Reading Bibliometric Data from Lattes Platform

A simple API for downloading and reading xml data directly from Lattes < http://lattes.cnpq.br/>.


R-CMD-check

Package GetLattesData

Lattes is an unique and largest platform for academic curriculumns. There you can find information about the academic work of all Brazilian scholars. It includes institution of PhD, current employer, field of work, all publications metadata and more. It is an unique and reliable source of information for bibliometric studies.

I've been working with Lattes data for some time. Here I present a short list of papers that have used this data.

  • Is predatory publishing a real threat? Evidence from a large database study. Scientometrics

  • The Brazilian scientific output published in journals: A study based on a large CV database. Journal of Informetrics

  • The researchers, the publications and the journals of Finance in Brazil: An analysis based on resumes from the Lattes platform. Brazilian Review of Finance

  • Análise do Perfil dos Acadêmicos e de suas Publicações Científicas em Administração (in Portuguese. RAC

Package GetLattesData is a wrap up of functions I've been using for accessing the dataset.

Installation

The package is available in CRAN:

install.packages('GetLattesData')

You can also install the development version from Github:

#install.packages('devtools')
devtools::install_github('msperlin/GetLattesData')

Example of usage

See vignette for more examples.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("GetLattesData")

1.5.2 by Marcelo Perlin, a month ago


https://github.com/msperlin/GetLattesData/


Report a bug at https://github.com/msperlin/GetLattesData/issues


Browse source code at https://github.com/cran/GetLattesData


Authors: Marcelo Perlin [aut, cre]


Documentation:   PDF Manual  


GPL-2 license


Imports stringr, XML, dplyr, readr, stringdist, tools, lubridate, lifecycle, cli, xml2, tibble, janitor, purrr, readxl

Suggests knitr, rmarkdown, testthat, ggplot2


See at CRAN