@thomas_rauter

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I just released the R package scholidonline to CRAN

scholidonline enables querying of scholarly identifier services to verify identifier existence, convert identifiers across systems, retrieve bibliographic metadata, and discover linked identifiers.
Supports common identifier types including DOI, PMID, PMCID,
arXiv, and ORCID.

Website: https://thomas-rauter.github.io/scholidonline/

#rstats #CRAN #opensource

Resolution, Conversion, Linking and Metadata for Scholarly Identifiers

Enables querying of scholarly identifier services to verify identifier existence, convert identifiers across systems, retrieve bibliographic metadata, and discover linked identifiers. Supports common identifier types including DOI, PMID, PMCID, arXiv, and ORCID.

I just released {scholid} to CRAN 🎉

A lightweight, dependency-free R package for detecting, normalizing, classifying, and extracting scholarly identifiers (DOI, ORCID, ISBN, ISSN, arXiv, PubMed).

Designed as a small, well-tested foundation for other R packages and data workflows.

📖 Documentation: https://thomas-rauter.github.io/scholid/

#rstats #CRAN #opensource

Tools for Scholarly and Academic Identifiers

Tools for detecting, normalizing, classifying, and extracting scholarly identifier strings. The package provides lightweight, dependency-free helpers for common identifier systems such as DOIs, ORCID iDs, ISBNs, ISSNs, arXiv identifiers, and PubMed identifiers. Functions are designed to be vectorized, predictable, and suitable as low-level building blocks for other R packages and data workflows.