{"id":2162,"date":"2016-04-22T15:39:00","date_gmt":"2016-04-22T15:39:00","guid":{"rendered":"http:\/\/carleton.ca\/cuids\/?page_id=2162"},"modified":"2026-05-13T16:09:57","modified_gmt":"2026-05-13T20:09:57","slug":"research-data-retreat","status":"publish","type":"page","link":"https:\/\/carleton.ca\/cuids\/research-data-retreat\/","title":{"rendered":"Research Data Retreat"},"content":{"rendered":"\n<section class=\"w-screen px-6 cu-section cu-section--white ml-offset-center md:px-8 lg:px-14\">\n    <div class=\"space-y-6 cu-max-w-child-5xl  md:space-y-10 cu-prose-first-last\">\n\n            <div class=\"cu-textmedia flex flex-col lg:flex-row mx-auto gap-6 md:gap-10 my-6 md:my-12 first:mt-0 max-w-5xl\">\n        <div class=\"justify-start cu-textmedia-content cu-prose-first-last\" style=\"flex: 0 0 100%;\">\n            <header class=\"font-light prose-xl cu-pageheader md:prose-2xl cu-component-updated cu-prose-first-last\">\n                                    <h1 class=\"cu-prose-first-last font-semibold !mt-2 mb-4 md:mb-6 relative after:absolute after:h-px after:bottom-0 after:bg-cu-red after:left-px text-3xl md:text-4xl lg:text-5xl lg:leading-[3.5rem] pb-5 after:w-10 text-cu-black-700 not-prose\">\n                        Research Data Retreat\n                    <\/h1>\n                \n                                \n                            <\/header>\n\n                    <\/div>\n\n            <\/div>\n\n    <\/div>\n<\/section>\n\n<p>On April 19, a group of over 40 Carleton researchers gathered in Dunton Tower for a day-long&nbsp;<a href=\"http:\/\/carleton.ca\/cuids\/events\/bigdataworkshop\/\">Research Data Retreat<\/a> hosted by the Institute for Data Science. The day was designed to bring together researchers from all faculties, the library, and computing services to further Carleton&#8217;s collaborative research and other activities in the data science and analytics space.<\/p>\n\n\n\n<figure class=\"wp-block-image alignleft\"><img loading=\"lazy\" decoding=\"async\" width=\"5456\" height=\"3632\" src=\"http:\/\/carleton.ca\/cuids\/wp-content\/uploads\/sites\/245\/DSC00737.jpg\" alt=\"DSC00737\" class=\"wp-image-2161\" srcset=\"https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/sites\/245\/DSC00737.jpg 5456w, https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/sites\/245\/DSC00737-600x400.jpg 600w, https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/sites\/245\/DSC00737-300x200.jpg 300w, https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/sites\/245\/DSC00737-160x107.jpg 160w, https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/sites\/245\/DSC00737-240x160.jpg 240w, https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/sites\/245\/DSC00737-768x511.jpg 768w, https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/sites\/245\/DSC00737-400x266.jpg 400w, https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/sites\/245\/DSC00737-360x240.jpg 360w\" sizes=\"auto, (max-width: 5456px) 100vw, 5456px\" \/><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<p>The day began with a datablitz slideshow, providing&nbsp;all participants with an&nbsp;opportunity to speak briefly on&nbsp;their&nbsp;data science and analytics research interests, skills, and needs. We heard&nbsp;from&nbsp;engineers, computer scientists, economists, mathematicians,&nbsp;historians, social scientists, chemists, and data librarians &#8212; to name a few!<\/p>\n\n\n\n<h3 id=\"gallery-datablitz-slideshow\" class=\"wp-block-heading\"><a href=\"http:\/\/carleton.ca\/cuids\/events\/bigdataworkshop\/research-data-retreat-gallery\/\">Gallery<\/a>&nbsp;<strong>|<\/strong> <a href=\"http:\/\/carleton.ca\/cuids\/events\/bigdataworkshop\/datablitz\/\">Datablitz Slideshow<\/a><\/h3>\n\n\n\n<p>The afternoon session followed an un-conference workshop format whereby&nbsp;participants initiated&nbsp;discussions on topics inspired by the datablitz, and then claimed a time and space for&nbsp;their discussion to&nbsp;occur by filling up a blank agenda grid.<\/p>\n\n\n\n<h4 id=\"discussion-topics-included\" class=\"wp-block-heading\">Discussion topics included:<figure><img loading=\"lazy\" decoding=\"async\" class=\"alignright wp-image-2213 \" src=\"http:\/\/carleton.ca\/cuids\/wp-content\/uploads\/sites\/245\/DSC00695-400x392.jpg\" alt=\"DSC00695\" width=\"252\" height=\"247\" srcset=\"https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/sites\/245\/DSC00695-400x392.jpg 400w, https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/sites\/245\/DSC00695-160x157.jpg 160w, https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/sites\/245\/DSC00695-240x235.jpg 240w, https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/sites\/245\/DSC00695-768x753.jpg 768w, https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/sites\/245\/DSC00695-360x353.jpg 360w\" sizes=\"auto, (max-width: 252px) 100vw, 252px\" \/><\/figure><\/h4>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Multisensory Data Visualization<\/strong><\/li>\n\n\n\n<li><strong>Correlating Science-based Computer Models with Data from the Real World<\/strong> (e.g. experiments)<\/li>\n\n\n\n<li><strong>Text Mining Applications in the Financial Industry:<\/strong> Understanding Unconstructed Financial Data and Applying it to Monetary Policy, Financial Market Monitoring, Investing, etc.<\/li>\n\n\n\n<li><strong>Reverse Engineering Algorithms:<\/strong> Proprietary Algorithms (unpacking the values embedded in them)<\/li>\n\n\n\n<li><strong>Data Classification<\/strong><\/li>\n\n\n\n<li><strong>Bio-Medical and Bio-Ethics:<\/strong> Privacy, Data Access<\/li>\n\n\n\n<li><strong>Permafrost Data and Modeling<\/strong><\/li>\n\n\n\n<li><strong>Computational Requirements:<\/strong> State of the Art Computing Infrastructure, Types of Software Used, Computing Methodologies<\/li>\n\n\n\n<li><strong>Big Data in the Undergraduate Classroom:<\/strong> Finding Data Sets, Evaluating Models, Mining, Objectively Evaluating Outputs<\/li>\n<\/ol>\n\n\n\n<p class=\"has-text-align-left\">We thank all who contributed to the event and look forward to future opportunities for collaboration with Carleton&#8217;s data science\/analytics community!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>On April 19, a group of over 40 Carleton researchers gathered in Dunton Tower for a day-long&nbsp;Research Data Retreat hosted by the Institute for Data Science. The day was designed to bring together researchers from all faculties, the library, and computing services to further Carleton&#8217;s collaborative research and other activities in the data science and [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_cu_dining_location_slug":"","footnotes":"","_links_to":"","_links_to_target":""},"cu_page_type":[],"class_list":["post-2162","page","type-page","status-publish","hentry"],"acf":{"cu_post_thumbnail":false},"_links":{"self":[{"href":"https:\/\/carleton.ca\/cuids\/wp-json\/wp\/v2\/pages\/2162","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/carleton.ca\/cuids\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/carleton.ca\/cuids\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/carleton.ca\/cuids\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/carleton.ca\/cuids\/wp-json\/wp\/v2\/comments?post=2162"}],"version-history":[{"count":3,"href":"https:\/\/carleton.ca\/cuids\/wp-json\/wp\/v2\/pages\/2162\/revisions"}],"predecessor-version":[{"id":5907,"href":"https:\/\/carleton.ca\/cuids\/wp-json\/wp\/v2\/pages\/2162\/revisions\/5907"}],"wp:attachment":[{"href":"https:\/\/carleton.ca\/cuids\/wp-json\/wp\/v2\/media?parent=2162"}],"wp:term":[{"taxonomy":"cu_page_type","embeddable":true,"href":"https:\/\/carleton.ca\/cuids\/wp-json\/wp\/v2\/cu_page_type?post=2162"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}