br>Practical: using the FAIR Dataset Maturity (FAIR-DSM) model: a hands-on FAIR maturity guidance and assessment tool<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\"><span style=\"color: var(--paletteColor4, #0081a7);\" class=\"stk-highlight\"><strong>12:15 \u2013 13:00<\/strong><\/span><\/td><td class=\"has-text-align-left\" data-align=\"left\"><strong>Part IV: Develop a FAIRification task plan + Feedback and Review<\/strong><br><br>\u2013&nbsp;Feedback review &#8211; what worked well, what could be improved.<br>\u2013&nbsp;How to develop a FAIRification task plan &#8211; a walk-away actionable plan based on the outputs from the previous sessions that provides guidance on the next steps to take towards achieving the FAIRification goal.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block stk-f67fa29\" data-block-id=\"f67fa29\"><style>.stk-f67fa29 .stk-block-heading__bottom-line{height:1px !important;background-color:var(u002du002dpaletteColor2,#f7b032) !important;margin-top:12px !important}<\/style><h5 class=\"stk-block-heading__text\">Workshop Expected Outcomes for the attendees<\/h5><div class=\"stk-block-heading__bottom-line\"><\/div><\/div>\n\n\n\n<p>Develop a concrete actionable FAIRification goal to motivate and drive the FAIRification process<br>Run an assessment of the current state of their project dataset<br>Receive guidance on which components could be improved from a FAIR maturity perspective<br>Produce a list of tasks (Process diagram) to reach this goal<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Title FAIR applied: a practical FAIRification guide for life science data from FAIRplus Workshop details This workshop session is&nbsp;sponsored&nbsp;by ELIXIR Date: Sunday, September 18th Time: 9-13h Format: Face-to-face Organisers Tony Burdett, EMBL-EBI (United Kingdom) Ibrahim Emam, Imperial College (United Kingdom) Nick Juty, University of Manchester (United Kingdom) Philippe Rocca-Serra, University of Oxford (United Kingdom) Danielle Welter, University of Luxembourg (Luxembourg) Fuqi Xu, EMBL-EBI (United Kingdom) Topic We will demonstrate the FAIRplus approach to improving the FAIRness oflife science data through systematic, practical and easy to adoptprocesses, tools and recommendations. The FAIRplus approach has beendefined and verified through real-world FAIR implementations\u2026<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":4},"page_title_panel":"","has_hero_section":"default","7b9ded946d4680066060ddae606a4869":"","hero_section":"type-1","hero_elements":[{"id":"custom_title","enabled":true,"heading_tag":"h1","title":"Inicio"},{"id":"custom_description","enabled":true,"description_visibility":{"desktop":true,"tablet":true,"mobile":false}},{"id":"custom_meta","enabled":false,"meta_elements":[{"id":"author","enabled":true,"label":"Por","has_author_avatar":"yes","avatar_size":25},{"id":"post_date","enabled":true,"label":"El","date_format_source":"default","date_format":"M j, 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FAIRification guide for life science data from FAIRplus Workshop details This workshop session is&nbsp;sponsored&nbsp;by ELIXIRDate: Sunday, September 18thTime: 9-13hFormat: Face-to-face Organisers Tony Burdett, EMBL-EBI (United Kingdom)Ibrahim Emam, Imperial College (United Kingdom)Nick Juty, University of Manchester (United Kingdom)Philippe Rocca-Serra, University of Oxford (United Kingdom)Danielle Welter, University of Luxembourg (Luxembourg)Fuqi Xu, EMBL-EBI (United Kingdom) Topic We will demonstrate the FAIRplus approach to improving the FAIRness oflife science data through systematic, practical and easy to adoptprocesses, tools and recommendations. The FAIRplus approach has beendefined and verified through real-world FAIR implementations developed toenable and support FAIR Data stewardship in&hellip;<\/p>\n","category_list":"","author_info":{"name":"eccb2022","url":"https:\/\/eccb2022.org\/author\/eccb2022\/"},"comments_num":"0 comments","_links":{"self":[{"href":"https:\/\/eccb2022.org\/wp-json\/wp\/v2\/pages\/2636"}],"collection":[{"href":"https:\/\/eccb2022.org\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/eccb2022.org\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/eccb2022.org\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/eccb2022.org\/wp-json\/wp\/v2\/comments?post=2636"}],"version-history":[{"count":18,"href":"https:\/\/eccb2022.org\/wp-json\/wp\/v2\/pages\/2636\/revisions"}],"predecessor-version":[{"id":2889,"href":"https:\/\/eccb2022.org\/wp-json\/wp\/v2\/pages\/2636\/revisions\/2889"}],"wp:attachment":[{"href":"https:\/\/eccb2022.org\/wp-json\/wp\/v2\/media?parent=2636"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}