Data & Measurement Gaps
Measurement gaps are documented explicitly so that limitations and research priorities remain visible.
Human Capacity draws on mature literatures, but the measurement landscape is fragmented. Existing instruments often measure neighboring constructs under different names, combine capacity with performance, focus on particular populations or diagnoses, or capture outcomes without identifying what produced them.
The Initiative therefore treats measurement gaps as scientific findings in their own right. A gap may mean that a construct has no adequate measure, that existing measures do not separate person from environment, that reference values are missing, that longitudinal data are absent, or that a population, culture, life stage or institutional context has not been adequately represented.
The 13-domain and candidate-capacity work creates a systematic way to ask where measurement is dense and where it is thin. Some functional areas already have established instruments; others are represented indirectly or not at all.
Making these gaps public prevents the measurement programme from implying more certainty than the evidence supports and creates a research agenda that can be shared across the Consortium.
Evidence & scientific lineage
COSMIN. Selecting the most suitable outcome measurement instrument. Guidance on content validity, internal consistency and evaluation of measurement properties. COSMIN — Selecting a measurement instrument
World Health Organization. WHO Disability Assessment Schedule (WHODAS 2.0). Cross-cultural measurement of functioning across cognition, mobility, self-care, getting along, life activities and participation. WHO — WHODAS 2.0
