{"id":1878,"date":"2020-01-24T16:26:30","date_gmt":"2020-01-24T16:26:30","guid":{"rendered":"http:\/\/codata.org\/blog\/?p=1878"},"modified":"2020-01-24T16:26:30","modified_gmt":"2020-01-24T16:26:30","slug":"data-for-our-planet-increasing-the-use-and-value-of-global-information-infrastructures-to-support-resilient-cities-disaster-risk-reduction-and-infectious-diseases","status":"publish","type":"post","link":"https:\/\/codata.org\/blog\/2020\/01\/24\/data-for-our-planet-increasing-the-use-and-value-of-global-information-infrastructures-to-support-resilient-cities-disaster-risk-reduction-and-infectious-diseases\/","title":{"rendered":"Data for our planet: Increasing the use and value of global information infrastructures to support resilient cities, disaster risk reduction and infectious diseases"},"content":{"rendered":"<p><strong><a href=\"https:\/\/codata.org\/blog\/wp-content\/uploads\/2020\/01\/top_banner_main_l_new.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignright size-medium wp-image-1881\" src=\"https:\/\/codata.org\/blog\/wp-content\/uploads\/2020\/01\/top_banner_main_l_new-300x69.png\" alt=\"\" width=\"300\" height=\"69\" srcset=\"https:\/\/codata.org\/blog\/wp-content\/uploads\/2020\/01\/top_banner_main_l_new-300x69.png 300w, https:\/\/codata.org\/blog\/wp-content\/uploads\/2020\/01\/top_banner_main_l_new-768x176.png 768w, https:\/\/codata.org\/blog\/wp-content\/uploads\/2020\/01\/top_banner_main_l_new-624x143.png 624w, https:\/\/codata.org\/blog\/wp-content\/uploads\/2020\/01\/top_banner_main_l_new.png 1000w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a>SPEAKERS:<\/strong><\/p>\n<ul>\n<li>Erin Robinson \u2013 Earth Science Information Partners (ESIP)<\/li>\n<li>Dr Steven McEachern \u2013 Australian Data Archive, ANU<\/li>\n<li>Alena Rybkina \u2013 Committee on Data of the International Science Council (CODATA)<\/li>\n<li>John Broome \u2013 Committee on Data of the International Science Council (CODATA)<\/li>\n<li>Francoise Perlman \u2013 FourBridges<\/li>\n<li>Dr Ben Evans \u2013 National Computational Infrastructure (NCI)<\/li>\n<li>Magdalena Brus \u2013 Integrated Carbon Observation System (ICOS) European Research<\/li>\n<li>Infrastructure Consortium (ERIC), ENVRI<\/li>\n<\/ul>\n<p><strong>SUMMARY:<\/strong><\/p>\n<ul>\n<li>Building on the FAIR principles, this session explored a series of pilots and initiatives currently underway to develop data\u00a0infrastructures and to increase collaboration and access to the increasing surge of data currently being captured globally. There\u00a0has been some headway in the global north, but less in the global south.<\/li>\n<li>Collaboration was identified as a major obstacle to increase cross-institutional, multi-disciplinary and international access to de-fragment the data landscape.<\/li>\n<li>By improving the access and collaboration across disciplines, it will be possible to better address socioeconomic problems such\u00a0as responses to infectious diseases, disaster risk reduction and building resilient cities.<\/li>\n<li>Using the FAIR principles to unify data across a range of sources and data types requires the development of pilots to test how\u00a0this unification and inter-operability of data would be undertaken.<\/li>\n<li>It is important to recognize how different disciplines can offer insights to different data problems or questions, but still work\u00a0together to address larger societal problems.<\/li>\n<li>As the amount, quality and type of data available grows rapidly, it is equally important to ensure that the data infrastructure\u00a0grows with it in order to process it. At the moment, the infrastructure is somewhat lagging behind.<\/li>\n<li>By developing and investing in the data infrastructure, it is possible to make the data easier to access and use, and make the\u00a0data smarter and better targeted to the problems it is used to address. However, there are challenges for business models,\u00a0societal models and policy\/governance issues. Of serious concern is that the people working on the policy around data and data\u00a0infrastructure cannot keep up or understand the challenges.<\/li>\n<li>While there are many groups working towards de-siloing data and data infrastructure, there needs to be an umbrella approach to\u00a0avoid duplication of efforts and unify the approach. CODATA is leading the design and execution of a Decadal Programme that\u00a0will address the data interoperability challenge \u00a0identified in the International Science Council&#8217;s \u00a02019-2021 Action Plan. The\u00a0Decadal Program is currently being developed to address this issue and is seeking expressions of interest to help in its\u00a0development.<\/li>\n<li>The session brought together individuals from around the world and many different organisations who are interested in\u00a0addressing this concept of a multi-disciplinary, democratization of data.<\/li>\n<li>During discussion there was some concern regarding ethical issues around data accessibility and sharing that still needs to be\u00a0addressed.<\/li>\n<\/ul>\n<p><strong>QUOTES:<\/strong>\u00a0\u00a0John Broome (CODATA): <em>\u2018Partnerships will be critical. Clearly no one organisation can hope to achieve the overall goal.\u2019<\/em><\/p>\n<p><strong>ABSTRACT:<\/strong><br \/>\nAccessing and integrating data from heterogeneous sources is a significant barrier facing evidence-based responses to global\u00a0grand challenges. To address this ISC-CODATA is preparing an international, coordinating research program; ESIP has developed a\u00a0community of practice around earth science data standards; and ENVRI aims to align and share FAIR compliant in-situ data and\u00a0services. This workshop will 1) invite the GEO community to engage with these initiatives; 2) examine specific challenges relating\u00a0to data accessibility, interoperability and reusability (FAIR); and 3) examine these issues around a set of pilot case studies,\u00a0including infectious diseases, resilient cities and disaster risk reduction.<\/p>\n<p>Grand challenges need to access and integrate data from many different sources. Discovery and interoperability mechanisms are\u00a0frequently suboptimal. \u00a0Time and space is usually a key to integration, and remote sensing and in-situ Earth observation data play\u00a0a crucial role. \u00a0The session will allow detailed exploration of the issues in relation to case studies of significance to the GEO\u00a0community. \u00a0The workshop will explore the applicability and potential of the FAIR principles, \u2018fitness for use\u2019 criteria, Operational\u00a0Readiness Levels, alignment of metadata specifications, and data cubes to contribute towards the solutions needed to assist data\u00a0integration.<\/p>\n<p><strong><a href=\"https:\/\/codata.org\/blog\/wp-content\/uploads\/2020\/01\/blog2403-01.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-large wp-image-1879\" src=\"https:\/\/codata.org\/blog\/wp-content\/uploads\/2020\/01\/blog2403-01-1024x755.png\" alt=\"\" width=\"625\" height=\"461\" srcset=\"https:\/\/codata.org\/blog\/wp-content\/uploads\/2020\/01\/blog2403-01-1024x755.png 1024w, https:\/\/codata.org\/blog\/wp-content\/uploads\/2020\/01\/blog2403-01-300x221.png 300w, https:\/\/codata.org\/blog\/wp-content\/uploads\/2020\/01\/blog2403-01-768x566.png 768w, https:\/\/codata.org\/blog\/wp-content\/uploads\/2020\/01\/blog2403-01-624x460.png 624w, https:\/\/codata.org\/blog\/wp-content\/uploads\/2020\/01\/blog2403-01.png 1287w\" sizes=\"auto, (max-width: 625px) 100vw, 625px\" \/><\/a><\/strong><\/p>\n<p><strong>PRESENTATION:<\/strong><\/p>\n<p>Please find the presentation\u00a0<strong><a href=\"http:\/\/earthobservations.org\/uploads\/event_se\/804_decadal_programme_planning_slides5.pptx\">here<\/a><\/strong>.<\/p>\n<p>Organizers<\/p>\n<ul>\n<li>International Science Council &#8211; ISC<\/li>\n<li>CODATA \u2013 Committee on Data of the ISC<\/li>\n<li>ESIP &#8211; Earth Science\u00a0Information Partners (US)<\/li>\n<li>ARDC &#8211; Australian Research Data Commons<\/li>\n<li>The National Committee for\u00a0Data in Science (NCDiS) of the AAS &#8211; Australian Academy of science<\/li>\n<li>AuScope<\/li>\n<li>NCI &#8211; National\u00a0Computational Infrastructure (Australia)<\/li>\n<li>CSIRO (Australia)<\/li>\n<li>The European Environmental\u00a0Research Infrastructure Community (ENVRI<\/li>\n<\/ul>\n<p><strong>Contact<\/strong><\/p>\n<p>John Broome (CODATA), Erin Robinson (ESIP) (<a href=\"mailto:johnhbroome@gmail.com\" target=\"_blank\" rel=\"noopener\">johnhbroome@gmail.com<\/a>,\u00a0<a href=\"mailto:erinrobinson@esipfed.org\" target=\"_blank\" rel=\"noopener\">erinro<wbr \/>binson@esipfed.org<\/a>)<\/p>\n","protected":false},"excerpt":{"rendered":"<p>SPEAKERS: Erin Robinson \u2013 Earth Science Information Partners (ESIP) Dr Steven McEachern \u2013 Australian Data Archive, ANU Alena Rybkina \u2013 Committee on Data of the International Science Council (CODATA) John Broome \u2013 Committee on Data of the International Science Council (CODATA) Francoise Perlman \u2013 FourBridges Dr Ben Evans \u2013 National Computational Infrastructure (NCI) Magdalena Brus [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1878","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/codata.org\/blog\/wp-json\/wp\/v2\/posts\/1878","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/codata.org\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/codata.org\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/codata.org\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/codata.org\/blog\/wp-json\/wp\/v2\/comments?post=1878"}],"version-history":[{"count":1,"href":"https:\/\/codata.org\/blog\/wp-json\/wp\/v2\/posts\/1878\/revisions"}],"predecessor-version":[{"id":1882,"href":"https:\/\/codata.org\/blog\/wp-json\/wp\/v2\/posts\/1878\/revisions\/1882"}],"wp:attachment":[{"href":"https:\/\/codata.org\/blog\/wp-json\/wp\/v2\/media?parent=1878"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/codata.org\/blog\/wp-json\/wp\/v2\/categories?post=1878"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/codata.org\/blog\/wp-json\/wp\/v2\/tags?post=1878"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}