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Knowledge Data Base System for Twins Study

Published online by Cambridge University Press:  01 August 2014

S. Reina*
Affiliation:
Informatics Laboratory, The Gregor Mendel Institute, Rome, Italy
F. Miozza
Affiliation:
Informatics Laboratory, The Gregor Mendel Institute, Rome, Italy
*
Informatics Laboratory, The Gregor Mendel Institute, Piazza Galeno 5, 00162 Rome, Italy

Abstract

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The medical research on twins, carried out at the Gregor Mendel Institute for Medical Genetics and Twin Study in Rome over the past four decades, has resulted in a vast collection of clinical paper records. A challenge was presented by the need for a more secure method of storage to preserve this enormously valuable historical and scientific patrimony and to render its contents more easily accessible for research purposes. We met the challenge by planning and developing the computerization of this material. New concepts, currently being explored in biomedical informatics, were applied to build a Knowledge Data Base System, using a fourth-generation language (SQL). This architecturally innovative computer system enables its users to manipulate data supplied, rather than just simply storing it. Based on heuristic relational criteria between variables and parameters, the system is employed to solve problems of sibling design analysis typically arising from twins' records, but is also equipped to meet future data base requirements. Another feature of the system is its users' ability to pull off data in the form of regular automated reports, which are distributed through a Local Area Network (LAN). Through a Bulletin Board System (BBS) and modem, any scientist (outside as well as within the Institute) is thus able to access data and exchange scientific information.

Type
Research Article
Copyright
Copyright © The International Society for Twin Studies 1994

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