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medrxivr: Accessing and searching medRxiv preprint data in R #380

Description

@mcguinlu

Submitting Author: Luke McGuinness (@mcguinlu)
Repository: https://github.com/mcguinlu/medrxivr
Version submitted: 0.0.2
Editor: @maurolepore
Reviewer 1: @tts
Reviewer 2: @njahn82
Archive: TBD
Version accepted: TBD


  • Paste the full DESCRIPTION file inside a code block below:
Package: medrxivr
Title: Access MedRxiv Preprint Data
Version: 0.0.2
Authors@R: c(
    person("Luke", "McGuinness",
           role = c("aut", "cre"),
           email = "luke.mcguinness@bristol.ac.uk",
           comment = c(ORCID = "0000-0001-8730-9761")),
    person("Lena", "Schmidt",
           role = "aut",
           comment = c(ORCID = "0000-0003-0709-8226")))
Description: The medRxiv <https://www.medrxiv.org/> repository is a free online
    archive and distribution server for complete but unpublished manuscripts 
    (preprints) in the medical, clinical, and related health sciences. medrxivr
    provides programmatic access to both medRxiv API <https://api.biorxiv.org/>
    and a static snapshot of database, which is updated daily. Users can then 
    search for relevant records using regular expressions and Boolean logic, and
    can easily download the full-text PDFs of preprints matching their search 
    criteria. 
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Language: en-US
URL: https://github.com/mcguinlu/medrxivr
BugReports: https://github.com/mcguinlu/medrxivr/issues
Imports: 
    rvest,
    methods,
    dplyr,
    xml2,
    curl,
    jsonlite,
    httr,
    stringr,
    rlang
Suggests: 
    testthat (>= 2.1.0),
    knitr,
    rmarkdown,
    covr,
    kableExtra
VignetteBuilder: 
    knitr, 
    rmarkdown    
RoxygenNote: 7.1.0

Scope

  • Please indicate which category or categories from our package fit policies this package falls under: (Please check an appropriate box below. If you are unsure, we suggest you make a pre-submission inquiry.):

    • data retrieval
    • data extraction
    • data munging
    • data deposition
    • workflow automataion
    • version control
    • citation management and bibliometrics
    • scientific software wrappers
    • field and lab reproducibility tools
    • database software bindings
    • geospatial data
    • text analysis
  • Explain how and why the package falls under these categories (briefly, 1-2 sentences):
    medrxivr allows users to programmatically access data from medRxiv, a preprint respository for papers in medical, clinical, and related health sciences. The package also allows user to readily perform and document reproducible literature searches of the medRxiv database.

  • Who is the target audience and what are scientific applications of this package?
    The primary target of this package is systematic reviewers (i.e. me!), who frequently wish both to use more complicated queries (e.g. regular expresssions/Boolean combinations) when searching medRxiv than the official site currrently allows for, and who also wish to be easily able to download the full text PDFs of records matching their search. medrxivr helps with both of these challenges. However, anyone who wishes to find and retrieve relevant medRxiv records in R, for example to explore the distribution of preprints by subject area, will find the package useful.

  • Are there other R packages that accomplish the same thing? If so, how does yours differ or meet our criteria for best-in-category?
    As far as I am aware, no other package allows users to access medRxiv data in R.

  • If you made a pre-submission enquiry, please paste the link to the corresponding issue, forum post, or other discussion, or @tag the editor you contacted.
    Issue: Presubmission inquiry: medrxivr #369
    Editor: @annakrystalli

Technical checks

Confirm each of the following by checking the box.

This package:

Publication options

  • Do you intend for this package to go on CRAN?
  • Do you intend for this package to go on Bioconductor?
  • Do you wish to automatically submit to the Journal of Open Source Software? If so:
JOSS Options
  • The package has an obvious research application according to JOSS's definition.
    • The package contains a paper.md matching JOSS's requirements with a high-level description in the package root or in inst/.
    • The package is deposited in a long-term repository with the DOI: 10.5281/zenodo.3860024
    • (Do not submit your package separately to JOSS)
MEE Options
  • The package is novel and will be of interest to the broad readership of the journal.
  • The manuscript describing the package is no longer than 3000 words.
  • You intend to archive the code for the package in a long-term repository which meets the requirements of the journal (see MEE's Policy on Publishing Code)
  • (Scope: Do consider MEE's Aims and Scope for your manuscript. We make no guarantee that your manuscript will be within MEE scope.)
  • (Although not required, we strongly recommend having a full manuscript prepared when you submit here.)
  • (Please do not submit your package separately to Methods in Ecology and Evolution)

Code of conduct

Tagging my co-author @L-ENA for reference.

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