Package 'roadoi'

Title: Find Free Versions of Scholarly Publications via Unpaywall
Description: This web client interfaces Unpaywall <https://unpaywall.org/products/api>, formerly oaDOI, a service finding free full-texts of academic papers by linking DOIs with open access journals and repositories. It provides unified access to various data sources for open access full-text links including Crossref and the Directory of Open Access Journals (DOAJ). API usage is free and no registration is required.
Authors: Najko Jahn [aut, cre], Tuija Sonkkila [rev] (Tuija Sonkkila reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/115, <https://orcid.org/0000-0002-6892-9305>), Ross Mounce [rev] (Ross Mounce reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/115, <https://orcid.org/0000-0002-3520-2046>), Anne Hobert [ctb] , Delwen Franzen [ctb]
Maintainer: Najko Jahn <[email protected]>
License: MIT + file LICENSE
Version: 0.7.2
Built: 2024-08-29 23:15:59 UTC
Source: https://github.com/ropensci/roadoi

Help Index


R Client for the Unpaywall-API

Description

What is this client for?: roadoi interacts with the Unpaywall data service, which links DOIs representing scholarly works with open access versions.

Details

Use the oadoi_fetch() function in this package to get open access status information and full-text links from Unpaywall.

You are welcome to contribute to this package. Use GitHub's issue tracker for bug reporting and feature requests.

More details about the Unpaywall API: https://unpaywall.org/products/api.


Fetch open access status information and full-text links using Unpaywall

Description

This is the main function to retrieve comprehensive open access status information from Unpaywall data service. Please play nice with the API. For each user, 100k calls per day are suggested. If you need to access more data, there is also a data dump available. For more info see https://unpaywall.org/products/snapshot.

Usage

oadoi_fetch(
  dois = NULL,
  email = Sys.getenv("roadoi_email"),
  .progress = "none",
  .flatten = FALSE
)

Arguments

dois

character vector, search by a single DOI or many DOIs. A rate limit of 100k requests per day is suggested. If you need to access more data, request the data dump https://unpaywall.org/dataset instead.

email

character vector, mandatory! Unpaywall requires your email address, so that they can track usage and notify you when something breaks. Set email address in your '.Renviron' file with the option 'roadoi_email' options(roadoi_email = "[email protected]"). You can open your '.Renviron' file calling 'file.edit("~/.Renviron")'. Save the file and restart your R session. To stop sharing your email when using rcrossref, delete it from your '.Renviron' file.

.progress

Shows the plyr-style progress bar. Options are "none", "text", "tk", "win", and "time". See create_progress_bar for details of each. By default, no progress bar is displayed.

.flatten

Simplify open access evidence output. If 'TRUE' it transforms the nested column oa_locations so that each open access evidence variable has its own column and each row represents a single full-text. Following these basic principles of "Tidy Data" makes data analysis and export as a spreadsheet more straightforward.

Value

The result is a tibble with each row representing a publication. Here are the returned columns and descriptions according to the API docu:

doi DOI (always in lowercase).
best_oa_location list-column describing the best OA location. Algorithm prioritizes publisher hosted content (eg Hybrid or Gold), then prioritizes versions closer to the version of record (PublishedVersion over AcceptedVersion), then more authoritative repositories (PubMed Central over CiteSeerX).
oa_locations list-column of all the OA locations.
oa_locations_embargoed list-column of locations expected to be available in the future based on information like license metadata and journals' delayed OA policies
data_standard Indicates the data collection approaches used for this resource. 1 mostly uses Crossref for hybrid detection. 2 uses a more comprehensive hybrid detection methods.
is_oa Is there an OA copy (logical)?
is_paratext Is the item an ancillary part of a journal, like a table of contents? See here for more information https://support.unpaywall.org/support/solutions/articles/44001894783.
genre Publication type
oa_status Classifies OA resources by location and license terms as one of: gold, hybrid, bronze, green or closed. See here for more information https://support.unpaywall.org/support/solutions/articles/44001777288-what-do-the-types-of-oa-status-green-gold-hybrid-and-bronze-mean-.
has_repository_copy Is a full-text available in a repository?
journal_is_oa Is the article published in a fully OA journal?
journal_is_in_doaj Is the journal listed in the Directory of Open Access Journals (DOAJ).
journal_issns ISSNs, i.e. unique numbers to identify journals.
journal_issn_l Linking ISSN.
journal_name Journal title, not normalized.
publisher Publisher, not normalized.
published_date Date published
year Year published.
title Publication title.
updated_resource Time when the data for this resource was last updated.
authors Lists author information (family name, given name and author role sequence), if available.

The columns best_oa_location. oa_locations and oa_locations_embargoed are list-columns that contain useful metadata about the OA sources found by Unpaywall.

If .flatten = TRUE the list-column oa_locations will be restructured in a long format where each OA fulltext is represented by one row.

These are:

endpoint_id Unique repository identifier.
evidence How the OA location was found and is characterized by Unpaywall?
host_type OA full-text provided by publisher or repository.
is_best Is this location the best_oa_location for its resource?
license The license under which this copy is published, e.g. Creative Commons license.
pmh_id OAI-PMH endpoint where we found this location.
repository institution Hosting institution of the repository.
updated Time when the data for this location was last updated.
url The url_for_pdf if there is one; otherwise landing page URL.
url_for_landing_page The URL for a landing page describing this OA copy.
url_for_pdf The URL with a PDF version of this OA copy.
version The content version accessible at this location following the DRIVER 2.0 Guidelines (https://wiki.surfnet.nl/display/DRIVERguidelines/DRIVER-VERSION+Mappings

Note that Unpaywall schema is only informally described. Check also https://unpaywall.org/data-format.

Examples

## Not run: 
oadoi_fetch("10.1038/nature12373", email = "[email protected]")
oadoi_fetch(dois = c("10.1016/j.jbiotec.2010.07.030",
"10.1186/1471-2164-11-245"), email = "[email protected]")
# flatten OA evidence
roadoi::oadoi_fetch(dois = c("10.1186/s12864-016-2566-9",
                            "10.1103/physreve.88.012814",
                            "10.1093/reseval/rvaa038"),
                   email = "[email protected]", .flatten = TRUE)


## End(Not run)

Get open access status information.

Description

In general, use oadoi_fetch instead. It calls this method, returning open access status information from all your requests.

Usage

oadoi_fetch_(doi = NULL, email = NULL)

Arguments

doi

character vector,a DOI

email

character vector, mandatory! Unpaywall requires your email address, so that they can track usage and notify you when something breaks. Set email address in your '.Renviron' file with the option 'roadoi_email' options(roadoi_email = "[email protected]"). You can open your '.Renviron' file calling 'file.edit("~/.Renviron")'. Save the file and restart your R session. To stop sharing your email when using rcrossref, delete it from your '.Renviron' file.

Value

A tibble

Examples

## Not run: 
oadoi_fetch_(doi = c("10.1016/j.jbiotec.2010.07.030"))

## End(Not run)

Find OA copies with RStudio addin

Description

An RStudio addin to call oadoi_fetch(). Shows up as "Find free full-texts" in the RStudio addin menu.

Usage

roadoi_addin()

Details

The addin works as follows:

  1. Copy up to ten line-separated DOIs into the text area

  2. Press the button "Run!"

  3. Click on the links in the table to download full-text