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The MARK-AGE phenotypic database: Structure and strategy.

María Moreno-Villanueva¹, Tobias Kötter², Thilo Sindlinger¹

¹Molecular Toxicology Group, Department of Biology, University of Konstanz, 78457 Konstanz, Germany.

Mechanisms of Ageing and Development

|March 31, 2015

Summary

This summary is machine-generated.

The MARK-AGE study collected extensive health and social data from 3337 volunteers. A secure, doubly coded phenotypic database was developed to manage this large dataset while ensuring participant anonymity.

Keywords:

Data management Database

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Area of Science:

Gerontology
Bioinformatics
Public Health

Background:

The MARK-AGE study involves collecting comprehensive data from a large volunteer cohort.
Managing vast amounts of individual data requires robust informatics solutions.
Ensuring participant confidentiality is paramount in large-scale research.

Purpose of the Study:

To establish a secure and efficient data management system for the MARK-AGE study.
To document anthropometric, clinical, social, and biomarker data from 3337 volunteers.
To maintain participant anonymity through a secure data storage system.

Main Methods:

Systematic collection of anthropometric, clinical, and social data.
Collection of biological samples including blood, buccal cells, and urine.
Development and implementation of a phenotypic database utilizing a doubly coded system for secure data storage.

Main Results:

Successfully collected and documented information from 3337 volunteers.
Established a database capable of handling approximately 500 standardized questions and 500 biomarkers per individual.
Implemented a doubly coded system to ensure data confidentiality and subject anonymity.

Conclusions:

A secure, doubly coded phenotypic database is essential for managing large-scale health studies like MARK-AGE.
The implemented system effectively addresses the challenges of data volume and privacy requirements.
This approach facilitates the ethical and efficient use of extensive research data.