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Given the ever growing universe of information resources, informatics tools, and scholarly communication options that need to be understood, assessed, and coordinated, the e-Science initiatives at CIRSS aim to improve information transfer and integration, technology development and sustainability, and collaboration in the practice of science through basic and applied research and training of information specialists to work cooperatively with research scientists.
Scientific data problems do not stand in isolation. They are part of a larger set of challenges associated with escalated production of scientific information and changes in scholarly communication in the digital environment. Across all scientific disciplines, researchers are producing and consuming increasing amounts and varieties of information and data, while striving to work with these resources in new ways. This has lead to daunting problems and opportunities for information management and integration. There are numerous challenges associated with the amount and rate of data being generated; however, the complexity of the underlying science is of greater consequence for scientific discovery than the sheer volume of the data.
 Data Conservancy - The Data Conservancy (DC) initiative will serve as a "laboratory" for researchers at the GSLIS Center for Informatics Research in Science and Scholarship (CIRSS) to extend their current social science research on 1) data curation and sharing requirements across the sciences and 2) collection level metadata and annotation for data federation and reuse.
Towards Evidence-Based Discovery (EBD) - Vast quantities of electronic information provide a unique opportunity for scientists identify candidate solutions for grand challenges as scientists, policy makers, and students have never had access to more electronic information than they do today. The goal in this research is to develop new text mining methods that are consistent with the manual processes that experts currently used to resolve contradictory and redundant evidence.
Curation Profiles Project (CPP) - This project combines both library and research domain strengths of the University of Illinois and Purdue University Libraries to investigate questions related to data collection, management, publication and preservation, including “at which point in the research cycle are researchers willing to share data, with whom, and under what conditions?”
Data Curation Education Program (DCEP) and Data Curation Education Program in the Humanities (DCEP-H) —The Data Curation Education Program is a data curation specialization within the ALA-accredited Master of Science at the University of Illinois's Graduate School of Library and Information Science. Data curation is the active and on-going management of data through its lifecycle of interest and usefulness to scholarly and educational activities across the sciences, social sciences, and the humanities. Data curation activities enable data discovery and retrieval, maintain data quality, add value, and provide for re-use over time. This new field includes representation, archiving, authentication, management, preservation, retrieval, and use.
Data Curation Education in Research Centers (DCERC) - The Data Curation Education in Research Centers (DCERC) will develop a model for educating Library and Information
Science masters and doctoral students in data curation through field experiences in research and data centers. We
will implement a graduate research and education program in data curation to bring students into the world of
scientific data curation. Building on the strengths of our partners-the University of Illinois Urbana-Champaign
Graduate School of Library and Information Science, the University of Tennessee School of Information Sciences,
and the National Center for Atmospheric Research, we address needs for research expertise and scientific data
curation professionals.
Biological Information Specialists (BIS) - The objectives of the project are to develop curriculum, establish internships, integrate course work with informatics research, share the educational approach, and expand understanding of the role of informatics in scientific progress.
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DCEP-H 2011 Interim Report Submitted.
DCEP Final Report Submitted Oct. 2011.
Research Data Workforce Summit a success. Final Report submitted.
Data Curation Research Summit a success. Final Report submitted.
Curation Profiles Project nearing completion.
Wickett, K.M., Renear, A.H., & Furner, J. (2011, October 9-12). Are Collections Sets? Proceedings of the Annual Meeting of the American Society for Information Science & Technology (ASIS&T), October 9-12, 2011, New Orleans, LA.
Sacchi, S., Wickett, K.M., Renear, A.H., & Dubin, D.S. (2011, October 9-12). A Framework for Applying the Concept of Significant Properties to Datasets. Proceedings of the Annual Meeting of the American Society for Information Science & Technology (ASIS&T), October 9-12, 2011, New Orleans, LA.
Palmer, C.L., Weber, N.M., & Cragin, M.H. (2011, October 9-12). The Analytic Potential of Scientific Data: Understanding Re-use Value. Proceedings of the Annual Meeting of the American Society for Information Science & Technology (ASIS&T), October 9-12, 2011, New Orleans, LA.
Chao, T. C. (2011, October 9-12). Disciplinary Reach: Investigating the Impact of Dataset Reuse in the Earth Sciences. Proceedings of the Annual Meeting of the American Society for Information Science & Technology (ASIS&T), October 9-12, 2011, New Orleans, LA.
Cragin, M. H., Chao, T.C. & Palmer, C. L., (2011, June 13-17). Units of Evidence for Analyzing Subdisciplinary Difference in Data Practice Studies. Poster presented at the Joint Conference on Digital Libraries (JCDL), Ottawa, ON.
Palmer, C., Weber, N. & Cragin, M., (2011, June 13-17). Analytic Potential of Data: Assessing Reuse Value. Poster presented at the Joint Conference on Digital Libraries (JCDL), Ottawa, ON.
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