Discover RIMS Blog
Insights on research intelligence, rankings, accreditation, and modern research data management.
Preparing for REF 2029: A Research Information Readiness Guide
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 Implementation for Research Offices: What Aligning Actually Means
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
AI-Assisted Author Disambiguation: What It Does and What It Cannot
AI changed what is possible in author name disambiguation — but only paired with ORCID, ROR, and human review where confidence is low. How it actually works inside a RIMS.
Jun 8, 2026
University Rankings & Research Intelligence: A Guide for Research Leaders
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
AI in Research Information Management: A Practical Guide
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
DBLP as a Complementary Data Source for Computer Science Researchers
For CS-heavy institutions, DBLP closes coverage gaps that cross-disciplinary indexes can miss. How it complements Scopus and OpenAlex inside a RIMS.
May 20, 2026
Scopus Author ID and ORCID Explained for Research Offices
Persistent author identifiers — Scopus Author ID and ORCID — are the foundation of credible researcher metrics. What each is, how to find them, how a RIMS uses them.
May 20, 2026
Open Science Data and Your Institution's Research Profile
Why ignoring open-science sources understates performance — and how to add coverage without sacrificing quality or trust.
May 20, 2026
Research Datasets in a RIMS: Capturing Non-Textual Outputs
Datasets, software, and other non-textual outputs are first-class research contributions. How a RIMS records them alongside publications without becoming a repository.
May 19, 2026