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CIRSS Receives IMLS Award to Develop Site-Based Data Curation Framework for Long-Tail Science
The Institute for Museum and Library Services (IMLS) has awarded $499,919 for the project, Site-Based Data Curation for Small Science, led by CIRSS Director Carole Palmer, with co-Principal Investigators Bruce Fouke, Professor in Geology, Microbiology, and the Institute for Genomic Biology (IGB) at the University of Illinois at Urbana-Champaign; Sayeed Choudhury, Hodson Director of the Digital Research and Curation Center and Associate Dean of Library Digital Programs at Johns Hopkins University; and Ann Rodman, Director of GIS Operations at Yellowstone National Park.
Bringing together experts in data curation, data repositories, geobiology, and research site management, the Site-Based Data Curation (SBDC) project will investigate and test curation policies and procedures to advance the transfer of long-tail digital data collected at Yellowstone National Park (YNP) to the Data Conservancy for preservation and access, and to better coordinate the management of data resources produced at the many scientifically significant sites at YNP. The framework will result in a general model of professional curation processes readily extendible to other national parks and other important research sites, especially cradles of biodiversity such as coral reefs and deep crustal biosphere locations.
The new data curation approaches will be integrated into the curriculum of the Specialization in Data Curation at GSLIS and undergraduate and graduate geobiology courses taught at Illinois, with educational outreach extended to Yellowstone. The education activities will advance data curation workforce expertise in handling complex, cross-disciplinary data and prepare scientific communities to contribute to and take advantage of diverse collections of curated data.
The SBDC framework is an important step forward in evolving the professional best practices and institutional collaborations needed to build large-scale, interoperable data collections that include high-functioning long-tail data and are responsive to the pressing data needs of practicing research communities and resource management at sites of data production.