Discover RIMS Blog
Insights on research intelligence, rankings, accreditation, and modern research data management.
Build or buy a CRIS: an honest way to decide
Open-source CRIS platforms are real options. The decision is less about engineering capacity than about which problems your institution wants to own for the next decade.
Sep 28, 2026
SDG mapping of research output: what universities get wrong
Two systems analysing the same publications disagree more than they agree. What the studies show, why the classifiers differ, and how to report SDG figures that can be reproduced.
Sep 28, 2026
Internationalisation Metrics: Measuring Global Research Collaboration
How to quantify international co-authorship, partner-country distribution, and collaboration trends — and turn them from anecdote into strategy.
Jun 12, 2026
Bibliometrics for Ranking Submissions: h-index, FWCI and Citation Impact
What the core bibliometric indicators measure, what distorts them, and why data reconciliation is the prerequisite for any credible ranking submission.
Jun 12, 2026
AI is Only as Good as the Data Beneath It: The RIMS Data Foundation
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
Horizon Europe Reporting: Turning Research Data into Compliance
Framework-programme reporting becomes a by-product of good data management — when researcher, output, and collaboration relationships are continuously reconciled.
Jun 11, 2026
How Universitas Hasanuddin Modernised Its Research Information (Teaser)
Indonesia's Universitas Hasanuddin runs Discover RIMS in production across 2,400+ researchers and 17,000+ publications. A short teaser — the full case study lives on a dedicated page.
Jun 10, 2026
Responsible AI in Research Evaluation: A Policy Framework
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
Carnegie Classification Data Requirements: What Research Offices Need to Track
Pursuing or defending a Carnegie research classification depends on accurate, consistent output and collaboration data — not a deadline reconstruction.
Jun 10, 2026