Makita-A workflow generator for large-scale and reproducible simulation studies mimicking text labeling

Publication date

2024-09

Authors

Teijema, Jelle JasperISNI 0000000507449721
Schoot, Rens van deISNI 0000000393562696
Ferdinands, Gerbrich
Lombaers, PeterISNI 0000000524129973
Bruin, Jonathan deORCID 0000-0002-4297-0502ISNI 000000051803672X

Editors

Advisors

Supervisors

Document Type

Article

Collections

Open Access logo

License

cc_by

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