TY - ADVS
T1 - Scripts for Post-Processing Mega-Meta Screening Results
AU - van den Brand, Sofie
AU - Hofstee, Laura
AU - Teijema, Jelle
AU - Melnikov, Valentin
AU - Brouwer, Marlies
AU - Van de Schoot, Rens
PY - 2021
Y1 - 2021
N2 - The repository is part of the so-called, Mega-Meta study on reviewing factors contributing to substance use, anxiety, and depressive disorders. The study protocol has been pre-registered at Prospero. The procedure for obtaining the search terms, the exact search query, and selecting key papers by expert consensus can be found on the Open Science Framework. The three datasets, one for each disorder, used for screening in ASReview and the partly labeled output datasets can be found on DANS[NEEDS LINK]. The current repository contains the post-processing scripts to: (1) Merge the three output files after screening in ASReview; (2) Obtain missing DOIs; (3) Apply another round of de-duplication (the first round of de-duplication was applied before the screening started); (4) Deal with noisy labels corrected in two rounds of quality checks. The scripts in the current repository result in one single dataset that can be used for future meta-analyses. The dataset itself is available on DANS[NEEDS LINK].
AB - The repository is part of the so-called, Mega-Meta study on reviewing factors contributing to substance use, anxiety, and depressive disorders. The study protocol has been pre-registered at Prospero. The procedure for obtaining the search terms, the exact search query, and selecting key papers by expert consensus can be found on the Open Science Framework. The three datasets, one for each disorder, used for screening in ASReview and the partly labeled output datasets can be found on DANS[NEEDS LINK]. The current repository contains the post-processing scripts to: (1) Merge the three output files after screening in ASReview; (2) Obtain missing DOIs; (3) Apply another round of de-duplication (the first round of de-duplication was applied before the screening started); (4) Deal with noisy labels corrected in two rounds of quality checks. The scripts in the current repository result in one single dataset that can be used for future meta-analyses. The dataset itself is available on DANS[NEEDS LINK].
KW - machine learning systematic review active learning ASReview
U2 - 10.5281/zenodo.5752358
DO - 10.5281/zenodo.5752358
M3 - Software
PB - Zenodo
ER -