Makita-A workflow generator for large-scale and reproducible simulation studies mimicking text labeling
Publication date
2024-09
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Document Type
Article
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Abstract
This paper introduces ASReview Makita, a tool designed to enhance the efficiency and reproducibility of simulation studies in systematic reviews. Makita streamlines the setup of large-scale simulation studies by automating workflow generation, repository preparation, and script execution. It employs Jinja and Python templates to create a structured, reproducible environment, aiding both novice and expert researchers. Makita's flexibility allows for customization to specific research needs, ensuring a repeatable research process. This tool represents an advancement in the field of systematic review automation, offering a practical solution to the challenges of managing complex simulation studies.
Keywords
Machine learning, Reproducibility, Simulation study, Systematic reviews, Workflow automation
Citation
Teijema, J J, van de Schoot, R, Ferdinands, G, Lombaers, P & de Bruin, J 2024, 'Makita-A workflow generator for large-scale and reproducible simulation studies mimicking text labeling', Software Impacts, vol. 21, 100663. https://doi.org/10.1016/j.simpa.2024.100663