Information and Archival Science Research Group


Archival and information science theories and methods hold abiding value for exploring knowledge-intensive aspects of society, such as cultural heritage (libraries, archives, and museums), academic scholarship, government, health, and education. Our interdisciplinary research group investigates complex socio-technical problems related to information and data curation, access, use, and discovery employing a range of qualitative and quantitative research methods.

Our members work in a variety of research areas:

    • Archival studies
    • Culturally and context-sensitive advancement of information literacy and education
    • Data literacy, curation, sharing, and reuse
    • Digitization of cultural heritage resources
    • Digital preservation and curation
    • Human rights and social justice
    • Information accessibility
    • Information quality
    • Information seeking behavior
    • Knowledge infrastructure
    • Museum informatics
    • The maker movement
    • Recordkeeping practices

Recent research:

Tamy Guberek and Velia Muralles (2019). Scaling Access to State Records of Repression: The Role of Digitalization in Guatemala’s Historic Archive of the National Police. Accepted and Forthcoming, International Journal of Transitional Justice.

Frank, R. D., Tyler, A. R. B., Gault, A., Suzuka, K., & Yakel, E. (2018). Issues of Privacy in Qualitative Data Reuse. International Journal of Digital Curation, 13(1).

Conway, P. & Askew, K. (2018). “From International Shortwave to Digital Rebroadcast: Transforming Music Time in Africa for a New Worldwide Audience.” IASA Journal Issue 48.

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.

Faniel, I., Kansa, S., Austin, A., Boytner, R., France, P, Jacobs, J.E., Kansa, E. and Yakel, E. (2018). Beyond the Archive: Bridging Data Creation and Reuse in Archaeology, Advances in Archaeological Practice 6/2.

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, 0(0).

York, J., Gutmann, M., & Berman, F. (2018). What Do We Know about the Stewardship Gap. Data Science Journal, 17, 19.

Frank, R. D., Chen, Z., Crawford, E., Suzuka, K., & Yakel, E. (2017). Trust in Qualitative Data Repositories. Proceedings of the Association for Information Science and Technology, 54(1), 102–111.