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<p>Advanced and rapid digitalization brings complex challenges in managing massive digital collections, necessitating well-defined attributes to uniquely identify and efficiently access, preserve, and retrieve digital objects. Metadata plays a vital role, providing structure, accessibility, and transformation potential alongside content. This study aims to create a comprehensive metadata set capturing all essential attributes of digital objects. In particular, many critical metadata elements required for effective news article management are not readily available within the sources. This study introduces a “Digital News Stories Preservation (DNSP)” framework with twenty-eight metadata elements: sixteen explicit and twelve implicit. These elements are categorized as optional, repeatable, explicit, or implicit and support robust news preservation. Implicit metadata is extracted directly from the content, enabling advanced search and linkage between related news articles within the “Digital News Stories Archive (DNSA).” The experimental results indicate that 55% of explicit metadata items and 65% of implicit metadata items were present across selected news sources. The study compares the proposed metadata against five established standards, highlighting unique elements and offering insights for enhanced news management and retrieval. The study explores metadata adoption for educational digital resources, detailing mappings to educational objectives and evaluating each metadata element’s educational effectiveness. By embedding these elements in digital platforms, news sources can improve content management, accessibility, and educational applications, supporting both media and academic environments.</p>

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A Comprehensive Metadata Framework for Preservation and Accessibility of Digital News and Educational Resource Management

  • 期刊论文

  • 发表日期：

    2025年5月2日

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  • Muzammil Khan,
  • Huma Rani,
  • Sana Ullah,
  • Arif Ur Rahman

摘要

Advanced and rapid digitalization brings complex challenges in managing massive digital collections, necessitating well-defined attributes to uniquely identify and efficiently access, preserve, and retrieve digital objects. Metadata plays a vital role, providing structure, accessibility, and transformation potential alongside content. This study aims to create a comprehensive metadata set capturing all essential attributes of digital objects. In particular, many critical metadata elements required for effective news article management are not readily available within the sources. This study introduces a “Digital News Stories Preservation (DNSP)” framework with twenty-eight metadata elements: sixteen explicit and twelve implicit. These elements are categorized as optional, repeatable, explicit, or implicit and support robust news preservation. Implicit metadata is extracted directly from the content, enabling advanced search and linkage between related news articles within the “Digital News Stories Archive (DNSA).” The experimental results indicate that 55% of explicit metadata items and 65% of implicit metadata items were present across selected news sources. The study compares the proposed metadata against five established standards, highlighting unique elements and offering insights for enhanced news management and retrieval. The study explores metadata adoption for educational digital resources, detailing mappings to educational objectives and evaluating each metadata element’s educational effectiveness. By embedding these elements in digital platforms, news sources can improve content management, accessibility, and educational applications, supporting both media and academic environments.