CoPAR has partnered with the University of Maryland College of Information on NSF-funded research (CA-SR award #2314762), which aims to identify, transform, and enhance findability of archival anthropological data using linked data technologies and inclusive metadata practices. To learn more about this research, please see the publications below:
Fenlon, Katrina, Lucy Havens, Diana E. Marsh, Nikki Wise, Ugoma Smoke, Candy Navarrete, Joseph Sioui, Desmond Mantle, and Amanda Sorensen. 2025. “Linked Data Workflows for Community Collections: Experiments with Open Access AI.” Proceedings of the Association of Information Sciences and Technology 62 (1): https://doi.org/10.1002/pra2.1246.
Marsh, Diana E, Katrina Fenlon, Amanda H Sorensen, and Nikki Wise. 2024. “Primary sources as linked data: Exploring motives across the sciences and social sciences.” Proceedings of the Association of Information Sciences and Technology 61 (1): 232-245. https://doi.org/10.1002/pra2.1023
Sorensen, Amanda H, Samantha Lee, Diana E. Marsh, Katrina Fenlon, and Ricardo L. Punzalan. 2023. “Reviving anthropology’s past: Digital archival access and ethical collaboration with Indigenous communities.” Anthropology Today 39: 11-14. https://doi.org/10.1111/1467-8322.12847