{"version":"1.0","provider_name":"Data for Public Good","provider_url":"https:\/\/dataforpublicgood.org.in\/cdpg","author_name":"CDPG","author_url":"https:\/\/dataforpublicgood.org.in\/cdpg\/author\/iudx\/","title":"Defining Metrics to Assess the Quality of Data - Data for Public Good","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"JftDhxjYRB\"><a href=\"https:\/\/dataforpublicgood.org.in\/cdpg\/blog\/defining-metrics-to-assess-the-quality-of-data\/\">Defining Metrics to Assess the Quality of Data<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/dataforpublicgood.org.in\/cdpg\/blog\/defining-metrics-to-assess-the-quality-of-data\/embed\/#?secret=JftDhxjYRB\" width=\"600\" height=\"338\" title=\"&#8220;Defining Metrics to Assess the Quality of Data&#8221; &#8212; Data for Public Good\" data-secret=\"JftDhxjYRB\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\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\/\/# sourceURL=https:\/\/dataforpublicgood.org.in\/cdpg\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","thumbnail_url":"https:\/\/dataforpublicgood.org.in\/cdpg\/wp-content\/uploads\/2022\/10\/Quality_Data.jpg","thumbnail_width":1144,"thumbnail_height":554,"description":"The data quality metrics that we choose for this evaluation must remain domain agnostic, since that will generalise applicability of the assessment framework to all temporal data sources irrespective of the application domain. At IUDX we are working to provide the user with metrics to measure data quality so that one can make an informed choice while developing applications."}