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Knowledge data base system for twins study

S Reina¹, F Miozza

¹Informatics Laboratory, Gregor Mendel Institute, Rome, Italy.

Acta Geneticae Medicae Et Gemellologiae

|January 1, 1994

Summary

This study computerizes decades of twin research data for secure storage and accessibility. The new system enhances medical informatics, enabling advanced sibling design analysis and data sharing among scientists.

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Area of Science:

Medical Genetics
Biomedical Informatics
Data Science

Background:

The Gregor Mendel Institute for Medical Genetics and Twin Study in Rome has accumulated extensive clinical paper records from four decades of twin research.
Preserving this valuable historical and scientific data securely and ensuring its accessibility for research posed a significant challenge.

Purpose of the Study:

To develop a secure and accessible system for managing a large volume of twin study clinical records.
To implement a Knowledge Data Base System utilizing modern biomedical informatics concepts and a fourth-generation language (SQL).

Main Methods:

Computerization of historical clinical paper records.
Development of a Knowledge Data Base System using SQL, incorporating heuristic relational criteria.
Implementation of data manipulation capabilities beyond simple storage.
Integration with Local Area Network (LAN) for automated report distribution and Bulletin Board System (BBS) for remote access.

Main Results:

Successful computerization of a vast collection of twin study data.
Creation of an innovative computer system that allows data manipulation and analysis.
The system is capable of solving sibling design analysis problems and adaptable to future database needs.
Facilitation of data access and scientific information exchange for researchers within and outside the institute.

Conclusions:

The computerization project successfully addressed the challenge of preserving and accessing valuable twin research data.
The developed Knowledge Data Base System enhances research capabilities in medical genetics and biomedical informatics.
The system promotes collaboration and data sharing among the scientific community through accessible data and communication channels.

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