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Related Experiment Videos

An Integrated Object Model and Method Framework for Subject-Centric e-Research Applications.

Jason M Lohrey¹, Neil E B Killeen, Gary F Egan

¹Arcitecta Pty Ltd Victoria, Australia.

Frontiers in Neuroinformatics

|July 29, 2009

Summary

A new framework manages subject-centric research data, including experimental workflows and data provenance. This system enhances data reusability and citability for neuroscience and other research fields.

Keywords:

collaborative research data repository e-Research experimental methods object model subject-centric

Related Experiment Videos

Area of Science:

Computer Science
Neuroscience
Data Management

Background:

Existing object models lack comprehensive tracking for subject-centric research data.
Managing experimental data sets and their provenance is challenging in multi-disciplinary research.

Purpose of the Study:

To present a novel framework integrating object models, research workflows, and data provenance for subject-centric research.
To enhance data management, reusability, and citability in distributed research environments.

Main Methods:

Developed a framework with an integrated object model for tracking subject state and life cycles.
Incorporated reusable subjects, diverse data sets (primary, derived, recursive), and a practical citation scheme.
Applied the framework to manage neuroscience Magnetic Resonance and microscopy imaging data.

Main Results:

The framework successfully manages complex neuroscience imaging data in clinical and basic research settings.
Demonstrated enhanced data management, facilitating multi-disciplinary and collaborative subject-based research.
Validated the framework for neuroimaging, showing broader applicability to other subject-centric research fields.

Conclusions:

The presented framework offers a robust solution for managing subject-centric research data and provenance.
It extends existing models and supports collaborative research through improved data handling and identification.
The framework has significant potential for application beyond neuroimaging, benefiting various scientific disciplines.