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Thus far there has been a challenge that stems from the lack of availability, non interoperability and non standard data formats that deterred from realising these benefits.<\/p><p>This challenge has been recognised by the National Geospatial Policy 2022 which envisages efficient access to the fundamental geospatial data available with various stakeholders in the country. The policy proposes a National Geospatial Data Registry (NGDR) as a centralized catalog for discovering and accessing geospatial data, and a Unified Geospatial Interface (UGI)\u2014a standards-based digital platform to enable querying and exchange of data from NGDR and its partner nodes.<\/p><p>The development of the Integrated Geospatial Data-sharing Interface (GDI) is a step towards that direction. The GDI is a standardized platform that integrates diverse sources of spatial data, tools, and services into a cohesive and accessible<br \/>interface. It aims to streamline access to geospatial information, promote interoperability across different systems, and facilitate seamless data sharing and analysis. By providing a unified access point, GDI enhances efficiency in geospatial data utilization, supports innovation in applications and services, and ensures consistency in data standards and protocols for users across various domains and industries. GDI provides a critical Digital Public Infrastructure (DPI) to readily access geospatial data through controlled access mechanisms.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-f2eab70 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f2eab70\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t\t\t<div class=\"elementor-row\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-b87a89a\" data-id=\"b87a89a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-column-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-205d2ac elementor-widget elementor-widget-shortcode\" data-id=\"205d2ac\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-shortcode\">\n            <div \n                class=\"elfsight-widget-file-embed elfsight-widget\" \n                data-elfsight-file-embed-options=\"%7B%22files%22%3A%5B%7B%22link%22%3A%22https%3A%5C%2F%5C%2Fdataforpublicgood.org.in%5C%2Fwp-content%5C%2Fuploads%5C%2F2025%5C%2F08%5C%2FIntegrating-GDI-to-mApp-Enterprise.pdf%22%2C%22name%22%3A%22Integrating%20GDI%20to%20mApp%20Enterprise%22%2C%22previewImage%22%3Anull%7D%5D%2C%22widgetTitle%22%3A%22Integrating%20GDI%20to%20mApp%20Enterprise%22%2C%22layout%22%3A%22viewer%22%2C%22showIcon%22%3Atrue%2C%22previewImageSize%22%3A30%2C%22showDownloadLink%22%3Atrue%2C%22downloadLinkText%22%3A%22Download%22%2C%22width%22%3A800%2C%22nameColor%22%3A%22rgb%2817%2C%2017%2C%2017%29%22%2C%22downloadColor%22%3A%22rgb%2828%2C%20145%2C%20255%29%22%2C%22backgroundColor%22%3Anull%2C%22fileBackgroundColor%22%3Anull%2C%22widgetTitleColor%22%3A%22rgb%2817%2C%2017%2C%2017%29%22%2C%22iconColor%22%3A%22%22%2C%22nameFontSize%22%3A15%2C%22downloadFontSize%22%3A13%2C%22widgetTitleFontSize%22%3A20%2C%22widgetId%22%3A%2248%22%7D\" \n                data-elfsight-file-embed-version=\"1.1.1\"\n                data-elfsight-widget-id=\"elfsight-file-embed-48\">\n            <\/div>\n            <\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<div style=\"margin-top: 0px; margin-bottom: 0px;\" class=\"sharethis-inline-share-buttons\" ><\/div>","protected":false},"excerpt":{"rendered":"<p>Website Abstract: Geospatial data analysis based on advanced machine learning techniques can help solve complex problems in multiple domains and help achieve the Sustainable Development Goals (SDG). Thus far there has been a challenge that stems from the lack of availability, non interoperability and non standard data formats that deterred from realising these benefits. This challenge has been recognised by &hellip;<\/p>\n","protected":false},"author":2,"featured_media":24243,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[96],"tags":[],"class_list":["post-24241","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-whitepaper"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.12 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Integrating GDI to mApp Enterprise - Data for Public Good<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dataforpublicgood.org.in\/cdpg\/whitepaper\/integrating-gdi-to-mapp-enterprise\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Integrating GDI to mApp Enterprise - Data for Public Good\" \/>\n<meta property=\"og:description\" content=\"Website Abstract: Geospatial data analysis based on advanced machine learning techniques can help solve complex problems in multiple domains and help achieve the Sustainable Development Goals (SDG). 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