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The significant increase in the production and collection of scientific data has appropriately been referred to as a “data deluge.” Researchers and scholars confronting this deluge and are faced with new data management challenges that have both social and technical dimensions. From the social perspective there are fundamental open questions pertaining to roles, responsibilities, and processes for responsible data stewardship and curation. From the technical perspective, there are currently many types of systems in use for data management including an array of non-standard systems, grid-based storage networks and, to a lesser degree, institutional repositories such as DSpace, Fedora, and enterprise solutions from various vendors --not — not to mention idiosyncratic “data under the desk” approaches, where researchers and scientists go it alone by storing and managing valuable data in their personal computing environment with commodity computers and local storage devices.

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