{"id":336976,"date":"2025-01-25T23:18:46","date_gmt":"2025-01-25T22:18:46","guid":{"rendered":"https:\/\/glosarix.com\/?post_type=glossary&#038;p=336976"},"modified":"2026-11-09T08:57:52","modified_gmt":"2026-11-09T07:57:52","slug":"metadata-standards","status":"publish","type":"glossary","link":"https:\/\/glosarix.com\/en\/glossary\/metadata-standards\/","title":{"rendered":"Metadata Standards"},"content":{"rendered":"<p>Description: Metadata Standards are guidelines and specifications that allow for the creation and management of metadata, which are data that describe other data. In the context of databases, data engineering, and data lakes, these standards are fundamental to ensuring interoperability, quality, and accessibility of information. Metadata can include details about the origin, structure, format, and use of the data, which facilitates its search and analysis. The implementation of metadata standards helps organizations maintain rigorous control over their data assets, promoting transparency and information governance. Furthermore, these standards allow for the integration of data from various sources, which is especially relevant in big data and data lake environments, where data heterogeneity is the norm. In summary, Metadata Standards are essential for the efficient management of information in complex systems, ensuring that data is understandable and usable by different users and applications.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Description: Metadata Standards are guidelines and specifications that allow for the creation and management of metadata, which are data that describe other data. In the context of databases, data engineering, and data lakes, these standards are fundamental to ensuring interoperability, quality, and accessibility of information. Metadata can include details about the origin, structure, format, and [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"_acf_changed":false,"_yoast_wpseo_metadesc":"Metadata Standards are guidelines and specifications that allow for the creation and management of metadata, which are data that describe other data. In\u2026","glosarix_cat":"regulacion","footnotes":""},"glossary-categories":[13686],"glossary-tags":[],"glossary-languages":[],"class_list":["post-336976","glossary","type-glossary","status-publish","hentry","glossary-categories-technology-governance-and-regulation"],"post_title":"Metadata Standards","post_content":"Description: Metadata Standards are guidelines and specifications that allow for the creation and management of metadata, which are data that describe other data. In the context of databases, data engineering, and data lakes, these standards are fundamental to ensuring interoperability, quality, and accessibility of information. Metadata can include details about the origin, structure, format, and use of the data, which facilitates its search and analysis. The implementation of metadata standards helps organizations maintain rigorous control over their data assets, promoting transparency and information governance. Furthermore, these standards allow for the integration of data from various sources, which is especially relevant in big data and data lake environments, where data heterogeneity is the norm. 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