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https://github.com/ropensci/jstor
Import journal data from DfR (JSTOR)
https://github.com/ropensci/jstor
jstor peer-reviewed r r-package rstats text-analysis text-mining
Last synced: 3 months ago
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Import journal data from DfR (JSTOR)
- Host: GitHub
- URL: https://github.com/ropensci/jstor
- Owner: ropensci
- Created: 2017-12-13T10:48:30.000Z (almost 7 years ago)
- Default Branch: main
- Last Pushed: 2024-07-17T15:03:15.000Z (4 months ago)
- Last Synced: 2024-07-17T18:36:09.937Z (4 months ago)
- Topics: jstor, peer-reviewed, r, r-package, rstats, text-analysis, text-mining
- Language: R
- Homepage: https://docs.ropensci.org/jstor
- Size: 6.13 MB
- Stars: 46
- Watchers: 7
- Forks: 9
- Open Issues: 17
-
Metadata Files:
- Readme: README.Rmd
Awesome Lists containing this project
- jimsghstars - ropensci/jstor - Import journal data from DfR (JSTOR) (R)
README
---
output: github_document
---
```{r setup, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# jstor: Import and Analyse Data from Scientific Articles
**Author:** [Thomas Klebel](https://thomasklebel.eu)
**License:** [GPL v3.0](https://www.gnu.org/licenses/gpl-3.0.en.html)
[](https://github.com/ropensci/jstor/actions/workflows/check-standard.yaml)
[](https://ci.appveyor.com/project/tklebel/jstor)
[](https://codecov.io/github/ropensci/jstor?branch=master)
[](https://www.tidyverse.org/lifecycle/#maturing)
[](https://cran.r-project.org/package=jstor)
[](https://CRAN.R-project.org/package=jstor)
[](https://github.com/ropensci/onboarding/issues/189)
[](http://joss.theoj.org/papers/ba29665c4bff35c37c0ef68cfe356e44)
[](https://doi.org/10.5281/zenodo.1169861)
The tool [Data for Research (DfR)](http://www.jstor.org/dfr/) by JSTOR is a
valuable source for citation analysis and text mining. `jstor`
provides functions and suggests workflows for importing
datasets from DfR. It was developed to deal with very large datasets which
require an agreement, but can be used with smaller ones as well.
**Note**: As of 2021, JSTOR has moved changed the way they provide data to a new
platform called [Constellate](https://constellate.org/). The package `jstor` has
not been adapted to this change, and might therefore only be used for legacy
data that was optained from the old DfR platform.
The most important set of functions is a group of `jst_get_*` functions:
- `jst_get_article`
- `jst_get_authors`
- `jst_get_references`
- `jst_get_footnotes`
- `jst_get_book`
- `jst_get_chapters`
- `jst_get_full_text`
- `jst_get_ngram`
All functions which are concerned with meta data (therefore excluding
`jst_get_full_text` and `jst_get_ngram`) operate along the same lines:
1. The file is read with `xml2::read_xml()`.
2. Content of the file is extracted via XPATH or CSS-expressions.
3. The resulting data is returned in a `tibble`.
## Installation
To install the package use:
```{r, eval=FALSE}
install.packages("jstor")
```
You can install the development version from GitHub with:
```{r gh-installation, eval = FALSE}
# install.packages("remotes")
remotes::install_github("ropensci/jstor")
```
## Usage
In order to use `jstor`, you first need to load it:
```{r}
library(jstor)
library(magrittr)
```
The basic usage is simple: supply one of the `jst_get_*`-functions with a path
and it will return a tibble with the extracted information.
```{r, results='asis'}
jst_get_article(jst_example("article_with_references.xml")) %>% knitr::kable()
jst_get_authors(jst_example("article_with_references.xml")) %>% knitr::kable()
```
Further explanations, especially on how to use jstor's functions for importing
many files, can be found in the vignettes.
## Getting started
In order to use `jstor`, you need some data from DfR. From the
[main page](http://www.jstor.org/dfr/) you can create a dataset by searching for
terms and restricting the search regarding time, subject and content type. After
you created an account, you can download your selection. Alternatively,
you can download
[sample datasets](http://www.jstor.org/dfr/about/sample-datasets) with documents
from before 1923 for the US, and before 1870 for all other countries.
## Supported Elements
In their [technical specifications](http://www.jstor.org/dfr/about/technical-specifications),
DfR lists fields which should be reliably present in all articles and books.
The following table gives an overview, which elements are supported by `jstor`.
### Articles
|`xml`-field |reliably present |supported in `jstor`|
|:---------------------------------|:----------------|:-------------------|
|journal-id (type="jstor") |x |x |
|journal-id (type="publisher-id") |x |x |
|journal-id (type="doi") | |x |
|issn |x | |
|journal-title |x |x |
|publisher-name |x | |
|article-id (type="doi") |x |x |
|article-id (type="jstor") |x |x |
|article-id (type="publisher-id") | |x |
|article-type | |x |
|volume | |x |
|issue | |x |
|article-categories |x | |
|article-title |x |x |
|contrib-group |x |x |
|pub-date |x |x |
|fpage |x |x |
|lpage | |x |
|page-range | |x |
|product |x | |
|self-uri |x | |
|kwd-group |x | |
|custom-meta-group |x |x |
|fn-group (footnotes) | |x |
|ref-list (references) | |x |
### Books
|`xml`-field |reliably present |supported in `jstor`|
|:---------------------------------|:----------------|:-------------------|
|book-id (type="jstor") |x |x |
|discipline |x |x |
|call-number |x | |
|lcsh |x | |
|book-title |x |x |
|book-subtitle | |x |
|contrib-group |x |x |
|pub-date |x |x |
|isbn |x |x |
|publisher-name |x |x |
|publisher-loc |x |x |
|permissions |x | |
|self-uri |x | |
|counts |x |x |
|custom-meta-group |x |x |
### Book Chapters
|`xml`-field |reliably present |supported in `jstor`|
|:---------------------------------|:----------------|:-------------------|
|book-id (type="jstor") |x |x |
|part_id |x |x |
|part_label |x |x |
|part-title |x |x |
|part-subtitle | |x |
|contrib-group |x |x |
|fpage |x |x |
|abstract |x |x |
## Code of conduct
Please note that this project is released with a
[Contributor Code of Conduct](CONDUCT.md).
By participating in this project you agree to abide by its terms.
## Citation
To cite `jstor`, please refer to `citation(package = "jstor")`:
```
Klebel (2018). jstor: Import and Analyse Data from Scientific Texts. Journal of
Open Source Software, 3(28), 883, https://doi.org/10.21105/joss.00883
```
## Acknowledgements
Work on `jstor` benefited from financial support for the project "Academic
Super-Elites in Sociology and Economics" by the Austrian Science Fund (FWF),
project number "P 29211 Einzelprojekte".
Some internal functions regarding file paths and example files were adapted from
the package `readr`.
[](https://ropensci.org)