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Category Archives: Data Science and Analytics
DataNet Federation Consortium
Overview The DataNet Federation Consortium (DFC) is one of four DataNet projects funded by the National Science Foundation (NSF). DFC is a multi-institutional project developing national data management infrastructure to support collaborative multidisciplinary research through shared data collections and shared research workflows. A focus of the project is developing interoperability mechanisms between DFC-enabled data management […]
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Geoanalytics Platform
Overview Visualizations of geographically-referenced data, such as measures of disease occurrence across the country or atmospheric data around the globe, can be immensely useful. But developing applications using such data sets can be challenging. There is no standard format or cataloging system for geo-referenced data, and once the data sets are found and formatted, they […]
Posted in Data Science and Analytics, Research
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Sensor Data Bus
Overview The wealth of data available from sensors, satellites, and Internet services has created a glut of information that is often too vast for a researcher to adequately capture or comprehend in a simplistic data model. Multidisciplinary research that uses environmental data—such as research on the impacts of climate change—requires scientists to be able to […]
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TUCASI
Overview The Triangle Universities Center for Advanced Studies, Inc. (TUCASI) data-Infrastructure Project (TIP) will deploy a federated data cyberinfrastructure- or data cloud- across the campuses of the Triangle area universities. TIP will meet the growing data storage and management needs of UNC Chapel Hill, Duke University, NC State University, and RENCI through an interoperable data […]
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Metadata Management
Overview Metadata Management is a project investigating ways to automate the maintenance of health information metadata in NC Health Info, a website that provides consumers with a single source for searching healthcare services and locating reputable information on diseases, treatments, prevention and more. As with most databases that contain large amounts of information, it is […]
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DataLab
Overview DataLab is a research project in data interoperability exploring new ways to address scientific data integration challenges and tie together diverse data from across North Carolina. The DataLab initiative aimed to develop a data interoperability framework for cloud computing and to make interacting with distributed data more practical and effective. The experimental software at […]
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MSI Network
Overview The mission of the MSI Network is to increase access to, awareness and utilization of advanced computing and communication technologies within communities that have been traditionally underrepresented in the technology revolution. These communities include faculty, students and staff at minority serving institutions (MSIs), which include Historically Black Colleges and Universities (HBCUs), Hispanic-Serving Institutions (HSIs), […]
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NARA TPAP
Overview The National Archives and Records Administration (NARA) Transcontinental Persistent Archive Prototype (TPAP) is a data preservation environment using the Storage Resource Broker (SRB) and “/i/ Rule Oriented Data Systems” (iRODS) data grid technology to develop, implement, and test a seamless, nationwide data management infrastructure. The University of North Carolina serves as one of the […]
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NARA
Overview The National Archives and Records Administration (NARA) research prototype persistent archive is a preservation environment using data grid technology to develop implement, and test a seamless, nationwide data management infrastructure. The NARA data grid was extended to include the University of North Carolina, where RENCI provides data management infrastructure as the sixth node in […]
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