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About this Abstract
Meeting 2026 TMS Annual Meeting & Exhibition
Symposium Algorithms Development in Materials Science and Engineering
Presentation Title Making FAIR Data User-Friendly with Yabadaba
Author(s) Lucas M. Hale
On-Site Speaker (Planned) Lucas M. Hale
Abstract Scope FAIR data practices aim to ensure the longevity of data such that it can outlive any specific software applications. However, focusing on data over software can lead to a loss of accessibility at the end-user level as researchers must learn database-specific APIs and interpret the raw data themselves. The yabadaba Python package was created from the NIST Interatomic Potentials Repository project to help address these issues by making it easy for data-generators and database maintainers to build user-friendly APIs to their content. Designed with modularity in mind, yabadaba can interact with multiple database infrastructures, different data schemas, and simple and complex data value types. Examples will be shown how yabadaba enables public exploration of the potentials and calculations in the repository and forms the basis for a high throughput calculation infrastructure.
Proceedings Inclusion? Planned:
Keywords ICME, Computational Materials Science & Engineering,

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