Welcome to the Nightingale OS Platform
Connecting computational researchers with clinical health care data
Launch (NeurIPS 2021): Machine Learning from Ground Truth
When you register, you enter a queue for access to the data. We will grant access to researchers incrementally, starting in late December and picking up speed in January.
Before granting access, we'll ask you to provide the following:
- Contact information for a person at an academic institution who can verify your non-commercial use case for Nightingale OS /datasets
- Certificate of completion for a suitable training program in human research subject protections, such as the Collaborative Institutional Training Initiative (CITI) Program's Data or Specimens Only Research course
Our support team will verify your information, including reaching out to your institutional contact. We will admit people as quickly as we can. Please be patient as we ramp up computing capacity to meet user demand.
Work in a familiar environment
We designed the platform with extensive input from ML researchers. If you've used Python in JupyterLab, then you won't need to learn anything new. If you've ever spent weeks setting up a research environment for your lab, then you'll be shocked at how quickly you can get started in Nightingale OS and how easily you can onboard collaborators in your research projects.
Free cpu.xsmall instances
Once you are admitted to the platform, you will immediately get access to our free cpu.xsmall (CPU-only) compute instances with a Python environment in JupyterLab. You can use these instances to explore all of our exciting new datasets and plan your approach.
As a nonprofit, we are providing compute at as close to cost as we can. For researchers who need additional help, we are working with our funders to provide scholarships that ensure open, equitable access to use Nightingale data. Please tell us if you need assistance.