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Proceedings of the AMIA Symposium logoLink to Proceedings of the AMIA Symposium
. 2001:483–487.

Easing the transition between attribute-value databases and conventional databases for scientific data.

P M Nadkarni 1, L Marenco 1
PMCID: PMC2243470  PMID: 11825235

Abstract

We have previously developed and described a modeling and development framework called EAV/CR, which is appropriate for designing databases containing highly heterogeneous and evolving data, as in the case of scientific databases for rapidly advancing domains. The use of EAV/CR has been hampered by the lack of generic tools for non-procedurally transferring data into or out of legacy systems or analytical packages: the transfer task is complicated by the different representation of EAV vs. conventional data, which is not addressed by commercial data-transfer programs. We have therefore created such a tool, which works with a wide variety of data sources that are accessible via Microsoft OLE DB technology. The data transfer tool requires minimal programmer intervention to set up, and no programming to use on a regular basis. Current limitations of the tool are also noted.

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Selected References

These references are in PubMed. This may not be the complete list of references from this article.

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