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Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

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Published on: November 30, 2022

Securely and Flexibly Sharing a Biomedical Data Management System.

Fusheng Wang¹, Phillip Hussels, Peiya Liu

¹Integrated Data Systems Department, Siemens Corporate Research, Princeton, NJ, USA.

Proceedings of Spie--The International Society for Optical Engineering

|September 28, 2011

Summary

This summary is machine-generated.

This study introduces a data access framework for biomedical databases, enhancing security for shared research data. It ensures flexible, multi-level access control and simplifies user management for robust data protection.

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Area of Science:

Biomedical Informatics
Data Security
Access Control

Background:

Biomedical database systems require robust data management, security, and access control.
Instance-level access control is crucial for shared scientific data management systems.
Varying user security needs present challenges in data protection for research.

Purpose of the Study:

To develop a comprehensive data access framework for the biomedical data management system, SciPort.
To implement fine-grained, multi-level, space-based access control for resources.
To simplify user and privilege management through a customizable role-based model.

Main Methods:

Developed a comprehensive data access framework for SciPort.
Implemented fine-grained, multi-level, space-based access control at object and space levels.
Integrated customizable role-based user models and access privileges into the backend XML database.

Main Results:

SciPort provides fine-grained multi-level access control for documents, schemas, and aggregated resources.
A customizable role-based user model simplifies management of users and privileges.
Efficient query support is achieved by integrating access privileges into the XML database.

Conclusions:

The developed framework enables secure sharing of biomedical data management systems.
Flexible access management and high data security are achieved for multiple users.
This approach addresses the complex security needs in biomedical data sharing and research.