Framework-programme reporting becomes a by-product of good data management — when researcher, output, and collaboration relationships are continuously reconciled.

Jun 11, 2026

A concrete policy framework for AI in research-information evaluation, aligned with DORA and CoARA. Four questions every research office should ask before adopting an AI feature.

Jun 10, 2026

Pursuing or defending a Carnegie research classification depends on accurate, consistent output and collaboration data — not a deadline reconstruction.

Jun 10, 2026

ROR is the persistent identifier for research organisations — 110,000+ entries, free, community-led, increasingly required by funders and platforms. What it is and how to adopt it.

Jun 9, 2026

REF 2029 is decided by data discipline, not last-minute effort. A readiness checklist for keeping outputs, attribution, and impact continuously reconciled.

Jun 9, 2026

CoARA has 800+ signatories and active 2026 momentum. What aligning your institution actually looks like in practice, and the data infrastructure it requires.

Jun 8, 2026

What QS, THE and ARWU actually measure, why research-data quality is the decisive lever, and how a modern RIMS turns the annual scramble into continuous, evidence-led strategy.

Jun 8, 2026

Where AI helps in a RIMS, where it does not, and the data discipline every AI feature depends on. A practical guide for research leaders deciding how to adopt responsibly.

Jun 7, 2026

Research that cannot be found does not build reputation. What makes researcher profiles discoverable — and why only reconciled data makes it sustainable.

May 19, 2026