reference-validator

To validate DOIs, extract them from Markdown, BibTeX, RIS, or TXT reference files and query the Crossref API to check validity and retrieve metadata. The process produces a detailed report flagging not-found, annotation, and masthead DOIs with high-confidence corrections.

Yes, you can batch process large reference sets for DOI extraction and citation checking. The tool preserves original references for audit while generating comprehensive validation reports and applying high-confidence DOI corrections.

Supported file formats for extracting DOIs to verify citations include Markdown, BibTeX, RIS, and TXT. The tool applies regex extraction to identify DOIs within these reference files before querying Crossref.

To correct invalid DOIs in a manuscript or systematic review, the system flags not-found entries and applies optional conservative correction thresholds to minimize false positives. It generates a report with recommended corrections based on Crossref metadata.

Yes, you need Python and the requests library to automate reference validation. The tool relies on the requests dependency to interact with the Crossref API for querying DOI validity and retrieving metadata.

The best way to handle annotation and masthead DOIs during citation validation is to use a tool that specifically flags them. The system identifies these distinct DOI types alongside not-found entries to ensure reference accuracy.