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Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

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Published on: January 22, 2011

TIERED ACCESS TO RESEARCH DATA FOR SECONDARY ANALYSIS.

John E Marcotte¹, Sarah Rush¹, Kelly Ogden-Schuette¹

¹University of Michigan.

The Journal of Privacy and Confidentiality

|September 6, 2024

Summary

This summary is machine-generated.

The traditional public or restricted data access is insufficient due to increased re-identification risks. This study proposes seven data access tiers to balance research needs with robust human subject protection.

Keywords:

Confidential data Data reuse Sensitive data

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Area of Science:

Data Science
Information Security
Research Ethics

Background:

Growing risks of re-identification and harm from research data necessitate advanced access controls.
Current public and restricted access models are inadequate for nuanced data protection.
Ensuring human subject protection requires more sophisticated data access management.

Purpose of the Study:

To introduce a tiered system for research data access.
To provide a framework for mitigating disclosure risks and ensuring data management.
To address the limitations of binary data access classifications.

Main Methods:

Development of a seven-tier access control model for research data.
Defining increasing requirements for data access at each tier to mitigate risks.
Establishing criteria for appropriate data handling and disclosure protection.

Main Results:

A proposed seven-tier system offers granular control over research data access.
Each higher tier incorporates stricter requirements for data security and management.
The highest tier ensures maximum security but may limit research accessibility.

Conclusions:

A multi-tiered access system is crucial for balancing data accessibility and participant protection.
Repositories must implement nuanced access controls to support research while minimizing harm.
The proposed framework enhances data security against re-identification and misuse.