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**Tables of Contents**
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[[_TOC_]]
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# Abstract
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# Batch Context
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The batch_context extension for EEGLAB provides and interface for generating data
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processing pipelines and executing them on multiple data files either locally or
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on remote compute clusters. This extension also provides the tools needed to manages
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* Provides a simple front end interface for researchers to batch process scripted analysis pipelines on multiple data files
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* Save script and configuration files that contain everything that is required to replicate an analysis pipeline across data files or studies
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* Run jobs on clusters in highly parallel environments
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* Interact with different cluster schedulers in a portable way
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* Write your own adapters for your own custom schedulers in a contained way
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* Write your own adapters for your own custom schedulers in a contained way
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* Submit jobs with dynamic resource parameters that optimize resource allocation leading to lower queue times in competitive resource allocations
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## Tutorial
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If you wish to make your own pipeline we suggest you use the tutorial below as guidance. The [bucanl ICA pipeline](https://git.sharcnet.ca/bucanl_pipelines/eeg_pipe_asr_amica) is a practical example but is very complex and may be hard to understand due to complex interactions.
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# Page Navigation
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**Tutorial Steps**
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***
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* :floppy_disk: Please note that whenever you make a change to a GUI(Graphic User Interface) field box, you must click off of it so that the field box is **not** highlighted, for EEGLAB to record your change.
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# Getting Started!
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Running a successful job using batch context consists of 5 main components:
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1. Data Files
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