Skip to content

What is the National Data Platform ?

The National Data Platform, or NDP, is a federated and extensible data ecosystem to promote collaboration, innovation, and equitable 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:

Equitable 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?

Equitable and 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 equity of 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?
  • What are the required guardrails for protecting privacy, civil rights and civil liberties that will ensure a more equitable use of data systems and services?

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.