RCE (rationale–cogency–extent) criterion unravels features affecting citation impact of top-ranked systematic literature reviews: leaving the impression…is all you need

Orošnjak, Marko; Štrbac, Branko; Vulanović, Srđan; Runje, Biserka; Horvatić Novak, Amalija; Razumić, Andrej

doi:10.1007/s11192-024-04935-2

Scientometrics

2024

DOI: 10.1007/s11192-024-04935-2

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RCE (rationale–cogency–extent) criterion unravels features affecting citation impact of top-ranked systematic literature reviews: leaving the impression…is all you need

Marko Orošnjak,

Branko Štrbac,

Srđan Vulanović

et al.

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Reproducibility and Data Storage for Active Learning-Aided Systematic Reviews

Lombaers,

de Bruin,

van de Schoot

2024

Applied Sciences

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In the screening phase of a systematic review, screening prioritization via active learning effectively reduces the workload. However, the PRISMA guidelines are not sufficient for reporting the screening phase in a reproducible manner. Text screening with active learning is an iterative process, but the labeling decisions and the training of the active learning model can happen independently of each other in time. Therefore, it is not trivial to store the data from both events so that one can still know which iteration of the model was used for each labeling decision. Moreover, many iterations of the active learning model will be trained throughout the screening process, producing an enormous amount of data (think of many gigabytes or even terabytes of data), and machine learning models are continually becoming larger. This article clarifies the steps in an active learning-aided screening process and what data is produced at every step. We consider what reproducibility means in this context and we show that there is tension between the desire to be reproducible and the amount of data that is stored. Finally, we present the RDAL Checklist (Reproducibility and Data storage for Active Learning-Aided Systematic Reviews Checklist), which helps users and creators of active learning software make their screening process reproducible.

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Reproducibility and Data Storage for Active Learning-Aided Systematic Reviews

Lombaers,

de Bruin,

van de Schoot

2024

Applied Sciences

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scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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RCE (rationale–cogency–extent) criterion unravels features affecting citation impact of top-ranked systematic literature reviews: leaving the impression…is all you need

Cited by 1 publication

References 80 publications

Reproducibility and Data Storage for Active Learning-Aided Systematic Reviews

Reproducibility and Data Storage for Active Learning-Aided Systematic Reviews

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