Code & Data for "Adoption of Transparency and Openness Promotion (TOP) guidelines across journals"

This entry contains code and data that was used in the publication: "Adoption of Transparency and Openness Promotion (TOP) guidelines across journals" submitted in Publications journal. *It is version 2 because the last verion of the Fig_3_Tab2_Defining_science_disciplines_plus_plot.R script and Supplementary Data were additionally uploaded. #IDEA: This project was about analyzing policies of two thousand journals within the framework of eight TOP standards: data citation, transparency of data, material, code and design and analysis, replication, plan and study pre-registration, and two effective interventions: “Registered reports” and “Open science badges”. # MATERIALS & METHODS We downloaded the TOP Factor (v33, 2022-08-29 3:12 PM) metric from the https://osf.io/kgnva/files/osfstorage/5e13502257341901c3805317 website and analyzed its content with an in-house R script (in this repo): 1) SCRIPT: fig1_Analyzing_journals_policies_and_TOP_guidelines.R 2) SCRIPT: Figure2a_b_TOP_impl_journal_statistist_0_1_piechart_barplot.R In order to get statistics about implementation of the TOP guidelines across discipline-specific journals, we extracted information about journal’s disciplines from the Scopus content database. We downloaded SCOPUS content coverage from the https://www.elsevier.com/solutions/scopus/how-scopus-works/content?dgcid=RN_AGCM_Sourced_300005030 (existJuly2022.xlsx) and used the first Sheet. We identified match between those 2 tables: 3) SCRIPT: Rscript_overlapping_TOP_dataframe_and_SCOPUS_db.R And resulted in Overlap_SCOPUS_TOP.rds file And performed visualization and statistics: 4) SCRIPT: Fig_3_Tab2_Defining_science_disciplines_plus_plot.R #RESULTS Submitted to Publications 30.9.2022.