| About this Abstract |
| Meeting |
TMS Specialty Congress 2025
|
| Symposium
|
Joint Sessions of AIM, ICME, & 3DMS
|
| Presentation Title |
Enhancing AI Readiness Through Data Stewardship, Modular Ontologies, and FAIR Data Workflows |
| Author(s) |
Balashanmuga Priyan Rajamohan, Kai Zheng, Van D. Tran, Nathaniel Hahn, Hayden Caldwell, Alexander Harding Bradley, Quynh D. Tran, Laura Bruckman, Yinghui Wu, Erika I. Barcelos, Roger H. French |
| On-Site Speaker (Planned) |
Balashanmuga Priyan Rajamohan |
| Abstract Scope |
The complexity of materials science data complicates collaboration and scientific progress due to inconsistent terminologies and formats. Our solution is an ecosystem for modular ontology development grounded in FAIR (Findable, Accessible, Interoperable, Reusable) principles. At its center is MDS Onto, a unified ontology harmonizing material science domains to reduce redundancy and enforce consistency. Our OntoPortal is an internal ontology repository that helps users select standardized terms when creating new ontologies. Additionally, the FAIRMaterials package enables scientists to develop domain-specific ontologies linked to the Basic Formal Ontology, supporting advanced reasoning. The package uses MDS Onto to generate data ingestion sheets that convert experimental data into FAIR-aligned Linked Data and offers an interactive web app, "Datapedia," for local datasets. This ecosystem fosters collaboration and innovation by enhancing data interoperability and establishing standardized ontology practices in materials science. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |