This paper explores the transformative potential of blockchain technology, Non-Fungible Tokens (NFTs), and the InterPlanetary File System (IPFS) in redefining academic knowledge management systems. Traditional systems, heavily reliant on physical and digital repositories and governed by librarian stewardship, are reassessed in light of emerging digital technologies. We propose an architectural framework that integrates blockchain, NFTs, and IPFS to address the limitations of traditional knowledge management, focusing on enhancing data security, copyright protection, and accessibility. This framework is evaluated using smart contracts implemented on four Ethereum Virtual Machine (EVM)-compatible platforms: Binance Smart Chain, Polygon, Fantom, and Celo, with a view to assess system performance, scalability, and cost-effectiveness. The study also extends to examining the deployment of academic and intellectual property data on the IPFS, facilitated by the Pinata platform. Our findings suggest that the integration of these technologies offers a more robust, secure, and efficient approach to managing and disseminating academic knowledge.

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Enhancing Knowledge Management Through Blockchain: The Integration of NFTs and IPFS in Distributed Ledgers

  • P. H. T. Trung,
  • L. K. Bang,
  • T. D. Khoa,
  • H. G. Khiem,
  • N. D. P. Trong,
  • V. C. P. Loc,
  • N. T. K. Ngan,
  • T. B. Duc

摘要

This paper explores the transformative potential of blockchain technology, Non-Fungible Tokens (NFTs), and the InterPlanetary File System (IPFS) in redefining academic knowledge management systems. Traditional systems, heavily reliant on physical and digital repositories and governed by librarian stewardship, are reassessed in light of emerging digital technologies. We propose an architectural framework that integrates blockchain, NFTs, and IPFS to address the limitations of traditional knowledge management, focusing on enhancing data security, copyright protection, and accessibility. This framework is evaluated using smart contracts implemented on four Ethereum Virtual Machine (EVM)-compatible platforms: Binance Smart Chain, Polygon, Fantom, and Celo, with a view to assess system performance, scalability, and cost-effectiveness. The study also extends to examining the deployment of academic and intellectual property data on the IPFS, facilitated by the Pinata platform. Our findings suggest that the integration of these technologies offers a more robust, secure, and efficient approach to managing and disseminating academic knowledge.