Main content

Scripts, data and output to reproduce "Addressing the Challenges of Reconstructing Systematic Reviews Datasets: A Case Study and a Noisy Label Filter Procedure"

  0

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Data

Description: Here you can find the scripts, data and output to reproduce our study "Addressing the Challenges of Reconstructing Systematic Reviews Datasets: A Case Study and Decision Tree". In this study, we reconstructed a database to perform a simulation study in ASReview. A solution for the problems faced is presented: the NLF procedure (noisy label filter).

License: CC-By Attribution 4.0 International

Wiki

Add important information, links, or images here to describe your project.

Files

Citation

Recent Activity

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.

Copyright © 2011-2024 Center for Open Science | Terms of Use | Privacy Policy | Status | API
TOP Guidelines | Reproducibility Project: Psychology | Reproducibility Project: Cancer Biology