What is the National Data Platform ?
The National Data Platform, or NDP, is a federated and extensible data ecosystem to promote collaboration, innovation, and use of data on top of existing cyberinfrastructure capabilities.
NDP is envisioned as a broad data ecosystem to enable data-enabled and AI-integrated research and education workflows.
NDP is aimed to:
- Facilitate data registration, discovery and usage through a centralized hub
- Enhance distributed CI capabilities through distributed points of presence
- Cultivate resources for classroom education and data challenges
- Assist research and learning through personalized workspaces
Open Access
With the development of NDP, we aim to address the following questions:
Foundational Abstractions and Services
- What are the foundational data abstractions and services that can serve as multipurpose and expandable building blocks for data-driven and AI-integrated application patterns?
- How can everyone effectively access and utilize these abstractions and services?
Open CI Use
- How can such foundational data abstractions and services be developed and deployed on top of existing production-ready CI, including storage and the edge-to-HPC continuum?
- How can we ensure data access and use across distributed CI?
Needs, Requirements and Challenges
- What are the requirements and challenges for governance of open science, open data and open CI?
NDP Workflow
1. Federated access
Access NDP through your institutional credentials via CI Logon.
2. Data Discovery and Registration
Explore a diverse collection of datasets across various scientific domains, and contribute by registering your own data to enhance scientific workflows.
3. Workspace Design
Combine multiple data sources and code resources into a unified workspace.
4. Data Analysis - Processing - AI/ML Workflows Development
Launch your workspace in JupyterHub to streamline the development of data analysis, processing, and AI/ML workflows.
