How to quantify international co-authorship, partner-country distribution, and collaboration trends — and turn them from anecdote into strategy.

Jun 12, 2026

What the core bibliometric indicators measure, what distorts them, and why data reconciliation is the prerequisite for any credible ranking submission.

Jun 12, 2026

Every AI feature inside a RIMS depends on the data underneath. Why reconciliation, identifiers, and source coverage are the prerequisite — not the optional extra.

Jun 11, 2026

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

Jun 11, 2026

Indonesia's Universitas Hasanuddin runs Discover RIMS in production across 2,500+ researchers and 15,300+ publications. A short teaser — the full case study lives on a dedicated page.

Jun 10, 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

LLMs accelerate description and discovery in research information management. They mislead when used for evaluation. How to draw the line responsibly.

Jun 9, 2026