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scholid

scholid provides lightweight, dependency-free utilities for working with scholarly identifiers in R. The package is designed as a small, well-tested foundation that can be safely reused by other packages and data workflows.

Installation

Install the released version from CRAN:

install.packages("scholid")

Scope

The package focuses on common identifier systems used in scholarly communication:

DOI
ORCID iD
ISBN
ISSN
arXiv
PubMed (PMID)
PubMed Central (PMCID)

Interface

User-available functions:

Function	Purpose
`scholid_types()`	List supported scholarly identifier types
`is_scholid(x, type)`	Test whether values conform to a given identifier type
`normalize_scholid(x, type)`	Normalize identifiers to canonical form
`extract_scholid(text, type)`	Extract identifiers of a given type from free text
`classify_scholid(x)`	Guess the identifier type of each input value
`detect_scholid_type(x)`	Detect identifier types from canonical or wrapped input values

Examples

# list supported scholarly identifier types
scholid::scholid_types()

## [1] "arxiv" "doi"   "isbn"  "issn"  "orcid" "pmcid" "pmid"

# test whether values match a given identifier type
scholid::is_scholid(
  x    = "10.1000/182",
  type = "doi"
)

## [1] TRUE

# normalize identifiers to canonical form
scholid::normalize_scholid(
  x    = "https://doi.org/10.1000/182",
  type = "doi"
)

## [1] "10.1000/182"

# extract identifiers of a given type from free text
scholid::extract_scholid(
  text = "See https://doi.org/10.1000/182 for details.",
  type = "doi"
)

## [[1]]
## [1] "10.1000/182"

# classify the identifier type of each input value
scholid::classify_scholid(
  x = c(
    "10.1000/182",
    "0000-0002-1825-0097",
    "not an id"
  )
)

## [1] "doi"   "orcid" NA

# detect identifier types from canonical or wrapped input values
scholid::detect_scholid_type(
  x = c(
    "https://doi.org/10.1000/182",
    "ORCID: 0000-0002-1825-0097",
    "arXiv:2101.00001",
    "not an id"
  )
)

## [1] "doi"   NA      "arxiv" NA

For more detailed usage patterns, including extraction from text and classification of mixed identifier columns, see the Get started vignette.

License

MIT

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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