Validate References
Check BibTeX entries for completeness, accuracy, consistency. Covers required fields per entry type, DOI resolution via CrossRef, URL access, dup detection, structured report by severity. Ensures .bib publication-ready before render.
Use When
- Manuscript bib for journal submission
- Audit shared .bib before project milestone
- After merging bibs from multi sources
- Citations render incorrectly → diagnose .bib issues
- CI check on .bib in version-controlled
In
- Required: Path to .bib
- Optional: Validation level (
basic,standard,strict; default:standard) - Optional: DOI resolution online check (default:
TRUE) - Optional: URL access check (default:
TRUE) - Optional: Out report path (default: console)
- Optional: CrossRef email for polite pool (recommended for large)
Do
Step 1: Install + Load Pkgs
required_packages <- c("RefManageR", "httr2", "curl")
missing <- required_packages[!vapply(required_packages, requireNamespace,
logical(1), quietly = TRUE)]
if (length(missing) > 0) install.packages(missing)
library(RefManageR)
Got: All pkgs load no errs.
If err: httr2 unavail → install.packages("httr2"). No curl headers → sudo apt install libcurl4-openssl-dev.
Step 2: Parse + Inventory
bib <- RefManageR::ReadBib("references.bib", check = FALSE)
message(sprintf("Loaded %d entries from references.bib", length(bib)))
# Inventory entry types
entry_types <- vapply(bib, function(x) tolower(attr(x, "bibtype")), character(1))
type_counts <- sort(table(entry_types), decreasing = TRUE)
message("Entry types:")
for (type in names(type_counts)) {
message(sprintf(" %s: %d", type, type_counts[[type]]))
}
Got: Summary entry types (article, book, inproceedings, etc.) + total count matching @type{ blocks.
If err: Parsing errs → malformed BibTeX. Check unmatched braces, missing commas between fields, invalid UTF-8.
Step 3: Validate Required Fields
# BibTeX required fields by entry type
required_fields <- list(
article = c("author", "title", "journal", "year"),
book = c("author", "title", "publisher", "year"),
inproceedings = c("author", "title", "booktitle", "year"),
incollection = c("author", "title", "booktitle", "publisher", "year"),
phdthesis = c("author", "title", "school", "year"),
mastersthesis = c("author", "title", "school", "year"),
techreport = c("author", "title", "institution", "year"),
misc = c("author", "title", "year"),
unpublished = c("author", "title", "note")
)
validate_fields <- function(bib) {
issues <- list()
for (i in seq_along(bib)) {
key <- names(bib)[i]
entry_type <- tolower(attr(bib[[i]], "bibtype"))
req <- required_fields[[entry_type]]
if (is.null(req)) {
issues[[length(issues) + 1]] <- list(
key = key, severity = "warning",
message = sprintf("Unknown entry type: %s", entry_type)
)
next
}
for (field in req) {
value <- bib[[i]][[field]]
if (is.null(value) || !nzchar(trimws(as.character(value)))) {
issues[[length(issues) + 1]] <- list(
key = key, severity = "error",
message = sprintf("Missing required field: %s (type: %s)", field, entry_type)
)
}
}
}
issues
}
field_issues <- validate_fields(bib)
message(sprintf("Field validation: %d issues found", length(field_issues)))
Got: List of issues where required missing. Zero for well-maintained.
If err: Runs locally, no fail expected. If fails → check .bib parsed in Step 2.
Step 4: Resolve + Validate DOIs
validate_dois <- function(bib, email = NULL) {
issues <- list()
# Set polite API headers
headers <- list(`User-Agent` = "R-bibliography-validator/1.0")
if (!is.null(email)) {
headers[["mailto"]] <- email
}
for (i in seq_along(bib)) {
key <- names(bib)[i]
doi <- bib[[i]]$doi
if (is.null(doi) || !nzchar(doi)) {
issues[[length(issues) + 1]] <- list(
key = key, severity = "info",
message = "No DOI present"
)
next
}
# Normalize DOI
doi <- gsub("^https?://doi\\.org/", "", doi)
doi <- gsub("^doi:", "", doi, ignore.case = TRUE)
doi <- trimws(doi)
# Resolve via CrossRef
tryCatch({
resp <- httr2::request(sprintf("https://api.crossref.org/works/%s", doi)) |>
httr2::req_headers(!!!headers) |>
httr2::req_timeout(10) |>
httr2::req_perform()
if (httr2::resp_status(resp) != 200) {
issues[[length(issues) + 1]] <- list(
key = key, severity = "error",
message = sprintf("DOI does not resolve: %s (HTTP %d)", doi,
httr2::resp_status(resp))
)
}
}, error = function(e) {
issues[[length(issues) + 1]] <<- list(
key = key, severity = "warning",
message = sprintf("DOI check failed for %s: %s", doi, e$message)
)
})
Sys.sleep(0.5) # Rate limiting
}
issues
}
# Only run online checks if requested
doi_issues <- validate_dois(bib, email = "your.email@example.com")
message(sprintf("DOI validation: %d issues found", length(doi_issues)))
Got: Each DOI resolves (HTTP 200 from CrossRef). No-DOI entries flagged informational.
If err: Net errs|rate limiting → warnings not hard fails. Set email for higher rate limits via CrossRef polite pool.
Step 5: URL Access
validate_urls <- function(bib) {
issues <- list()
for (i in seq_along(bib)) {
key <- names(bib)[i]
url <- bib[[i]]$url
if (is.null(url) || !nzchar(url)) next
tryCatch({
resp <- httr2::request(url) |>
httr2::req_method("HEAD") |>
httr2::req_timeout(10) |>
httr2::req_error(is_error = function(resp) FALSE) |>
httr2::req_perform()
status <- httr2::resp_status(resp)
if (status >= 400) {
issues[[length(issues) + 1]] <- list(
key = key, severity = "warning",
message = sprintf("URL returned HTTP %d: %s", status, url)
)
}
}, error = function(e) {
issues[[length(issues) + 1]] <<- list(
key = key, severity = "warning",
message = sprintf("URL unreachable: %s (%s)", url, e$message)
)
})
Sys.sleep(0.3)
}
issues
}
url_issues <- validate_urls(bib)
message(sprintf("URL validation: %d issues found", length(url_issues)))
Got: All URLs HTTP 200 (or 301/302 redirects). Broken links flagged.
If err: Some servers block HEAD → retry GET for failed HEAD checks. Timeouts common for slow academic servers.
Step 6: Detect Dups
detect_duplicates <- function(bib) {
issues <- list()
# Check for duplicate DOIs
dois <- vapply(bib, function(x) {
d <- x$doi
if (is.null(d)) NA_character_ else tolower(trimws(d))
}, character(1))
doi_table <- table(dois[!is.na(dois)])
dup_dois <- names(doi_table[doi_table > 1])
for (d in dup_dois) {
keys <- names(bib)[which(dois == d)]
issues[[length(issues) + 1]] <- list(
key = paste(keys, collapse = ", "), severity = "error",
message = sprintf("Duplicate DOI %s in entries: %s", d,
paste(keys, collapse = ", "))
)
}
# Check for duplicate titles (fuzzy)
titles <- vapply(bib, function(x) {
t <- x$title
if (is.null(t)) NA_character_ else tolower(gsub("[^a-z0-9 ]", "", tolower(t)))
}, character(1))
seen <- character(0)
for (i in seq_along(titles)) {
if (is.na(titles[i])) next
for (j in seen) {
if (identical(titles[i], titles[as.integer(j)])) {
issues[[length(issues) + 1]] <- list(
key = sprintf("%s, %s", names(bib)[as.integer(j)], names(bib)[i]),
severity = "warning",
message = sprintf("Possible duplicate titles: '%s'",
substr(bib[[i]]$title, 1, 60))
)
}
}
seen <- c(seen, as.character(i))
}
issues
}
dup_issues <- detect_duplicates(bib)
message(sprintf("Duplicate detection: %d issues found", length(dup_issues)))
Got: Zero dups for clean. Detected dups flagged w/ specific keys.
Step 7: Generate Report
generate_report <- function(all_issues, bib, output_file = NULL) {
errors <- Filter(function(x) x$severity == "error", all_issues)
warnings <- Filter(function(x) x$severity == "warning", all_issues)
infos <- Filter(function(x) x$severity == "info", all_issues)
lines <- c(
"# Bibliography Validation Report",
"",
sprintf("**File**: references.bib"),
sprintf("**Entries**: %d", length(bib)),
sprintf("**Date**: %s", Sys.Date()),
"",
sprintf("## Summary: %d errors, %d warnings, %d info",
length(errors), length(warnings), length(infos)),
""
)
if (length(errors) > 0) {
lines <- c(lines, "## Errors", "")
for (issue in errors) {
lines <- c(lines, sprintf("- **[%s]** %s", issue$key, issue$message))
}
lines <- c(lines, "")
}
if (length(warnings) > 0) {
lines <- c(lines, "## Warnings", "")
for (issue in warnings) {
lines <- c(lines, sprintf("- **[%s]** %s", issue$key, issue$message))
}
lines <- c(lines, "")
}
report_text <- paste(lines, collapse = "\n")
if (!is.null(output_file)) {
writeLines(report_text, output_file)
message(sprintf("Report written to %s", output_file))
}
cat(report_text)
invisible(all_issues)
}
all_issues <- c(field_issues, doi_issues, url_issues, dup_issues)
generate_report(all_issues, bib, output_file = "validation-report.md")
Got: Structured md report listing all issues grouped by severity.
Check
- All entries have required fields per type (no field-check errs)
- All DOIs resolve to valid CrossRef records
- No dup DOIs in bib
- All URLs accessible (HTTP 200 or redirect)
- Validation report generated no R errs
- Zero errs in report for publication-ready bib
Traps
- DOI format inconsistency: DOIs may appear as
10.1234/...,https://doi.org/10.1234/..., ordoi:10.1234/.... Normalize before compare - CrossRef rate limit: Unauth req limited to ~50/sec. Always use
emailto join polite pool for higher - Transient URL fails: Academic servers occasionally timeout. Retry once before flagging
- Entry type variations: BibLaTeX uses
@onlinewhere BibTeX uses@misc. Validator should handle both - False positive dups: "Introduction"|"Methods" titles trigger fuzzy match. Review flagged manually
- Missing DOIs for older works: Pre-2000 often lack DOIs. Flag informational, not errs
→
manage-bibliography— fix issues found by validator (dedup, add fields)format-citations— format validated entries into styled citations../reporting/format-apa-report— APA needs complete validated refs../r-packages/write-vignette— vignettes w/ citations need valid .bib entries