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Exploring the impact of knowledge potential on preservation requirements within an OAIS Archive
E Conway (STFC)
B Matthews (STFC)
D Giaretta (STFC)
The challenge of digital preservation of scientific data lies in the need to preserve not only the dataset itself but also the potential it has to deliver knowledge to a future user community. Thus the definition of knowledge that a data set is capable of imparting to any future designated user community has a profound impact on preservation requirements for an archive. In this paper we identify key sources for the creation of this knowledge definition and describe how differing approaches to requirements gathering impact the characterisation of information encoded within scientific datasets. We then seek to explore how the definition of knowledge requirements from different sources impacts upon the requirements for an OAIS system. The role of a data curator is not only to safely archive the dataset but to respond to preservation requirements, collecting and managing sufficient associated information to do this. Using illustrative examples from the scientific test beds identified in the EU project CASPAR, we demonstrate how the quality of the OAIS concepts of representation information, provenance and context is affected in response.
Paper In Conference Proceedings
In Ensuring the Long-Term Preservation and Value Adding to Scientific and Technical Data (PV 2007), Munich, Germany, 9-11 Oct 2007, (2007).
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