myLaminin Perspectives

As research grows more data-driven, protecting personal information has never been more critical. Data anonymization helps researchers share and analyze sensitive datasets without exposing identities—but doing it well is complex. This article breaks down what anonymization is, why it matters, common methods, legal requirements, and how tools like myLaminin make secure, compliant collaboration possible.

Managing and protecting health information is both a legal and ethical obligation for healthcare and research institutions. HIPAA, the Health Insurance Portability and Accountability Act, sets federal standards to safeguard Protected Health Information (PHI). It gives individuals rights over their data, restricts disclosure, and requires safeguards. Covered entities and business associates, such as research platforms, must comply through privacy, security, and breach notifica

In today’s data-driven world, electronic record compliance is essential to operational success and regulatory survival. From GDPR to HIPAA and PIPEDA, organizations must follow strict standards to store, protect, and dispose of data responsibly. Tools like audit trails, encryption, and role-based access help reduce risk. For research institutions, platforms like myLaminin simplify this process—supporting secure, compliant, and collaborative data management at every stage.

Managing personal health information in Ontario means complying with PHIPA—one of Canada’s strongest health privacy laws. From consent management to secure access and audit trails, PHIPA sets clear rules for custodians and their partners. This beginner’s guide breaks down who’s covered, what’s required, and how platforms like myLaminin can help meet over 80% of PHIPA’s requirements—making privacy compliance easier for healthcare and research teams alike.

PIPEDA is Canada’s key privacy law, regulating how organizations handle personal data. Compliance ensures legal protection and builds customer trust. Based on ten core principles—like consent, accountability, and transparency—PIPEDA requires strong privacy policies, employee training, and ongoing audits. This article explores how to meet these requirements, overcome common challenges, and go beyond compliance to promote ethical data practices and long-term trust.