Your articles deserve metadata as careful as the research they describe.
A metadata audit finds systematic problems across article pages, DOI deposits and feeds, then helps the editorial team prioritize corrections.
What is examined
Article identity
Title, subtitle, language, article type, journal source, volume, issue, pages or article number.
Contributors
Author order, given and family names, affiliations, corresponding-author information and supplied ORCID values.
Discovery text
Abstract, keywords and subject information, including missing fields and unwanted formatting fragments.
Dates and versions
Online and issue publication dates, correction dates, version relationships and consistency across formats.
Identifiers and links
DOI syntax and resolution, ISSN values, canonical URLs, redirects, licence URLs and source links.
Feeds and exports
Crossref, OAI-PMH, RSS, XML, CSV or sitemap availability, sample records, update behaviour and encoding.
Common problems an audit can reveal
- Author names merged into a single unstructured field
- DOIs resolving through broken or repeated redirects
- Publication dates that disagree across PDF, page and deposit
- Missing abstracts, licences or canonical source URLs
- HTML markup or encoding errors inside feed fields
- Duplicate records after platform migration
- Corrected or retracted articles without updated metadata
- OAI-PMH endpoints blocked by security or left unmonitored
A sustainable correction workflow
The most valuable result is not a one-time clean-up. The goal is to identify where errors enter the workflow, correct the template or export, test a representative sample and assign responsibility for monitoring future deposits.
Article-level GAI services may support up to 100 records during the annual term when the journal is eligible and a usable source is available. The service cannot guarantee citation performance, search ranking or acceptance by another database.
Make every article record easier to identify and maintain.
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