Category Archives: Research

South Big Data Hub partners on development of new nationwide data storage network under NSF grant

The Open Storage Network will enable researchers to manage data more efficiently than ever before. The South Big Data Hub is one of four regional big data hub partners awarded a $1.8 million grant from the National Science Foundation (NSF) for the initial development of a data storage network over the next two years. A […]

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Alex Tropsha

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ImPACT

Overview Scientific progress today requires multi-institutional and cross-disciplinary sharing and analysis of data. Many disciplines, such as social and health-related sciences, face a web of policies and technological constraints on data due to privacy concern over, for example, Personal Health Information (PHI) or Personally Identifiable Information (PII). Issues of privacy, safety, competition, and ownership have […]

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Scientific Data Analysis at Scale (SciDAS)

Overview Many tools and resources exist to help scientists conduct research efficiently, including high performance computing in the cloud, data management and scientific workflow systems, and tools that enable collaboration and data sharing. However, scientists need to seek out these different tools and platforms, and national cyberinfrastructure does not currently operate as a seamless, integrated […]

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South Big Data Hub

Overview The South Big Data Regional Innovation Hub (South BD Hub), is one of four Big Data Regional Innovation Hubs established in 2015 by the  National Science Foundation (NSF). The BD Hub initiative aims to build innovative public-private partnerships that address regional challenges such as health care, habitat planning, and coastal hazards through big data analysis. […]

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Cyber-Physical Systems for Smart Grids

Overview Smart grids – power grids that adapt to changes in demand and reconfigure as needed to avoid overloads and other problems – can reduce energy costs, help avoid blackouts, and deter cyber attacks. They also pose new challenges. As power generation shifts from centralized power stations to distributed, heterogeneous systems, massive amounts of sensor […]

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ATPER

Overview In the near future, large-scale computing systems are likely to vary greatly in their execution behavior due to massive component counts, relatively high fault rates, and potential performance fluctuations due to power and energy constraints. Electrical costs will be an important factor in determining the total cost of ownership, which means that applications and […]

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RADII

Overview Current efforts to enable data-driven science either look at data management issues, such as data curation and data preservation, or resource management issues, such as developing network mechanisms to speed up data transfers. RADII (for Resource Aware Data-centric collaborative Infrastructure) builds on the principle that a comprehensive approach which integrates data and resource management […]

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DH Press

Overview Though humanists don’t often think of their work as data-driven, their source material — archival records, photographs, maps, oral histories, newspapers and books, and so forth — are data. As this source material becomes more readily available due to digitization, tools will be needed to help manage and process the expanding collection of humanities-based […]

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PANORAMA

Overview Scientific workflows are now being used in a number of scientific domains, including astronomy, bioinformatics, climate modeling, earth science, civil engineering, physics, and many others. Unlike monolithic applications, workflows often run across heterogeneous resources distributed across wide area networks. Some workflow tasks may require high performance computing resources, while others can run efficiently on […]

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