Paper
13 March 2009 Securely and flexibly sharing a biomedical data management system
Fusheng Wang, Phillip Hussels, Peiya Liu
Author Affiliations +
Abstract
Biomedical database systems need not only to address the issues of managing complex data, but also to provide data security and access control to the system. These include not only system level security, but also instance level access control such as access of documents, schemas, or aggregation of information. The latter is becoming more important as multiple users can share a single scientific data management system to conduct their research, while data have to be protected before they are published or IP-protected. This problem is challenging as users' needs for data security vary dramatically from one application to another, in terms of who to share with, what resources to be shared, and at what access level. We develop a comprehensive data access framework for a biomedical data management system SciPort. SciPort provides fine-grained multi-level space based access control of resources at not only object level (documents and schemas), but also space level (resources set aggregated in a hierarchy way). Furthermore, to simplify the management of users and privileges, customizable role-based user model is developed. The access control is implemented efficiently by integrating access privileges into the backend XML database, thus efficient queries are supported. The secure access approach we take makes it possible for multiple users to share the same biomedical data management system with flexible access management and high data security.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fusheng Wang, Phillip Hussels, and Peiya Liu "Securely and flexibly sharing a biomedical data management system", Proc. SPIE 7264, Medical Imaging 2009: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 726402 (13 March 2009); https://doi.org/10.1117/12.811716
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Data modeling

Computer security

Databases

Biomedical optics

Control systems

Medical research

Clinical trials

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