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CIRSS Research Areas

The Center for Informatics Research in Science and Scholarship (CIRSS) conducts research on information problems that impact scientific and scholarly inquiry. Our projects and activities focus on how digital information can advance the work of scientists and scholars, the curation and analysis of research data, and the integration of information within and across disciplines and research communities. CIRSS helps lead the development and management of related pathways in the iSchool MS programs in Library and Information Science and Information Management, and in training biological information specialists as part of the campus-wide bioinformatics master’s program.

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.

More information about our core research areas is available at the links below.


 

Data Curation
Research and education initiatives focused on challenges associated with the curation and federation of digital collections for long-term distributed use. Work in this area relates to all parts of data lifecycle, including data cleaning, metadata standards and tools, end-user tool development, knowledge representation, and conceptual foundations.

Data Analytics
Research and education initiatives focused on the design, development and evaluation of new technologies to better understand the dynamic interplay between information, people and systems. Areas of expertise include data and text mining, knowledge discovery and collaboration, computational social science, and human-computer interaction.

Digital Humanities
Activities in this domain include research and education initiatives focused on data and data skills for humanists, as well as different aspects of electronic publishing, markup schemas, and text-mining and analysis. Current and past projects include tool development and community-building activities supporting text-mining of IP-restricted data; the development of sustainable scholar-driven digital scholarly publishing models in university libraries; music information retrieval; and data curation and text-mining training for humanities scholars.

Data-driven Science
Activities in this domain aim to improve information transfer and integration, technology development and sustainability, and collaboration in the practice of science. Several current cyberinfrastructure-focused projects involve collaborations with domain scientists, including the development of workflow software to automate and streamline the curation of biodiversity data; development of synthesis and analysis tools for environmental data; and tools for analyzing and visualizing volumetric data. Science and application domains are numerous and include biomedical and health informatics, ecoinformatics, geoinformatics, computational archaeology, and astronomy.