Selected works
Thomer AK, Wofford MF, Lenard MC, Dominguez Vidana S, Goring SJ (2023) Revealing Earth science code and data-use practices using the Throughput Graph Database. In: Ma X, Mookerjee M, Hsu L, et al. (eds) Recent Advancement in Geoinformatics and Data Science. Geological Society of America. DOI: 10.1130/2022.2558(10).
Thomer, A.K. (2022). Integrative data reuse at scientifically significant sites: Case studies at Yellowstone National Park and the La Brea Tar Pits. Journal of the Association for Information Science and Technology. https://doi.org/10.1002/asi.24620
Lafia, S, Thomer, AK, Bleckley, D, Akmon, D & Hemphill L. Leveraging Machine Learning to Detect Data Curation Activities. In Proceedings of IEEE 17th International Conference on eScience. https://doi.org/10.1109/eScience51609.2021.00025
Thomer, A. K., & Wickett, K. M. (2020). Relational data paradigms: What do we learn by taking the materiality of databases seriously? Big Data & Society, 7(1), 2053951720934838. https://doi.org/10.1177/2053951720934838
Thomer, A. K., Yoder, M. J., & Twidale, M. B. (2018). Transforming Taxonomic Interfaces: “Arm’s length” cooperative work and the maintenance of a long-lived classification system. Proceedings of the ACM on Human-Computer Interaction, 2 (CSCW), 173. https://doi.org/10.1145/3274442
Thomer, A. K., Weber, N. M., & Twidale, M. B. (2018). Supporting the long-term maintenance of natural history museum databases. Proceedings of the Association for Information Science and Technology.
Thomer, A. K., Wickett, K. M., Baker, K. S., Fouke, B. W., & Palmer, C. L. (2018). Documenting provenance in noncomputational workflows: Research process models based on geobiology fieldwork in Yellowstone National Park. Journal of the Association for Information Science and Technology. https://doi.org/10.1002/asi.24039