myLaminin Perspectives

This paper advocates a fundamental rethinking of how Higher Education (HE) researchers conduct their research - specifically their Research Data Management (RDM) practices. New regulatory requirements, research security threats, and evolving expectations of research transparency and reproducibility warrant a new and fresh approach.

Research Data Management (RDM) platforms make FAIR principles and Open Science practical for modern research. By supporting the full data lifecycle—from collection to archiving—RDM platforms ensure data is Findable, Accessible, Interoperable, and Reusable. With persistent identifiers, metadata standards, real-time audit trails, and collaboration tools, platforms like myLaminin help researchers embed FAIR practices and accelerate reproducible, trustworthy science.

Research Data Management is often treated as overhead but the real cost shows up in lost researcher time, duplicated tools, compliance risk, and missed funding opportunities. This article breaks down the hidden financial impact of poor RDM and explains how universities can calculate real ROI. If budgets are tight and accountability is rising, RDM can no longer be an afterthought, it’s a strategic investment.

To support FAIR and Open Science principles, research projects must capture metadata across three categories: descriptive (e.g., title, keywords), administrative (e.g., funding, ethics), and technical (e.g., file formats, tools). Structured metadata makes research discoverable, accessible, ethical, and reusable—extending its value. Tools like myLaminin streamline this through integrated metadata capture and research data management.

Modern research is global, cross-disciplinary, and complex. Teams need more than storage — they need secure, compliant, intelligent collaboration tools. That’s why they choose myLaminin.