Admittedly I found it difficult to weed through the jargon here, but think I grasped the big picture. I can't help but consider the fragility of any database, but at the same time don't think that's an appropriate characterization. Given the immense nature of databases, I'm interested in how we negotiate an appropriate amount of error. Do any institutional recommendations for margin of error exist - or, maybe first, what auditing strategies exist for this purpose?
2) Introduction to Metadata by Anne J. Gilliland
In the conclusion her article, Gilliland emphasizes "carefully designed" metadata as being the important building block of information before offering suggestions for how to develop a good metadata base. Aside from the issue of time and resources, I wonder what other perils might result from over doing data tagging? In other words, does "careful design" imply a necessary balance needed between the amount of metadata for an object and the quality or precision of that metadata?
3) An overview of the Dublin Core Data Model by Eric J. Miller
Well, I should look into completing all the reading before posting ... That said, I appreciate this article for giving an overview of the difficulties arriving at One True Standard - which, of course, does not and will never exist. This writing dates back to 1999, I'm curious how effective it has been worldwide.
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