Visualizing the World of Research with JoVE’s New Platform

Scientific methods are physical actions performed in real environments, with real materials, and real judgment calls. And we process them more effectively when we can follow the procedure step by step. It’s well established that we retain and comprehend information better when it is delivered through both words and visuals. This is especially true when precision, timing, and context matter—like in a laboratory.³

So why not give students and scientists more than a PDF when they’re learning new experiments?

Text has carried science forward for hundreds of years, but today a new way of understanding and reproducing research is here: JoVE Visualize. 

For the first time, the entire body of scientific literature can be seen, not just read. Powered by AI, the platform maps 40+ million peer-reviewed articles to JoVE’s library of 25,000+ videos, so that methods can be understood more clearly and replicated faster.

Each technique within a paper is matched to the most relevant JoVE video—whether a hands-on experiment or a foundational animated concept—and users can click through to the JoVE platform to view all related videos through their institutional subscription. 

Instead of wading through supplementary materials, unrelated YouTube videos, or email threads with the original authors, imagine reading about a novel technique and instantly eliminating any confusion by seeing a clear animation of the process in action or watching an experienced researcher carry out each step. 

JoVE Visualize supports reproducible science by enabling users to see exactly how experiments are performed. It’s a streamlined way to explore and interpret scientific literature, helping eliminate ambiguity, reduce experimental errors, and ensure methods can be confidently repeated across labs and disciplines.

Video accelerates comprehension, making complex techniques easier for students and early-career researchers to conquer and freeing up time for hypothesizing and analyzing. 

Even seasoned researchers face the frustration of ambiguous method descriptions that leave just enough out to compromise reproducibility. JoVE Visualize removes this hurdle and allows you to rapidly adopt new protocols, providing a new way to expand your technical repertoire and advance your lab and career.

Beyond support for individual researchers and labs, JoVE Visualize contributes to campus-wide efforts to improve research accessibility, reproducibility, and interdisciplinary collaboration. It raises the visibility of library resources and enhances the value of an institution’s JoVE subscription by offering faculty and students richer, more interactive ways to engage with research. In turn, it reinforces the library’s role as a central hub for learning and discovery.

By meeting the needs of multiple user groups, JoVE Visualize provides a shared solution that accelerates scientific progress across the academic community. 

Scientific advancement demands speed and precision, and research increasingly depends on the quick understanding and application of complex methods across disciplines and distances. True clarity and confidence in scientific work require more than just words on a page. 

Method sections have remained essentially unchanged for decades: static, textual, truncated, and often inaccessible to those who need them most. JoVE Visualize offers a dynamic gateway that connects the overwhelming world of scientific protocols with the clarity of visual explanation, offering a faster, clearer route to comprehension and mastery. 

Are you tired of endless trial and error, trying to make sense of long text? Research doesn’t need to be complicated. If you asked a friend how to do something, they’d simply show you. Learning in science should be just as easy.

Stop guessing and visualize it instead.

1. National Academies of Sciences, Engineering, and Medicine. (2019). Reproducibility and replicability in science. The National Academies Press. https://doi.org/10.17226/25303
   
2. Cobey, K. D., Ebrahimzadeh, S., Page, M. J., et al. (2024). Biomedical researchers’ perspectives on the reproducibility of research [Meta‑research article]. PLoS Biology, 22(11), e3002870. https://doi.org/10.1371/journal.pbio.3002870
3. Mayer, R. E. (2009). Multimedia Learning (2nd ed.) [Online publication June 2012]. Cambridge University Press. https://doi.org/10.1017/CBO9780511811678