nanoHUB - Your Solution to FAIR Data Challenges

By Michael Zentner1; Alejandro Strachan2

1. Sustainable Scientific Software, San Diego Supercomputer Center, La Jolla, CA 2. Network for Computational Nanotechnology, Purdue University, West Lafayette, IN

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This short video introduces how nanoHUB can help those in the science community meet the challenges of making their data findable, accessible, interoperable, and reproducible (FAIR).    Through combined use of nanoHUB’s Sim2Ls and ResultsDB as well the opportunity to use AI to learn from results, users can bridge the gap between data creators and consumers and explore new scientific landscapes.  To learn more and get started, please access our short course: Getting Started Guide for nanoHUB Tool and App Developers

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Researchers should cite this work as follows:

  • Michael Zentner, Alejandro Strachan (2024), "nanoHUB - Your Solution to FAIR Data Challenges,"

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