authordown

authordown is an R package for managing author metadata and generating manuscript front matter, especially for large author lists.

中文文档

Online app: Open the app

Features

• Title page generation with affiliation numbering and correspondence notes
• Author metadata validation and normalization
• Acknowledgements, conflict of interest, and contribution sections
• Templates to standardize author data entry
• Shiny app for quick preview and export

Installation

From CRAN (once available):

install.packages("authordown")

From GitHub:

# install.packages("devtools")
devtools::install_github("zh1peng/authordown")

End-to-end workflow (offline safe)

1) Start from the bundled template

library(authordown)

# Use the bundled CSV template
template_path <- system.file("extdata", "authordown_template.csv", package = "authordown")
authors <- authordown_read_local(template_path)

You can also write a fresh template to your working directory:

authordown_template("authors.csv")

2) Generate a title page (with degree shown)

title_page <- generate_title_page(
  data = authors,
  title = "Example Paper",
  style = "default",
  show_degree = TRUE
)
cat(title_page)

3) Generate other sections

ack <- generate_acknowledgement(authors, style = "paragraph")
coi <- generate_conflict(authors, style = "paragraph")
contrib <- generate_contribution(authors, style = "bullets")

cat(ack)
cat("\n\n")
cat(coi)
cat("\n\n")
cat(contrib)

4) XLSX input

xlsx_path <- system.file("extdata", "authordown_template.xlsx", package = "authordown")
authors_xlsx <- authordown_read_local(xlsx_path)

Recommended workflow for online tables

If you manage authors in an online table, export it locally and then use authordown_read_local():

1. Export to CSV or XLSX (or TSV).
2. Read locally with authordown_read_local().

Supported formats: CSV, TSV, XLSX.

Affiliations

Use Affiliation1, Affiliation2, ... AffiliationN columns to list all affiliations for each author. There is no hard limit; add as many columns as needed. The title page numbers affiliations in the order they first appear.

Shiny app

Online app: Open the app

library(shiny)
shiny::runApp(system.file("shiny-app", package = "authordown"))

Workflow: download the template, fill it, upload it, preview the parsed data, then generate outputs for copy/paste.

Render sections for copy/paste

If you want rendered HTML for easy copy/paste into a manuscript system, use:

\dontrun{
html_path <- render_section_html(
  section_title = "Conflict of Interest",
  content_function = generate_conflict,
  data = authors,
  style = "paragraph"
)
}

Troubleshooting

• "Missing required column" means your file does not include required fields such as FirstName and LastName.
• "Corresponding authors must have an Email" means a row has Corresponding = TRUE but Email is blank.
• "ORCID values must use the 0000-0000-0000-0000 format" indicates a formatting error.

License

AGPL-3