sysrevdata

The goal of sysrevdata is to provide examples and extensible toolchains for structuring data for systematic review.

See vignettes (click on the “Articles” tab above) for example toolchain walkthroughs.

Vignettes

Narrative synthesis table | Condensed summaries of data for human interpretation
Machine readable data for complex visualisations and analyses | Structuring data for machine interpretation

Example dataset

This package currently contains bufferstrips dataset from a published systematic review.

library(sysrevdata)

# take a peek at the first 10 rows, 
# restricted to first 5 columns, 
# of each dataset

bufferstrips %>%
  # select first five columns
  dplyr::select(1:5) %>% 
  # select first 10 rows
  head(10)
#> # A tibble: 10 x 5
#>     item_id short_title    title                                    year period 
#>       <dbl> <chr>          <chr>                                   <dbl> <chr>  
#>  1 20641367 Aaron (2005)   Invertebrate Biodiversity in Agricultu~  2005 2005-2~
#>  2 20641374 Aavik (2008)   What is the role of local landscape st~  2008 2005-2~
#>  3 20641375 Aavik (2010)   Quantifying the effect of organic farm~  2010 2010-2~
#>  4 20641382 Abu-Zreig (20~ Experimental investigation of runoff r~  2004 2000-2~
#>  5 20641384 Abu-Zreig (20~ Phosphorus removal in vegetated filter~  2003 2000-2~
#>  6 20641386 Adams (2013)   Disturbance and landscape effects on a~  2013 2010-2~
#>  7 20641389 Ahern (2002)   Effect of different wheat production s~  2002 2000-2~
#>  8 20641390 Al (2013)      Does the presence of grassy strips and~  2013 2010-2~
#>  9 20641397 Alignier (201~ Changes in management practices over t~  2015 2015-2~
#> 10 20641398 Anan'eva (200~ Comparative assessment of soil microbi~  2008 2005-2~

See

?bufferstrips

for more details.

Installation

You can install

the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("softloud/sysrevdata")

Contributing to this

This is work that extended from ideas generated at the Evidence Synthesis Hackathon; it is the voluntary work of open scientists who welcome contributions. If you have an idea for an improvement or extension, please consider contributing a pull request or opening an issue.