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A framework for applying the concept of significant properties to datasets

✍ Scribed by Simone Sacchi; Karen Wickett; Allen Renear; David Dubin


Publisher
Wiley (John Wiley & Sons)
Year
2011
Tongue
English
Weight
641 KB
Volume
48
Category
Article
ISSN
0044-7870

No coin nor oath required. For personal study only.

✦ Synopsis


The concept of signi cant properties, properties that must be identified and preserved in any successful digital object preservation, is now common in data curation. Although this notion has clearly demonstrated its usefulness in cultural heritage domains its application to the preservation of scientific datasets is not as well developed. One obstacle to this application is that the familiar preservation models are not sufficiently explicit to identify the relevant entities, properties, and relationships involved in dataset preservation. We present a logic-based formal framework of dataset concepts that provides the levels of abstraction necessary to identify and correctly assign significant properties to their appropriate entities. A unique feature of this model is that it recognizes that a typed symbol structure is a unique requirement for datasets, but not for other information objects.


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