iSchool Center for Informatics Research in Science and Scholarship (CIRSS) University of Illinois

The activities of the iSchool Center for Informatics Research in Science and Scholarship (CIRSS) are aimed at advancing how scientists and scholars work with digital information and new technologies to support the dynamic interplay among information, people, and information systems. Current research and development areas include data curation and data lifecycle management; cyberinfrastructure systems and tools for data science; and knowledge representation and reasoning. Science and application domains are numerous and include biomedical and health informatics, ecoinformatics, geoinformatics, computational archaeology, astronomy, and digital humanities. CIRSS also helps lead the development and management of related pathways in the iSchool MS programs in Library and Information Science and Information Management.

Recent Publications

Budden, A. E., Jones, M. B., Ludaescher, B., & Vieglais, D. (2019, December). Beyond Bibliographic Citation: Provenance and Dependency Metadata for Complex Research Objects. In AGU Fall Meeting 2019. AGU. Read more

Guo, J., Blake, C., & Guan, Y. (2019). Evaluating automated entity extraction with respect to drug and non-drug treatment strategies. Journal of biomedical informatics, 94, 103177. Read more

Chard, K., Gaffney, N., Jones, M. B., Kowalik, K., Ludäscher, B., Nabrzyski, J., ... & Willis, C. (2019, June). Implementing computational reproducibility in the Whole Tale environment. In Proceedings of the 2nd International Workshop on Practical Reproducible Evaluation of Computer Systems (pp. 17-22). Read more

Li, L., Ludäscher, B., & Zhang, Q. (2019). Towards more transparent, reproducible, and reusable data cleaning with OpenRefine. iConference 2019 Proceedings. Read more

Blake, C., & Kehm, R. (2019). Comparing breast cancer treatments using automatically detected surrogate and clinically relevant outcomes entities from text. Journal of Biomedical Informatics: X, 1, 100005. Read more

Blake, C., Kim, J., Mathur, M., & Aggarwal, A. (2019). A gap analysis of survivorship terminology: Knowledge resources versus literature usage. Proceedings of the Association for Information Science and Technology, 56(1), 612-614. Read more

Lee, J., Blake, C., & McInnes, B. T. (2019). Evaluating ontology coverage and internal structure to better align patients with clinical trials. Proceedings of the Association for Information Science and Technology, 56(1), 157-165. Read more