Nuvolos streamlines the whole workflow at the university clinic Frankfurt

Nuvolos saves 100+ hours per researcher yearly by streamlining the setup and implementation of research projects
The platform transforms the quality of research work by enabling new forms of collaboration and sharing
The unique operating system architecture guarantees accessibility and ease of use even for less technically skilled colleagues
The Challenge
For Prof. Andreas Chiocchetti and his team studying translational child psychiatry at the university hospital of the Goethe-Universität Frankfurt, the goal is to discover the molecular signatures underlying neuronal development in psychiatry that produce psychiatric disorders or irregularities in children (including autism and ADHD). Besides wet lab work, this involves a large amount of data processing through machine learning and applying established models to the data.
To do this efficiently, Chiocchetti and his team need to be able to smoothly run analysis in R and Python, coordinate research tasks across the team, and work from anywhere. This requires a solution for productive collaboration, so they can make the most of teamwork on data - without being hindered by unnecessarily complexity and overhead from compute infrastructure or third-party tooling (e.g. Git).
The Solution
For the Chiocchetti lab, Nuvolos has been a game-changer. As the operating system for data science, Nuvolos allows researchers to use their favourite tools in their preferred environment. This means Prof. Chiocchetti and his team can work across tech stacks in a fast and intuitive manner. The complexity usually associated with working from different locations with different IDEs and different hardware is removed, freeing up time and capacity for more sophisticated research work. Moreover, Nuvolos allows Prof. Chiocchetti to keep these working environments consistent, ensuring any scripts or pipelines previously used will also function on new data. In this way, Nuvolos transforms the quality of collaboration and reproducibility for the entire data science workflow.
But Nuvolos also benefits the management side. As Principal Investigator, Prof. Chiocchetti can supervise and steer research work from any location, interacting directly with the code and results produced by junior members of the team. He can reproduce work, provide direct comments, use version control, and perform all other necessary management in the same interface where the research itself is carried out. For research management, Nuvolos represents a transformation in efficiency and ease of use, made possible by its comprehensive and modular design.
The Outcome
For Prof. Chiocchetti and his team, Nuvolos has streamlined the whole research workflow for translational child psychiatry. The ease and speed with which work can be shared for collaboration among the team allows the whole team to make the most of the data, and sharing workloads and results with less technically skilled colleagues or team collaborators is no problem at all. Skill barriers no longer stand in the way of capturing the value of data, which encourages new forms of experimentation. Moreover, by removing complexity and wasted time when running tools and setting up new workloads, Nuvolos also saves the team hundreds of hours per year on starting new projects.
And that's not all. Nuvolos even improves the workflow for education. Prof. Chiocchetti saves considerable time and effort on troubleshooting, setup, and maintenance across different working environments when teaching, thanks to the robustness and reproducibility Nuvolos offers by design.
This is why Prof. Chiocchetti recommends Nuvolos: "You simply have the fastest setup that you can customise and reproduce at any time. Moreover, Nuvolos allows much more collaboration across all the different fields of our research. Nuvolos is unprecedented in reducing the complexity associated with data-driven research like ours, fundamentally transforming our productivity and the quality of the way we work."