Code Analysis, Repository and Modelling for e-Neuroscience

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Presentation transcript:

Code Analysis, Repository and Modelling for e-Neuroscience www.carmen.org.uk Creating a virtual laboratory for neurophysiological data

Analysts provide the tools to statistically and mathematically describe the data Theoreticians and modellers need data and can provide predictions to experimentalists Experimentalists obtain original data to test hypotheses and derive new knowledge

Access Portal through www.carmen.org.uk

Registration Open to all Academic Users Automatic Registration for New Users

Organisation of Workspace Workspace divided into repository of resources (left hand window) and information and activity (right hand window)

Organisation of Data Data you have permission to access are organised into ‘personal’, ‘shared’ and ‘public’ folders

Entering Data and Metadata Upload of new data generates metadata forms. Pre-compiled templates speeds upload process

Entering Data and Metadata Expanding windows are used for collecting the metadata

Entering Data and Metadata A browser allows you to select files to upload to the platform

Setting Security Attributes You have options to make data and metadata private, shared with collaborators, or public.

Setting Security Attributes Typing part of a name, address or e-mail suggests possible registered users for sharing

Finding Resources in the Repository Search function using multiple terms enables users to find appropriate resources

Viewing Metadata and Annotations Metadata can be accessed to understand any resources and those with permission can add annotations

Viewing Data Files Time series data files can be viewed by launching the thick client tool ‘Signal Data Explorer’

Viewing Time-Series Data Files Multiple views can be used to explore the data, including multielectrode array view

Pattern matching function allows feature searching and averaging

Execute Services Services are uploaded and shared like data. Available services can be added to ‘Favourites’ list in the resources.

Associated metadata describe the function and required parameters Execute Services Associated metadata describe the function and required parameters

Set Service Parameters through Interface Parameters are entered using an automatically generated entry form

Service Log A Service Log monitors progress with executed services and shows results of prior services

Service Results Output On completion results are written to the resources directory and can be viewed

Common File Format (NDF) An internal file format (NDF) allows services to run across multiple data types. A service converts files from original formats.

NDF will enable services to be linked into more complex workflows Workflow Software NDF will enable services to be linked into more complex workflows

Tutorials and ‘How to’s Tutorials and ‘How to’s demonstrate the operation of the portal. Step-by-step guides appear in a separate window