For funders & agencies
Build fairer assessment systems with contextual evidence
ONE helps funders, agencies, and policy actors connect researcher-level evidence with institutional and system-level intelligence for more contextual, transparent, and responsible assessment.
A contextual evidence layer for funding ecosystems
Support reviewer discovery, programme monitoring, and responsible assessment workflows with structured evidence.
Funder and agency problem
Funders and agencies need evidence systems that reflect the diversity of research activity.
Funding decisions, reviewer selection, programme monitoring, and assessment reform require evidence that is transparent, contextual, and multidimensional.
Traditional data sources are often strong on publications and citations, but weaker on mentoring, peer review, leadership, open science, societal engagement, competences, and other contributions relevant to responsible assessment.
What ONE provides
A contextual evidence layer for funding ecosystems
ONE structures research evidence across indicators, dimensions, cohorts, profiles, competences, roles, and geographical entities.
This can support reviewer discovery, programme monitoring, responsible assessment pilots, and evidence reuse across application and reporting workflows.
Funder and agency use cases
How funders and agencies can use ONE
Reviewer discovery
Identify potential reviewers using contextual evidence, expertise signals, roles, and contribution profiles.
Programme monitoring
Monitor research activity across outputs, collaboration, open science, societal engagement, and other structured signals.
Responsible assessment pilots
Test multidimensional and contextual assessment approaches with selected programmes or communities.
Evidence reuse
Reduce repeated reporting by helping researchers maintain reusable evidence records.
Landscape analysis
Explore research evidence across territories, institutions, fields, and cohorts.
Alignment with responsible assessment
Designed to support assessment reform
ONE is designed to support assessment approaches that are contextual, transparent, and multidimensional.
The platform avoids treating journal-level proxies as the basis for assessment and supports interpretation across fields, career stages, and contribution types.
Explore responsible assessment infrastructure with us.
We are interested in pilot collaborations with funders and institutions that are experimenting with contextual and multidimensional research assessment.
See how ONE differs from CRIS/RIMS platforms, bibliometric analytics tools, open metadata dashboards, rankings, and outcomes reporting workflows.