Semi-automated preservation and archival of scientific data using semantic grid services

Addressing the long term preservation issues associated with scientific data is a complex challenge compounded by: the scale and multidisciplinary nature of the problem; the wide range of formats and data types involved; and the often proprietary and transitory nature of the hardware and software used to generate the data. In this paper we present the PANIC system - an integrated, extensible architecture based on preservation metadata, automatic notification services, software and format registries and semantic grid services - that we believe, offers a sustainable, dynamic approach to the long term preservation of large collections of heterogeneous scientific data.

• Type: Conference
• Year: 2005
• Where: CCGRID
• Authors: J. Hunter, S. Choudhury
• Keywords: CCGRID 2005, Cluster Computing, Long Term Preservation, Scientific Data, Term Preservation Issues