Abstract
Data Archiving and Networked Services (DANS) is a new organisation in The Netherlands responsible for the archival and dissemination of scientific datasets for the humanities and social sciences. It is currently building a distributed storage system and web interface called EASY for efficient ingest and publishing of datasets for reuse in any type of setting; in scientific as well as in enterprise environments. Recently, DANS was invited to be a part of the VL-e project in which a grid environment is being set up. This opportunity presented us with a new range of possibilities both in the realm of digital durable storage and advanced dissemination. This paper gives an overview of how basic grid features can help keep data accessible for an indefinite amount of time, how the application of data mining and statistical analysis on a grid architecture can provide researchers and analists with new information and what our plans are to eventually implement all of these ideas.
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Kramer, R. (2007). Possibilities for Advanced Dissemination and Durable Storage of Scientific Data on the Grid. In: Draheim, D., Weber, G. (eds) Trends in Enterprise Application Architecture. TEAA 2006. Lecture Notes in Computer Science, vol 4473. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75912-6_16
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DOI: https://doi.org/10.1007/978-3-540-75912-6_16
Publisher Name: Springer, Berlin, Heidelberg
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