{"id":9894,"date":"2022-05-21T08:01:00","date_gmt":"2022-05-21T07:01:00","guid":{"rendered":"https:\/\/alzheimer.noemiconcept.com\/?p=9894"},"modified":"2024-06-04T11:43:49","modified_gmt":"2024-06-04T10:43:49","slug":"adataviewer-exploring-semantically-harmonized-alzheimersdisease-cohort-datasets","status":"publish","type":"post","link":"https:\/\/ep-ad.org\/index.php\/2022\/05\/21\/adataviewer-exploring-semantically-harmonized-alzheimersdisease-cohort-datasets\/","title":{"rendered":"Alzheimer&#8217;s Research &amp; Therapy"},"content":{"rendered":"\n<p><strong>&#8220;ADataViewer: exploring semantically harmonized Alzheimer\u2019s disease cohort datasets&#8221;<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img fetchpriority=\"high\" decoding=\"async\" width=\"450\" height=\"200\" src=\"https:\/\/ep-ad.org\/wp-content\/uploads\/2015\/05\/Logo-EPAD-e1442819956731-1.png\" alt=\"\" class=\"wp-image-9683\" srcset=\"https:\/\/ep-ad.org\/wp-content\/uploads\/2015\/05\/Logo-EPAD-e1442819956731-1.png 450w, https:\/\/ep-ad.org\/wp-content\/uploads\/2015\/05\/Logo-EPAD-e1442819956731-1-300x133.png 300w\" sizes=\"(max-width: 450px) 100vw, 450px\" \/><\/figure>\n\n\n\n<p><strong>Authors:<\/strong> Yasamin Salimi, Daniel Domingo-Fern\u00e1ndez, Carlos Bobis-\u00c1lvarez, Martin Hofmann-Apitius &amp; Colin Birkenbihl for the Alzheimer\u2019s Disease Neuroimaging Initiative, the Japanese Alzheimer\u2019s Disease Neuroimaging Initiative, for the Aging Brain: Vasculature, Ischemia, and Behavior Study, the Alzheimer\u2019s Disease Repository Without Borders Investigators, for the European Prevention of Alzheimer\u2019s Disease (EPAD) Consortium<\/p>\n\n\n\n<p><strong>Abstract: <\/strong><\/p>\n\n\n\n<p>Background: Currently, Alzheimer\u2019s disease (AD) cohort datasets are difficult to find and lack across-cohort interoperability, and the actual content of publicly available datasets often only becomes clear to third-party researchers once data access has been granted. These aspects severely hinder the advancement of AD research through emerging data-driven approaches such as machine learning and artificial intelligence and bias current data-driven findings towards the few commonly used, well-explored AD cohorts. To achieve robust and generalizable results, validation across multiple datasets is crucial.<\/p>\n\n\n\n<p>Methods: We accessed and systematically investigated the content of 20 major AD cohort datasets at the data level. Both, a medical professional and a data specialist, manually curated and semantically harmonized the acquired datasets. Finally, we developed a platform that displays vital information about the available datasets.<\/p>\n\n\n\n<p>Results: Here, we present ADataViewer, an interactive platform that facilitates the exploration of 20 cohort datasets with respect to longitudinal follow-up, demographics, ethnoracial diversity, measured modalities, and statistical properties of individual variables. It allows researchers to quickly identify AD cohorts that meet user-specified requirements for discovery and validation studies regarding available variables, sample sizes, and longitudinal follow-up. Additionally, we publish the underlying variable mapping catalog that harmonizes 1196 unique variables across the 20 cohorts and paves the way for interoperable AD datasets.<\/p>\n\n\n\n<p>Conclusions: In conclusion, ADataViewer facilitates fast, robust data-driven research by transparently displaying cohort dataset content and supporting researchers in selecting datasets that are suited for their envisioned study. The platform is available at <a href=\"https:\/\/adata.scai.fraunhofer.de\/\">https:\/\/adata.scai.fraunhofer.de\/<\/a>.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>DOI:<\/strong> <a href=\"https:\/\/doi.org\/10.1186\/s13195-022-01009-4\" target=\"_blank\" rel=\"noreferrer noopener\">doi.org\/10.1186\/s13195-022-01009-4<\/a><\/p>\n\n\n\n<p>Published online:\u00a021 May 2022 in the journal Alzheimer&#8217;s Research &amp; Therapy<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&#8220;ADataViewer: exploring semantically harmonized Alzheimer\u2019s disease cohort datasets&#8221; Authors: Yasamin Salimi, Daniel Domingo-Fern\u00e1ndez, Carlos Bobis-\u00c1lvarez, Martin Hofmann-Apitius &amp; Colin Birkenbihl for the Alzheimer\u2019s Disease Neuroimaging Initiative, the Japanese Alzheimer\u2019s Disease Neuroimaging Initiative, for the Aging Brain: Vasculature, Ischemia, and Behavior Study, the Alzheimer\u2019s Disease Repository Without Borders Investigators, for the European Prevention of Alzheimer\u2019s Disease [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[],"class_list":["post-9894","post","type-post","status-publish","format-standard","hentry","category-publications"],"_links":{"self":[{"href":"https:\/\/ep-ad.org\/index.php\/wp-json\/wp\/v2\/posts\/9894","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ep-ad.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ep-ad.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ep-ad.org\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ep-ad.org\/index.php\/wp-json\/wp\/v2\/comments?post=9894"}],"version-history":[{"count":2,"href":"https:\/\/ep-ad.org\/index.php\/wp-json\/wp\/v2\/posts\/9894\/revisions"}],"predecessor-version":[{"id":10312,"href":"https:\/\/ep-ad.org\/index.php\/wp-json\/wp\/v2\/posts\/9894\/revisions\/10312"}],"wp:attachment":[{"href":"https:\/\/ep-ad.org\/index.php\/wp-json\/wp\/v2\/media?parent=9894"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ep-ad.org\/index.php\/wp-json\/wp\/v2\/categories?post=9894"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ep-ad.org\/index.php\/wp-json\/wp\/v2\/tags?post=9894"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}