SHARE Score
The 25 universal signals that measure how well research datasets are shared. Each dataset is scored 0-100 across 5 FAIR-aligned buckets.
SHARE 1.0 remains available for historical comparison. The live rubric is SHARE 2.0, which replaces outcome-based reuse points with deposit-time reusability evidence.
SHARE Score Formula
SHARE = (signals present / 25) × 100
Fixed denominator of 25 — unsupported signals score zero. Each signal contributes equally. Total: 0-100.
Key Innovation: Repository-Adaptive Pledges
Each repository publishes how its fields map to the universal signals. A dataset earns points only when a mapped signal contains valid data. Unsupported and non-evaluable signals score zero, and the denominator always remains 25. Pledges disclose a repository's ceiling; they never shrink the denominator.
Signal Derivation Methodology
Every signal is grounded in established metadata standards. Each was derived by surveying four authoritative sources: DataCite Metadata Schema 4.6 (20 properties), Dublin Core (15 core elements), schema.org/Dataset (Google Dataset Search), and the RDA FAIR Data Maturity Model (41 indicators). A signal is included when it meets convergent support from 2+ independent standards, maps to a specific FAIR sub-principle, is measurable across diverse repositories, and has discriminative power. Click any signal below to see its full derivation and justification.
Evidence scope: The prevalence and citation-rate statistics on this page belong to the legacy SHARE 1.0 research record. They are not part of the SHARE 2.0 score. The historical analysis script remains available for reproducibility: legacy validate_v2.py.
25 Universal Signals
FAIR Principle Crosswalk
How each FAIR sub-principle maps to specific SHARE signals. System-level requirements (F3, F4, A2) are handled by repository pledges, not dataset-level scoring.
Scoring Tiers
Bucket-Level FAIR Alignment
Add Your Repository
Map your repository's metadata fields to the 25 universal signals and join the SHARE registry.