{"id":3449,"date":"2025-11-25T07:00:50","date_gmt":"2025-11-25T07:00:50","guid":{"rendered":"https:\/\/cubig.ai\/blogs\/?p=3449"},"modified":"2026-03-29T05:42:12","modified_gmt":"2026-03-29T05:42:12","slug":"why-public-institutions-need-dts-for-safe-data-opening-utilizationfeat-2025-public-data-provision-data-driven-administration-evaluation-guidelines","status":"publish","type":"post","link":"https:\/\/cubig.ai\/blogs\/why-public-institutions-need-dts-for-safe-data-opening-utilizationfeat-2025-public-data-provision-data-driven-administration-evaluation-guidelines","title":{"rendered":"Why Public Institutions Need DTS for Safe Data Opening &amp; Utilization(feat. 2025 Public Data Provision &amp; Data-Driven Administration Evaluation Guidelines)"},"content":{"rendered":"\n<div class=\"wp-block-rank-math-toc-block\" id=\"rank-math-toc\"><h2>Table of Contents<\/h2><nav><ul><li><a href=\"#why-is-public-sector-data-so-hard-to-use-\ud83e\udd14\">Why Is Public-Sector Data So Hard to Use? \ud83e\udd14<\/a><\/li><li><a href=\"#the-data-is-secure-but-we-cant-analyze-it-\ud83d\udcc9\">\u201cThe Data Is Secure\u2026 but We Can\u2019t Analyze It\u201d \ud83d\udcc9<\/a><\/li><li><a href=\"#how-can-public-institutions-reduce-long-review-procedures-\u23f1\ufe0f\">How Can Public Institutions Reduce Long Review Procedures? \u23f1\ufe0f<\/a><\/li><li><a href=\"#public-sector-data-comes-in-many-forms-\ud83d\udcca-\ud83d\udcc4-\ud83d\udcf7-\ud83d\udcc8\">Public-Sector Data Comes in Many Forms \ud83d\udcca\ud83d\udcc4\ud83d\udcf7\ud83d\udcc8<\/a><\/li><li><a href=\"#synthetic-data-in-no-outbound-environments-\ud83d\udd12\">Synthetic Data in \u201cNo-Outbound\u201d Environments \ud83d\udd12<\/a><\/li><li><a href=\"#a-clear-signal-synthetic-data-is-now-recognized-in-public-data-evaluation-\ud83d\udcd8\">A Clear Signal: Synthetic Data Is Now Recognized in Public Data Evaluation \ud83d\udcd8<\/a><\/li><\/ul><\/nav><\/div>\n\n\n\n<p>Hello, this is CUBIG \u2014 a company dedicated to unlocking data that has long been inaccessible. \ud83d\ude0e<\/p>\n\n\n\n<p>In 2026, the standards for public-sector data utilization are changing.<br>This year\u2019s Public Data Provision &amp; Data-Driven Administration Evaluation Guidelines have added <strong>\u201cPseudonymized Data Provision &amp; Synthetic Data Sharing\u201d<\/strong> as a <strong>bonus scoring item<\/strong>.<br>This means public institutions are no longer evaluated solely on how much data they disclose. The focus is shifting toward <strong>how safely and effectively the data can be transformed and reused<\/strong>.<br>As a result, <strong>synthetic data is becoming an increasingly important tool for public-sector data operations.<\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"why-is-public-sector-data-so-hard-to-use-\ud83e\udd14\">Why Is Public-Sector Data So Hard to Use? \ud83e\udd14<\/h2>\n\n\n\n<p>Public institutions handle highly sensitive information collected through administrative processes:<br>addresses, contact details, family data, health information, welfare records, consultation logs \u2014 the list goes on.<\/p>\n\n\n\n<p>These datasets hold tremendous value, but they are <strong>extremely difficult to analyze or share<\/strong>, especially outside the organization.<\/p>\n\n\n\n<p>Traditional synthetic data technologies rely on <strong>directly learning from the original data<\/strong>, which may leave subtle traces of the source. In the event of a model attack or malfunction, it becomes difficult to rule out the possibility of exposure.<\/p>\n\n\n\n<p>DTS fundamentally avoids this risk.<br>It is built on a <strong>non-access architecture<\/strong>, meaning the model never sees the original data in the first place. Combined with <strong>Differential Privacy (DP)<\/strong>, DTS satisfies the strict security requirements of public institutions.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"the-data-is-secure-but-we-cant-analyze-it-\ud83d\udcc9\">\u201cThe Data Is Secure\u2026 but We Can\u2019t Analyze It\u201d \ud83d\udcc9<\/h2>\n\n\n\n<p>A Common Challenge in Public Institutions<\/p>\n\n\n\n<p>This phrase is something we hear often in the public sector.<br>During conventional de-identification, important information is deleted. This increases missing values, worsens bias, removes rare cases, and breaks structural relationships \u2014 ultimately making the dataset unsuitable for analysis or AI development.<\/p>\n\n\n\n<p>DTS takes a different approach.<\/p>\n\n\n\n<p><br>It is not simply a tool for removing personal information.<br>During synthetic generation, DTS automatically performs:<\/p>\n\n\n\n<p><strong>\u2022 Missing-value rebuilding<br>\u2022 Rare-class reconstruction<br>\u2022 Bias mitigation<br>\u2022 Attribute regeneration<\/strong><\/p>\n\n\n\n<p>The result is <strong>AI-ready synthetic data<\/strong> that is often more usable than the original data for analysis, modeling, and research.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"572\" src=\"https:\/\/cubig.ai\/blogs\/wp-content\/uploads\/2025\/11\/\ucc28\ud2b8-\uadf8\ub9bc-1-1024x572.png\" alt=\"\" class=\"wp-image-3452\" srcset=\"https:\/\/cubig.ai\/blogs\/wp-content\/uploads\/2025\/11\/\ucc28\ud2b8-\uadf8\ub9bc-1-1024x572.png 1024w, https:\/\/cubig.ai\/blogs\/wp-content\/uploads\/2025\/11\/\ucc28\ud2b8-\uadf8\ub9bc-1-300x167.png 300w, https:\/\/cubig.ai\/blogs\/wp-content\/uploads\/2025\/11\/\ucc28\ud2b8-\uadf8\ub9bc-1-768x429.png 768w, https:\/\/cubig.ai\/blogs\/wp-content\/uploads\/2025\/11\/\ucc28\ud2b8-\uadf8\ub9bc-1.png 1376w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"how-can-public-institutions-reduce-long-review-procedures-\u23f1\ufe0f\">How Can Public Institutions Reduce Long Review Procedures? \u23f1\ufe0f<\/h2>\n\n\n\n<p>Data sharing in the public sector typically requires:<\/p>\n\n\n\n<p>\u2022 Security review<br>\u2022 Re-identification risk assessment<br>\u2022 Legal review<br>\u2022 Multi-step internal approvals<\/p>\n\n\n\n<p>These processes often take months.<\/p>\n\n\n\n<p>DTS shortens this cycle.<br>When synthetic data is generated, DTS automatically produces a <strong>SynData Validation Report<\/strong>, which includes:<\/p>\n\n\n\n<p><strong>\u2022 Statistical similarity metrics<br>\u2022 AI model performance comparison<br>\u2022 Re-identification risk score<br>\u2022 Structural suitability checks<\/strong><\/p>\n\n\n\n<p>Even institutions without dedicated data specialists can make quick, informed decisions about data utilization.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"public-sector-data-comes-in-many-forms-\ud83d\udcca-\ud83d\udcc4-\ud83d\udcf7-\ud83d\udcc8\">Public-Sector Data Comes in Many Forms \ud83d\udcca\ud83d\udcc4\ud83d\udcf7\ud83d\udcc8<\/h2>\n\n\n\n<p>DTS Handles All of Them<\/p>\n\n\n\n<p>Government data isn\u2019t limited to structured tables.<br>It includes:<\/p>\n\n\n\n<p>\u2022 Unstructured complaints and documents (text)<br>\u2022 Administrative statistics (tables)<br>\u2022 CCTV footage and inspection images (images)<br>\u2022 City-scale sensor streams (time-series)<\/p>\n\n\n\n<p>Most synthetic data tools only support <strong>one<\/strong> of these data types, requiring several separate systems.<\/p>\n\n\n\n<p>DTS supports <strong>all major data formats within a single framework<\/strong> \u2014 tables, text, images, and time-series.<br>This makes data operations more efficient and reduces the need for multiple systems.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"synthetic-data-in-no-outbound-environments-\ud83d\udd12\">Synthetic Data in \u201cNo-Outbound\u201d Environments \ud83d\udd12<\/h2>\n\n\n\n<p>A Practical Option for Public Institutions<\/p>\n\n\n\n<p>Most public institutions operate in <strong>network-segmented environments<\/strong> where external data transfer is restricted.<br>Traditional synthetic data solutions often require:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Uploading original data to an external server, or<\/li>\n\n\n\n<li>Importing an external model into the secured environment.<\/li>\n<\/ol>\n\n\n\n<p>Both are difficult \u2014 and sometimes impossible \u2014 in the public sector.<\/p>\n\n\n\n<p>DTS solves this problem.<br>Its non-access architecture allows synthetic data to be generated <strong>within internal infrastructure<\/strong>, without moving original data outside.<br>Institutions handling highly sensitive data can safely create and share synthetic data internally and even collaborate with other organizations.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"a-clear-signal-synthetic-data-is-now-recognized-in-public-data-evaluation-\ud83d\udcd8\">A Clear Signal: Synthetic Data Is Now Recognized in Public Data Evaluation \ud83d\udcd8<\/h2>\n\n\n\n<p>The 2025 evaluation guidelines explicitly include <strong>\u201cPseudonymized Data Provision &amp; Synthetic Data Sharing\u201d<\/strong> as a bonus scoring item.<br>This indicates an institutional shift toward recognizing <strong>safe data transformation and utilization<\/strong>, not just raw disclosure.<\/p>\n\n\n\n<p>As institutions balance data security with scoring performance, synthetic data provides an alternative that satisfies both needs.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/postfiles.pstatic.net\/MjAyNTExMjVfOTUg\/MDAxNzY0MDUyNDUzMDAx.L-yCV9f37oylExWNTU3O09gH34EWSVJf5TXv8or7Lq8g.srSnIASxff6tYEXyE_W68D-g3IKPwwQNX_V5W6eId1sg.PNG\/%EC%A3%BC%EC%8B%9D%ED%9A%8C%EC%82%AC_%ED%81%90%EB%B9%85_%EB%B0%B0%ED%98%B8,%EC%A0%95%EB%AF%BC%EC%B0%AC_%EC%A0%9C%ED%92%88%EC%82%AC%EC%A7%84_dts.png?type=w966\"\/><\/figure>\n\n\n\n<p><strong>DTS supports public institutions by addressing the recurring challenges they face:<\/strong><\/p>\n\n\n\n<p>\u2022 Limitations due to sensitive information<br>\u2022 Low data quality after de-identification<br>\u2022 Long and complex approval procedures<br>\u2022 Multiple data formats<br>\u2022 Network isolation and no-export environments<\/p>\n\n\n\n<p>While every institution has different priorities, DTS is a practical option for those considering synthetic data for safer, faster, and more efficient public-sector data operations.<\/p>\n\n\n\n<p>If you would like tailored guidance, feasibility assessment, or a DTS demo for your environment, we\u2019re here to help.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/cubig.ai\/dts?utm_source=nvlog&amp;utm_medium=nvlog&amp;utm_campaign=nvlog&amp;utm_term=nvlog&amp;utm_content=nvlog\"><img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"200\" src=\"https:\/\/cubig.ai\/blogs\/wp-content\/uploads\/2025\/11\/en-1.png\" alt=\"\" class=\"wp-image-3455\" srcset=\"https:\/\/cubig.ai\/blogs\/wp-content\/uploads\/2025\/11\/en-1.png 900w, https:\/\/cubig.ai\/blogs\/wp-content\/uploads\/2025\/11\/en-1-300x67.png 300w, https:\/\/cubig.ai\/blogs\/wp-content\/uploads\/2025\/11\/en-1-768x171.png 768w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" \/><\/a><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Hello, this is CUBIG \u2014 a company dedicated to unlocking data that has long been inaccessible. \ud83d\ude0e In 2026, the standards for public-sector data utilization are changing.This year\u2019s Public Data Provision &amp; Data-Driven Administration Evaluation Guidelines have added \u201cPseudonymized Data Provision &amp; Synthetic Data Sharing\u201d as a bonus scoring item.This means public institutions are no [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":3450,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"rank_math_title":"","rank_math_description":"","rank_math_focus_keyword":"","rank_math_canonical_url":"https:\/\/cubig.ai\/blogs\/why-public-institutions-need-dts-for-safe-data-opening-utilizationfeat-2025-public-data-provision-data-driven-administration-evaluation-guidelines\/","rank_math_facebook_title":"Why Public Institutions Need DTS for Safe Data Opening &amp; Utilization(feat. 2025 Public Data Provision &amp; Data-Driven Administration Evaluation Guidelines)","rank_math_facebook_description":"","rank_math_facebook_image":"https:\/\/cubig.ai\/blogs\/wp-content\/uploads\/2025\/11\/33.png","rank_math_twitter_use_facebook":"on","rank_math_schema_Article":"","rank_math_robots":"","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[412,1],"tags":[92,60,68,74,90,86,88,82,84],"class_list":["post-3449","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-strategy","category-category","tag-alingovernment","tag-cubig","tag-datainnovation","tag-dataprivacy","tag-datasafety","tag-dts","tag-governmentai","tag-publicdata","tag-syntheticdata"],"jetpack_featured_media_url":"https:\/\/cubig.ai\/blogs\/wp-content\/uploads\/2025\/11\/33.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/cubig.ai\/blogs\/wp-json\/wp\/v2\/posts\/3449","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cubig.ai\/blogs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cubig.ai\/blogs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cubig.ai\/blogs\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/cubig.ai\/blogs\/wp-json\/wp\/v2\/comments?post=3449"}],"version-history":[{"count":2,"href":"https:\/\/cubig.ai\/blogs\/wp-json\/wp\/v2\/posts\/3449\/revisions"}],"predecessor-version":[{"id":3465,"href":"https:\/\/cubig.ai\/blogs\/wp-json\/wp\/v2\/posts\/3449\/revisions\/3465"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cubig.ai\/blogs\/wp-json\/wp\/v2\/media\/3450"}],"wp:attachment":[{"href":"https:\/\/cubig.ai\/blogs\/wp-json\/wp\/v2\/media?parent=3449"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cubig.ai\/blogs\/wp-json\/wp\/v2\/categories?post=3449"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cubig.ai\/blogs\/wp-json\/wp\/v2\/tags?post=3449"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}