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The scientific research landscape is riddled with obstacles such as hype, hyperbole, publication bias, citation misdirection, and predatory publishing, all of which can lead to misinformation. Whether it’s through error or malintent, misinformation significantly impacts the credibility and integrity of research findings. These issues hamper the pace of scientific discovery, inhibit cross-disciplinary collaboration, and undermine public trust in science. In an era where humanity is grappling with critical issues like climate change and global pandemics, the need for reliable and accurate information is more pressing than ever and the ongoing knowledge revolution driven by AI tools will only amplify these challenges.
A trusted knowledge infrastructure like OriginTrail lends itself perfectly to address these critical issues. By transforming scientific research data and findings into interconnected Knowledge Assets, it provides verifiable data origin, ownership and discoverability using OriginTrail’s trusted knowledge infrastructure. The combination of these elements makes scientific data with trusted sources easier to find, while still protecting proprietary value for its owner. Connecting relevant Knowledge Assets further enables creation of a corpus of knowledge in a particular field (e.g. tracking citations). The trusted foundation created this way can be directly used by AI tools to achieve unprecedented access to knowledge for practical use at our fingertips.
The AI-powered framework uses Knowledge Assets as the underlying source of knowledge.
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Commission. Neither the European Union nor the granting authority can be held responsible for them. Funded within the framework of the NGI Search project under grant agreement No 101069364.