User story showcasing a real-world researcher's experience with data sharing in the Zenodo repository. This case study showcases how Zenodo enables transparent, reusable, and well‑documented research through the work of Mingzheng Wu and his team. Their project developed a fully implantable, wireless optogenetic encoder that generates artificial sensory perceptions by stimulating large cortical networks in real time. To support reproducibility and future innovation, the team shared their multimodal research outputs, including CAD designs, simulation scripts, and behavioral datasets, on Zenodo. This open dissemination ensures long‑term accessibility for future lab members, while empowering the broader neuroscience community to validate, adapt, and build upon their advances in wireless optogenetic and brain‑machine interface technologies Zenodo GREI User Stories are supported by the National Institutes of Health (NIH) Office of Data Science Strategy/Office of the NIH Director pursuant to OTA-21-009, “Generalist Repository Ecosystem Initiative (GREI)” through through Other Transactions Agreement (OTA) Number 1OT2DB000013.
Go et al. (Sat,) studied this question.