CIRSS - Research Areas “Data “Data-driven Digital Humanities Data Analytics

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.

CIRSS - Research Areas

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

News

February 9, 2021

Ludäscher to present keynote at reusable research webinar

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February 21, 2020

iSchool researchers organize provenance workshop in Ireland

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September 24, 2019

iSchool researchers present at ro2019

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September 17, 2019

Underwood to discuss machine learning at Sawyer Seminar

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Events

Past

CIRSS Seminar

Reasoning with multiple data streams: An expert informed logic-based approach to improve data and model fidelity in Geoscience

Leader(s): Donald A. Keefer, Ph.D. Student, Informatics, UIUC

Friday, April 16, 2021, 4pm–5pm

CIRSS Seminar

The Social Media Macroscope

Leader(s): Joseph T. Yun

Friday, April 9, 2021, 4pm–5pm