Open Data, Equitable Access
and AI Services for All
Building the nation’s federated data ecosystem.
Explore data. Run analyses. Transform AI education.
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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.
Soon you will be able to ...
Explore AI services and data collections
Search through a rich collection of open data and AI services spanning diverse applications.
Use and create data and AI services
Dive straight into the data within your browser and run analyses on scalable computing platforms.
Learn AI through data projects and challenges
Join activities hosted by professors and organizations and practice your AI skills using real-world data.
Host public or private educational activities or capstone projects
Host data projects to supplement your classroom teaching with applicable real world data.
Frequently viewed datasets
View Data CatalogFrequently used OKNs
View OKN CatalogSEPIO
The SEPIO ontology is in its early stages of development, undergoing iterative refinement as new requirements emerge and alignment with existing standards is explored.
ChEBI
Chemical Entities of Biological Interest, also known as ChEBI,[1][2] is a chemical database and ontology of molecular entities focused on 'small' chemical compounds, that is part of the Open Biomedical Ontologies (OBO) effort at the European Bioinformatics Institute (EBI). The term "molecular entity" refers to any "constitutionally or isotopically distinct atom, molecule, ion, ion pair, radical, radical ion, complex, conformer, etc., identifiable as a separately distinguishable entity".[3] The molecular entities in question are either products of nature or synthetic products which have potential bioactivity. Molecules directly encoded by the genome, such as nucleic acids, proteins and peptides derived from proteins by proteolytic cleavage, are not as a rule included in ChEBI. ChEBI uses nomenclature, symbolism and terminology endorsed by the International Union of Pure and Applied Chemistry (IUPAC) and nomenclature committee of the International Union of Biochemistry and Molecular Biology (NC-IUBMB).
WIFIRE-commons-ontology
The fire science ontology was developed with input from domain experts in fire science with a focus on concepts important for prescribed fires. Datasets in wifire commons are semantically tagged with terms from the ontology which aid in discoverability. As the BurnPro3d platform evolves and new datasets are added to wifire commons, the ontology will need to be augmented to accommodate the new semantic understanding. The ontology can also be visualized under “browse keywords” on the wifire commons front page.
Host projects and challenges through Educational Gateway
- Launching of class projects and data challenges through National cyberinfrastructure (CI) capabilities
- Access to open learning resources for Data Science, CI, and AI training
- Sample Jupyter Notebooks and Workflows to develop and participate in educational activities
Contact - ndp@sdsc.edu
The National Data Platform was funded by NSF 2333609 under CI, CISE Research Resources programs. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the funders.