POSI - Panorama Scholarly Index
IRSTechnical Readiness · 0–15 points (TDF subfactor)

Indexing Readiness Score

IRS evaluates the technical infrastructure of a journal's website for academic discovery. It assesses OAI-PMH availability, sitemap structure, DOI resolution health, and metadata standards used for Google Scholar, Crossref, and aggregator indexing. Inside the PQF formula this same figure is labeled the Technical Discoverability Factor (TDF); IRS is its standalone name when published on this page.

14

A

13–15 pts

10

B

10–12 pts

6

C

7–9 pts

1

D

< 7 pts

IRS Scoring Criteria

#CriterionWhy It MattersPts
1sitemap.xml accessible, valid, and up to dateRequired for all major search engine crawlers2
2robots.txt permits academic crawlers (Googlebot, CrossrefBot)Blocking academic bots reduces indexing reach2
3OAI-PMH endpoint active and returns valid Dublin Core recordsStandard metadata harvesting protocol; required by many aggregators3
4Schema.org JSON-LD structured data on article pagesEnables Google Scholar, Bing Academic, and rich search results2
5Google Scholar citation meta tags on article pagesHighwire Press / PRISM tags for Google Scholar indexing2
6DOI links resolve correctly (< 5% broken DOIs)Broken DOIs prevent citation tracking and reader access2
7Journal pages accessible without broken links or 404 errorsStable URL structure required for persistent discoverability2
Total (TDF subfactor)15

IRS Grade Scale

A13–15 ptsFull technical readiness; eligible for all major aggregators
B10–12 ptsStrong readiness; minor gaps in Schema.org or OAI-PMH
C7–9 ptsDeveloping; OAI-PMH or sitemap issues present
D< 7 ptsEarly stage; significant technical barriers to indexing

How IRS Is Assessed

IRS is checked via automated crawls and manual verification of journal websites. The OAI-PMH endpoint is tested using the official OAI-PMH validator protocol. Sitemap validity is checked against the Sitemaps.org schema.

Google Scholar meta tags are checked against the Highwire Press citation_title / citation_doi standard. Schema.org JSON-LD is checked for ScholarlyArticle type markup on article pages.

DOI resolution is sampled across recently published articles. A journal with more than 5% unresolvable DOIs receives 0 points for that criterion.