To initiate a project within Rhino Health FCP, follow these steps:
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Login: Login to your Rhino Health FCP account.
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Access the Dashboard: Upon logging in, navigate to the FCP Dashboard, your command center for project management.
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Project Creation: Inside the Dashboard, find the option to create a new project. Assign a meaningful name and description, outlining the objectives and scope of your project.
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Define Data Schemas (Optional): If your project requires standardized data models, configure Data Schemas to enforce structured data relationships and formats.
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Add Datasets: Depending on your project's scope, import the relevant Datasets. These Datasets will be the foundation for your analyses and initiatives.
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Incorporate Code: Integrate your Code Objects—machine learning models, preprocessing code, or analysis algorithms—to drive the core functions of your project.
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Manage Code Runs: Monitor and assess the outcomes of your Code Runs within the designated Code Runs section. This is where you can access logs and insights from the computational executions.
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Invite Collaborators: If collaboration is pivotal to your project's success, extend invitations to collaborators. This step encourages knowledge sharing and collective expertise. Collaborators can import their own Datasets and contribute their own Code Objects, depending on the preferences set within the project permissions policy.
Managing and Monitoring Projects
Once a project is established, you'll discover a range of tools and features within the FCP Dashboard for effective project management. From cohort analytics to workflow orchestration and federated learning management, each feature enhances project efficacy and encourages seamless collaboration.
In summary, a project within Rhino Health FCP serves as a dynamic container for your collaborative computing and federated learning endeavors. By housing Datasets, Code Objects, Code Runs, Collaborators, and Data Schemas, Projects provide a structured framework for impactful research and innovation, all while upholding the highest standards of data privacy and security.