{"version":"1.0","provider_name":"International Science Council","provider_url":"https:\/\/council.science","author_name":"Zhenya","author_url":"https:\/\/council.science\/author\/zhenya\/","title":"Data and AI for science: Key considerations - International Science Council","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"07Hu5nLq28\"><a href=\"https:\/\/council.science\/publications\/data-and-ai-for-science\/\">Data and AI for science: Key considerations<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/council.science\/publications\/data-and-ai-for-science\/embed\/#?secret=07Hu5nLq28\" width=\"600\" height=\"338\" title=\"&#8220;Data and AI for science: Key considerations&#8221; &#8212; International Science Council\" data-secret=\"07Hu5nLq28\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/council.science\/wp-content\/uploads\/2025\/09\/photo_2025-09-08_11-10-51.jpg?_t=1759833584","thumbnail_width":1280,"thumbnail_height":720,"description":"This paper provides an overview of the technical, ethical and environmental factors to consider when preparing scientific data for artificial intelligence (AI), and how these factors align with the \u2018Open Science\u2019 movement. The information presented is relevant to researchers, data practitioners, scientific bodies and policy-makers for science."}