The metawoRld package provides the foundational structure for creating and managing data for living systematic reviews. It helps ensure data is consistently structured, validated, stored reproducibly (using YAML/CSV), and can be easily loaded for analysis or presentation.
It is designed to work in tandem with the DataFindR package, which uses AI to help populate the metawoRld project with data extracted from scientific literature.
Please see the Conceptual Overview vignette for a detailed explanation of the entire living review pipeline and how metawoRld and DataFindR work together.
Installation
# Assuming metawoRld is on GitHub (replace 'andjar/metawoRld')
# install.packages("remotes")
remotes::install_github("andjar/metawoRld")
# You will likely also need DataFindR
# remotes::install_github("andjar/DataFindR")Example: Creating a Project
# library(metawoRld)
#
# proj_path <- file.path(tempdir(), "my_living_review")
#
# # Clean up previous run if needed
# if(dir.exists(proj_path)) unlink(proj_path, recursive = TRUE)
#
# create_metawoRld(
# path = proj_path,
# project_name = "Cytokines in Pregnancy",
# project_description = "A test living review project.",
# # Define criteria and schema details here or rely on defaults
# inclusion_criteria = c("Human", "Pregnancy", "Serum/Plasma", "Cytokine"),
# exclusion_criteria = c("Animal", "Review", "Non-English")
# )
#
# list.files(proj_path)
# Clean up
# unlink(proj_path, recursive = TRUE)