Category III: Next-Generation Metadata Management Infrastructure for Enabling Intelligent — NSF Award to College of William and Ma
Modern scientific progress in fields such as fusion energy, materials research, climate science, and biomedical imaging depends on researchers' ability to find and reuse the vast amounts of data produced across the national research ecosystem. National investments such as Globus and domain-specific data repositories ha
| Award title | Category III: Next-Generation Metadata Management Infrastructure for Enabling Intelligent |
|---|---|
| Award ID | 2609536 |
| Awardee | College of William and Mary |
| City | WILLIAMSBURG |
| State | VA |
| Amount obligated | $500,000 |
| Principal investigator | Jie Ren |
| Program | Data Cyberinfrastructure |
| Start date | 08/01/2026 |
| Abstract | Modern scientific progress in fields such as fusion energy, materials research, climate science, and biomedical imaging depends on researchers' ability to find and reuse the vast amounts of data produced across the national research ecosystem. National investments such as Globus and domain-specific data repositories have made scientific data transfer and storage efficient and reliable, but they were not designed to help researchers find data by its scientific meaning, and they do not provide the |
| Source | NSF Awards |
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