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myLaminin Perspectives
Integrating IoMT (Medical Devices) with Your RDM Platform
The Internet of Medical Things (IoMT) is transforming healthcare by enabling real-time data collection from connected devices like heart monitors and inhalers. But to unlock its full potential, healthcare organizations need a secure and scalable Research Data Management (RDM) platform. myLaminin provides that foundation—ensuring data integrity, standardization, and compliance—empowering institutions to deliver smarter, faster, and safer care.

Alain Lai
Jun 165 min read


The DDI Metadata Standard
The DDI (Data Documentation Initiative) is a metadata standard designed to document the full research data lifecycle, improving discoverability, reuse, and reproducibility—especially in social sciences. Unlike DataCite, which focuses on citation and discoverability, DDI captures detailed context like methodology and data processing. Platforms like myLaminin support DDI integration, helping researchers enhance metadata quality without added complexity.

Keagan James
Jun 125 min read


How Good RDM Platforms Can Support Digital Twins
Robust Research Data Management (RDM) is the backbone of reliable digital twins, ensuring consistent, accurate, and scalable data inputs. Without it, even the best models can mislead. myLaminin, a blockchain-enabled RDM platform, empowers organizations to govern data across systems with integrity and flexibility. With features like immutable audit trails and customizable storage, myLaminin helps digital twin projects stay accurate, compliant, and future-ready.

Alain Lai
Jun 44 min read


Budgeting for Data Management
Effective budgeting for data management is key to research compliance and sustainability. Under NIH’s Data Management and Sharing (DMS) policy, institutions must plan early for costs like storage, curation, repository fees, and compliance. These must be detailed in grant budgets. Platforms like myLaminin help by enabling accurate cost forecasting, secure storage, and efficient data stewardship—supporting institutions in meeting funder expectations.

Nashia Hussain
May 295 min read


What Research Project Metadata Should be Captured to Support FAIR and Open Science Principles?
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.

Alain Lai
May 284 min read


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