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Funding dimension: absent metadata ≠ absent funding #6

@aadivar

Description

@aadivar

Problem

The funding dimension (20/100 points) assumes all published research has external funding. This systematically disadvantages humanities, arts, and social science publishers whose content is legitimately unfunded.

Crossref's coverage API reports "X% of DOIs have funder metadata" but makes no distinction between:

  • Missing metadata — funded research where the publisher didn't deposit acknowledgements (a real gap)
  • Unfunded research — work that genuinely had no external funding (not a gap)

A humanities publisher with perfect metadata everywhere else caps at 80/100.

Why this is hard to fix with current data

  • No discipline signal at the member level. The Crossref Member API doesn't include subject classifications. Journals have optional ASJC codes, but publishers often span multiple disciplines.
  • No "unfunded" assertion in the Crossref schema. Publishers can deposit funder info when it exists, but can't declare "no funding received."
  • Per-content-type breakdowns help but don't solve it. We can see that book chapters score differently from journal articles, but a philosophy monograph and a biomedical monograph get the same treatment.

This is structurally similar to #4 (ORCID penalizing institutional authors) — the scoring assumes a model of individual, funded academic authorship that doesn't hold across all scholarly publishing.

Possible approaches

  1. Content-type-aware weight adjustment — Reduce funding weight for content types structurally less likely to be funded (monographs, book chapters, edited books), redistribute points to other dimensions.
  2. Threshold-based normalization — If funding coverage is near-zero (<5%) across all content types, treat the dimension as N/A and normalize the score out of 80.
  3. External enrichment — Use OpenAlex or ASJC subject classifications at the journal level to infer discipline mix and adjust weights accordingly.
  4. Methodology note — At minimum, document this limitation on the site.

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Raised by Andy Byers on LinkedIn

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    community-feedbackFeedback from the scholarly communitymethodologyScoring weights, dimensions, and grading logic

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