Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
In today's dynamic technological environment, traditional metadata management strategies are increasingly inadequate amidst increased unpredictability. This article explores innovative approaches aimed at enhancing data value, accessibility, and integrity through the integration of blockchain, artificial intelligence (AI), and decentralized platforms. AI utilizes predictive analytics to tackle data issues and optimize metadata workflows. Blockchain technology provides a distributed database for visible, traceable, and immutable metadata management, thereby enhancing data security and authenticity. Decentralized systems distribute metadata across numerous servers, bolstering resilience against faults and cyber-attacks. Industry case studies shed light on the advantages and disadvantages of these advanced approaches, including considerations of interoperability and the need for established protocols. Ultimately, these state-of-the-art solutions are deemed essential for effectively managing metadata in unpredictable scenarios, thereby enhancing data security, reliability, and operational efficiency.
Keywords:
Metadata Management, AI, Blockchain, Decentralized Systems, Data Integrity, Uncertainty, Predictive Analytics, Smart Contracts, Data Security.
Cite Article:
"Innovative Approaches to Metadata Management in Times of Uncertainty", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 7, page no.a332-a339, July-2025, Available :http://www.ijrti.org/papers/IJRTI2507039.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator