GSLIS is renowned for our world-class, groundbreaking research program. Our faculty, staff, and students are leaders in the field, recognized for their expertise and the impact of their scholarly contributions. They are engaged in cutting-edge research projects and receive grants from some of the nation’s most prestigious funders, including the Andrew W. Mellon Foundation, Institute of Museum and Library Services, National Endowment for the Humanities, and National Science Foundation. Currently, our grant-funded research portfolio totals more than $8 million in award dollars.
Our research enterprise is collaborative, involving not only GSLIS faculty, staff, and students but also interdisciplinary partners on campus and beyond. Each year, our faculty appoint a group of research fellows from around the world, who are chosen for the relevance of their work to our current research. Our faculty and students work closely with area businesses in our Corporate Roundtable to discuss and solve information-science related challenges; corporate members include Abbott, Caterpillar Inc., John Deere, and State Farm Insurance Companies. Our three research centers reflect the collaborative, interdisciplinary nature of our work and provide opportunities for student engagement with real-world impact.
Research at GSLIS is well supported by our Office of Research Services. Areas of assistance include but are not limited to grant proposal development, project planning and management, and research computing. These activities contribute to the success of our research program and its reputation for excellence in the field of library and information science.
Many GSLIS research papers and publications are available online at IDEALS.
- Capisco: Semantic Analysis of Documents from the HathiTrust Corpus (Recently added)
- Distributed Metadata Correction and Annotation (Recently added)
- VisualPage: Workset Creation through Image Analysis of Document Pages (Recently added)
- ElEPHãT: Early English Print in the HathiTrust, a Linked Semantic Worksets Prototype (Recently added)
- Supporting data production description: an exploration of metadata standards (Recently added)