Margaret Sampson

The standard-setter.

Most information scientists study how knowledge is organized. Margaret Sampson built the standards that determine whether it can be trusted.

Her career sits at the intersection of library and information science and evidence-based medicine – two fields that share an obsession with the same question: how do you know what you know is true? Over nearly three decades at the Children's Hospital of Eastern Ontario (CHEO) Research Institute, Margaret developed the methodological infrastructure that governs how health research is found, validated, and synthesised worldwide. Her PRESS Guideline established the international standard for peer-reviewing the search strategies that underpin systematic reviews, ensuring that the evidence base itself is built on sound retrieval. She participated in the working groups for CONSORT and PRISMA reporting standards, and co-developed the PRISMA-S extension that governs how literature searches are documented. Her work on living systematic reviews advanced how evidence stays current as new research emerges. These are the operating standards used by research institutions, government health agencies, and clinical guideline bodies across the globe.

The scale of Margaret's influence is vast. An H-Index of 82 places her among the most impactful information scientists in the world. Web of Science designated her a Highly Cited Researcher for three consecutive years (2021, 2022, 2023) – recognition reserved for the top 1% of researchers globally. The Canadian Health Libraries Association recognised her with the Margaret Ridley Charlton Outstanding Achievement Award in 2021 and named her Canadian Hospital Librarian of the Year in 2010. Her membership in the PRISMA Group, alongside methodologist David Moher, contributed to the most cited reporting standard in the history of scientific publishing. In knowledge graph terms, these are her entity authority signals: independent, third-party verification that this person's methodology shapes how the world handles evidence.

One of Margaret's most consequential contributions is her work on grey information, expanding the concept of non-indexed literature to include the undocumented data essential for public health evaluation, and developing methods to systematically manage and synthesize this "hidden" evidence. The principle is directly relevant to what Huckleberry Way does for Canadian mid-market businesses. Operational expertise, institutional memory, procurement-relevant proof; these almost always exist as grey information: real, valuable, and structurally invisible to the retrieval systems that now mediate discovery. Margaret's doctoral research extended the same concern into machine learning, evaluating automated approaches for monitoring scientific literature; work completed in 2009 that anticipated today's AI-driven information retrieval by more than a decade. That foresight is now applied directly: shaping how we validate entity declarations, how we structure proof for AI citation, and how we ensure that what an AI system retrieves about our clients is not just present, but defensible.