Integrated support for neuroscience research: from study design to publication.

Area of Science:

• Computational neuroscience
• Neurodegenerative disease research
• Biomedical imaging

Background:

• Computational neuroscience integrates diverse expertise for studying neurodegenerative diseases.
• Research necessitates scalable computational resources, storage, and robust information management.
• Existing virtual laboratories often focus narrowly on data processing, neglecting broader study phases.

Purpose of the Study:

• To analyze the distinct phases of computational neuroscience studies.
• To identify key actors and their tasks within each phase.
• To define essential properties and functionalities for a comprehensive virtual laboratory.

Main Methods:

• Analysis of computational neuroscience study phases.
• Actor and task identification.
• Requirements definition for virtual laboratory support.

Main Results:

• Detailed breakdown of computational neuroscience study phases, actors, and tasks.
• Identification of gaps in current virtual laboratory solutions.
• A framework for a holistic virtual laboratory.

Conclusions:

• A comprehensive virtual laboratory is crucial for efficient computational neuroscience research.
• Such a laboratory must support all study phases, from data acquisition to analysis.
• This work provides a blueprint for developing integrated virtual laboratory environments.