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. 2008 May-Jun;15(3):363-73.
doi: 10.1197/jamia.M2662. Epub 2008 Feb 28.

Sharing data and analytical resources securely in a biomedical research Grid environment

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Sharing data and analytical resources securely in a biomedical research Grid environment

Stephen Langella et al. J Am Med Inform Assoc. 2008 May-Jun.

Abstract

Objectives: To develop a security infrastructure to support controlled and secure access to data and analytical resources in a biomedical research Grid environment, while facilitating resource sharing among collaborators.

Design: A Grid security infrastructure, called Grid Authentication and Authorization with Reliably Distributed Services (GAARDS), is developed as a key architecture component of the NCI-funded cancer Biomedical Informatics Grid (caBIG). The GAARDS is designed to support in a distributed environment 1) efficient provisioning and federation of user identities and credentials; 2) group-based access control support with which resource providers can enforce policies based on community accepted groups and local groups; and 3) management of a trust fabric so that policies can be enforced based on required levels of assurance.

Measurements: GAARDS is implemented as a suite of Grid services and administrative tools. It provides three core services: Dorian for management and federation of user identities, Grid Trust Service for maintaining and provisioning a federated trust fabric within the Grid environment, and Grid Grouper for enforcing authorization policies based on both local and Grid-level groups.

Results: The GAARDS infrastructure is available as a stand-alone system and as a component of the caGrid infrastructure. More information about GAARDS can be accessed at http://www.cagrid.org.

Conclusions: GAARDS provides a comprehensive system to address the security challenges associated with environments in which resources may be located at different sites, requests to access the resources may cross institutional boundaries, and user credentials are created, managed, revoked dynamically in a de-centralized manner.

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Figures

Figure 1
Figure 1
Example usage scenarios for Dorian. Users at Georgetown, OSU, and Duke use their institutional authentication services, while the unaffiliated user utilizes Dorian as an identity provider.
Figure 2
Figure 2
Grid Grouper Architecture. Group and stem creation and management can be done through a graphical user interface (Grid Grouper Admin UI) provided by the Grid Grouper infrastructure.
Figure 3
Figure 3
Multiple clients accessing Grid-enabled imaging services. In this setting, a client (e.g., a reviewer) needs to have Grid credentials to be able to interact with secure image services.
Figure 4
Figure 4
Data groups for images are organized hierarchically by patient, study, series, and image.
Figure 5
Figure 5
A user group's access to data can be controlled for individual patient, study, or series. Authorization is inherited by children nodes in the information hierarchy as shown here for the two patients on the right, where the user is allowed to access one patient (white documents) while disallowed from accessing the other (black documents). The inherited authorization can be overridden at a child node, as shown in the leftmost patient, where the user is allowed to access the patient, except for one study, and one series.

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References

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