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The Metadata Research Center, located at the Howley College of Engineering and Computing, Drexel University, leads and innovates metadata solutions for pressing information/data-oriented challenges. Metadata, semantics, and ontologies are vital for effectively and efficiently using and manipulating data. The MRC is committed to advancing research in these areas, formalizing metadata-driven methods and approaches, and vitalizing our capacities for using data across all sectors. Read More
News & Events
New awards: MRC joins Purdue researchers on new NSF Intelligent Codesign Cloud Lab for Non-Equilibrium and Low-Dimensional Materials (ICoN-PCL), and leads the IMLS supported CAMP-250: Computational Archival Science and Metadata in Practice for America 250 .
IEEE Big Data 2026 key workshop calls, see: 6th Workshop on Knowledge Graphs and Big Data (hybrid) and 11th Computational Archival Science (CAS) workshop.
Christopher Rauch attended the 2026 NSF Harnessing the Data Revolution (HDR) Ecosystem Conference August 2026, presenting on MatSci-SAM for ID4.
Recent Publications
Greenberg, J., Pepper, J., Zhao, X., Marciano, R., Breen, D., and An, Y. (2026). The metadata ecosystem and AI: Enabling FAIR and AI-ready data. AI Magazine 47: e70060. https://doi.org/10.1002/aaai.70060
McClellan, S., Ireland, A., Gerber, C., Pepper, J., Rauch, C.B., Kelly, M., Kunze, J. and Greenberg, J. (2026). MatSci-YAMZ: Integrating Human and Artificial Intelligence Vocabulary. Data Science Journal, 25 (1), p. 23. https://doi.org/10.5334/dsj-2026-023.
Cebecauer, M., Dembska, M., Goldbeck, G., Greenberg, J., …McClellan, S., …& Trautt, Z. RDA Harmonised Terminologies and Schemas for FAIR Data in Materials Science and Related Domains WG. (2026). Final Report and Recommendations. Research Data Alliance. https://doi.org/10.15497/RDA00158
Employment Opportunities
Undergraduate HCI Programmer: YAMZ Crowdsourced Vocabulary Builder