DataDiscoveryLab is a software tool that enables users to recommend possible pathways to their research with references by extracting valuable insights from academic articles by parsing them into text and figures and processing the image data using computer vision algorithms. The software creates two databases for text-based purposes, one for titles, figure captions, and references, and another for abstracts, introductions, methods, and results using NLP techniques. The software then compares these databases to users' research questions, finds similarities, and presents the findings. Additionally, the software takes data from researchers' scientific software and devices to compare with the current figure-based databases, creating a loop until the best answer and pathways to research and articles to recommend can be found. This tool provides valuable insights and context for researchers, helping them make informed decisions about their research.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
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