Computational Archival Science

Exploring the conjunction of emerging computational methods with big data and archival practice.

Research Projects

Digital Curation Fellows Program – National Agricultural Library
Principal Investigator(s): Katrina Fenlon
Funder: USDA Agricultural Research Service
Research Areas: Computational Archival Science > Data Science, Analytics, and Visualization > Library and Information Science
The Digital Curation Fellows program is a partnership with the National Agricultural Library (NAL) to provide students from across all iSchool programs with research and practical experience solving real-world digital curation challenges. Digital curation fellows have contributed to numerous initiatives during this program’s several-year history, such as developing digital preservation plans, researching user experience, evaluating metadata quality, assessing diversity and equity of representation in digital collections, building new digital archives, and creating data analytics dashboards.
DAM-Developing a Digital Asset Management System for the Archival Holdings of the Mary McLeod Bethune Council House National Historic Site
Principal Investigator(s): Richard Marciano
Funder: USDOI National Park Service
Research Areas: Computational Archival Science > Digital Humanities > Information Justice, Human Rights, and Technology Ethics
Creating a cutting-edge Digital Asset Management System with the National Park Service (NPS) to preserve and manage the digital assets of the Mary McLeod Bethune Council House National Historic Site.

Staff