Tools and AI¶
| Project | Lead | Description | Status |
|---|---|---|---|
| CODATA Fundamental Constants API | Pascal Heus | REST API providing programmatic access to CODATA fundamental physical constants and digital unit metadata. | Live GitHub |
| CODATA Fundamental Constants Repository | Pascal Heus | Source data, schemas, and processing tools for the CODATA Fundamental Constants values published by NIST. | GitHub |
| Units of Measurement Interoperability Service (UMIS) | Stuart Chalk | Web services and APIs for digital unit representation, validation, and crosswalk translation to improve data interoperability across scientific domains. | Proof of Concept |
| Units and Quanties for Machine Learning | Pascal Heus | A machine learning dataset and benchmark for units, quantities, and fundamental constants | Prototype |
Papers in Development¶
Conferences / Events¶
Publications¶
Stop squandering data: make units of measurement machine-readable
Hanisch, R., Chalk, S., Coulon, R., Cox, S., Emmerson, S., Sandoval, F. J. F., Forbes, A., Frey, J., Hall, B., Hartshorn, R., Heus, P., Hodson, S., Hosaka, K., Hutzschenreuter, D., Kang, C.-S., Picard, S., & White, R. (2022). Stop squandering data: make units of measurement machine-readable. Nature, 605(1), 222–224. https://www .nature .com /articles /d41586 -022 -01233-w