Metadata Game Changers — Crossref Tools

100% in your browser — nothing uploaded, no login Live data from the Crossref REST API (polite pool) Any Crossref journal (ISSN) or member (publisher) Open — CC BY-NC 4.0, source on GitHub

New here? · For publishers & editors

Crossref Guide

A hands-on first session with your own journal or member — measure completeness, drill down, retrieve identifiers, and read your Participation Report evolution, end to end. It also explains how Crossref scores differ from DataCite scores and which concepts Crossref metadata can express.

Open the Crossref Guide →

Measure · FAIR

Crossref Completeness

Scores a Crossref journal or member against the MGC FAIR use cases — the concepts Crossref metadata can actually express — one concept at a time.

Text, Identifiers, and Connections use cases, concept by concept
Drill down to the real values behind each concept
Filter by content type, era (current / backfile), query, or sample
HTML / JSON reports for sharing and future analysis

Open Crossref Completeness →

Measure · Identifiers

Crossref Connectivity

Measures how well authors, editors, affiliations, and funders carry the identifiers that connect them — and shows how your metadata has changed over time.

ORCID, ROR, and funder-identifier coverage at a glance
Drill-downs list every unidentified name — quick wins first
One click sends them to the ROR / ORCID Retrievers
Crossref Metadata Evolution radar — current vs backfile, from your Participation Report

Open Crossref Connectivity →

Measure · Over time

Crossref History

Samples a journal’s or member’s works for each deposit year, scores every year with the same FAIR use cases, and plots how completeness has evolved — as the records are today.

Trend lines per use case, a radar grid, or an animated year-by-year movie
Group by deposit year or publication year; months and quarters for short ranges
Open any year’s exact sample in Completeness or Connectivity
PNG plots, CSV summaries, and JSON for your own analysis

Open Crossref History →

Retrieve · Organizations

ROR Retriever

Matches affiliation and funder names to ROR identifiers using the same affiliation-matching strategies DataCite, Crossref, and ROR use.

Careful algorithmic matching first, full query search as fallback
Color-coded confidence with full candidate details
CSV results ready for analysis and re-curation

Open ROR Retriever →

Retrieve · People

ORCID Retriever

Finds ORCID iDs for lists of people, showing each candidate’s most recent employment and journal so the right person is easy to pick.

Handles “First Last” and “Last, First” name forms
Built-in disambiguation for common names
CSV results ready for analysis and re-curation

Open ORCID Retriever →

The tools work as a pipeline. Measure a journal’s or member’s completeness and connectivity → drill down to the specific people and organizations missing identifiers → retrieve their RORs and ORCIDs with one click → re-curate your Crossref deposits and watch the coverage improve. Every hand-off carries its context, so you always know which selection you are improving. The Crossref Guide walks you through the whole loop.

Crossref scores are not comparable to DataCite scores. The two ecosystems carry different metadata, so a Crossref FAIR total is measured against a smaller, Crossref-expressible catalog. Compare a Crossref member to another Crossref member — and see the Crossref Guide for the concept mappings and the four documented approximations.

Try them now — no install, no account: metadata-game-changers.github.io/recuration-watch/crossrefCompleteness.html
Questions, ideas, or a title you’d like help with? Contact Metadata Game Changers — Better Documentation | Better Data | Better Science.

See how complete your Crossref metadata are — then improve them.