Advancing of Russian ChemBioGrid by bringing Data Management tools into collaborative environment

Area of Science:

• Computer Science
• Health Informatics
• Data Management

Background:

• Virtual research organizations require robust tools for collaborative work with large, distributed datasets.
• HealthGrid presents challenges in managing heterogeneous data across multiple sources.

Purpose of the Study:

• To describe a mechanism for supporting Digital Libraries within a High-Performance Computing (HPC) environment using Grid technology.
• To enable the assembly of heterogeneous data from distributed sources into integrated virtual collections.

Main Methods:

• Utilized Open Grid Services Architecture - Data Access and Integration (OGSA-DAI) for data integration.
• Developed a Repository of Meta-Descriptions to define virtual collections based on metadata.
• Employed a native XML-database (Sedna) for storing metadata.
• Managed the repository using Grid Data Services.

Main Results:

• Successfully demonstrated a mechanism to create integrated virtual collections from distributed, heterogeneous data.
• Established a metadata repository for defining and managing personalized and collaborative virtual collections.
• Showcased the feasibility of using Grid technology for enhanced digital library support in HPC environments.

Conclusions:

• The proposed approach effectively supports Digital Libraries in HPC environments by enabling collaborative access to distributed data.
• The metadata repository and Grid Data Services provide a scalable solution for managing virtual research data collections.
• This mechanism enhances collaborative research capabilities for virtual organizations working with large scientific datasets.