The advancement of research is highly dependent on the secure and transparent sharing of data among researchers. Traditional systems often face challenges such as improper checks, inefficiencies in collaboration, and lack of trust. This paper proposes a decentralized platform that uses blockchain technology and artificial intelligence to address these issues. Using ERC20 tokens to publish and access research data, the platform ensures that contributions are traceable and incentivized. AI-generated summaries provide a glimpse into each research publication, allowing users to request full access by paying a fee to the data owner. The system uses smart contracts to facilitate secure transactions and manage access, while a star-based reputation system fosters trust among users. Researchers can also stake and collaborate and contribute to existing data, with all interactions recorded on the blockchain. This platform offers a secure, transparent, and efficient solution for research collaboration, ensuring data integrity and accelerating scientific advancements.

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MedChain: Decentralized Medical Paper Sharing and Secure Collaboration with Blockchain-Based Access Control, Staking Mechanism, and AI-Driven Research Summaries

  • Aditi Narkar,
  • Tufayl Dalvi,
  • Aarya Paradkar,
  • Manas Mishra

摘要

The advancement of research is highly dependent on the secure and transparent sharing of data among researchers. Traditional systems often face challenges such as improper checks, inefficiencies in collaboration, and lack of trust. This paper proposes a decentralized platform that uses blockchain technology and artificial intelligence to address these issues. Using ERC20 tokens to publish and access research data, the platform ensures that contributions are traceable and incentivized. AI-generated summaries provide a glimpse into each research publication, allowing users to request full access by paying a fee to the data owner. The system uses smart contracts to facilitate secure transactions and manage access, while a star-based reputation system fosters trust among users. Researchers can also stake and collaborate and contribute to existing data, with all interactions recorded on the blockchain. This platform offers a secure, transparent, and efficient solution for research collaboration, ensuring data integrity and accelerating scientific advancements.