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Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

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An Adaptable XML Based Approach for Scientific Data Management and Integration.

Fusheng Wang¹, Florian Thiel, Daniel Furrer

¹Siemens Corporate Research, 755 College Road East, Princeton, NJ, USA.

Proceedings of Spie--The International Society for Optical Engineering

|September 28, 2011

Summary

This summary is machine-generated.

SciPort is a web platform enhancing scientific data management and collaboration. It uses XML to model and share complex data across institutions, improving research integration.

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Area of Science:

Computer Science
Bioinformatics
Data Management

Background:

Scientific research complexity necessitates advanced data management solutions.
Increasing scientific collaboration requires effective data integration and sharing across institutions.
Existing systems struggle with managing and sharing diverse, complex scientific data.

Purpose of the Study:

To develop SciPort, a web-based platform for scientific data management and integration.
To support researchers in collecting, publishing, and sharing complex scientific data across multiple institutions.
To provide a flexible and extensible system adaptable to various research applications.

Main Methods:

Developed a distributed architecture with a central server for data management.
Utilized XML for modeling complex scientific data, including structured data, images, and raw data via references.
Implemented an XML-based hierarchical organization for efficient data browsing.
Enabled independent local data management with centralized publishing for a global data view.
Stored data in a native XML database supporting schema extensibility and XQuery for comprehensive data retrieval.

Main Results:

SciPort successfully models and integrates complex scientific data using an XML-based approach.
The platform facilitates easy data collection, publishing, and sharing across distributed institutions.
Customizable schemas and hierarchies allow adaptation to diverse research needs.
Independent local management and central publishing enable a unified global data view.
Native XML database storage ensures high schema extensibility and efficient querying.

Conclusions:

SciPort offers a unified, effective platform for scientific data modeling, access, and customization.
The system provides a flexible and powerful solution for sharing scientific data within research communities.
SciPort has been successfully applied in biomedical research and clinical trials, demonstrating its practical utility.