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Outcomes of computational approaches are occasionally often difficult to reproduce despite ongoing (open science) initiatives that resulted in guidelines and best practices to improve reproducibility. However, their translation and application in practice still is an obstacle. We propose ENCORE (ENhancing COmputational REproducilbity) to improve reproducibility and transparency through integration of all project components (e.g., data, code, results, concepts, documentation) in a standardized file system structure. The approach makes use of pre-defined (template) files to guide documentation, a GitHub repository for software versioning, a HTML-based navigator, and ENCORE user documentation.
ENCORE is agnostic to the type of computational project, data, programming language, and ICT infrastructure and does not depend on any software tool. ENCORE improved reproducibility and transparency of computational projects in our group.
This ENCORE_AUTOMATION repository contains scripts to automate certain aspects of ENCORE. Currently, it provides scripts to automatically setup an ENCORE project
