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Beyond compliance: How accreditation can strengthen trust in science and research infrastructure

Published online by Cambridge University Press:  21 January 2026

Melissa V. Olson*
Affiliation:
Genetic Medicine, The Johns Hopkins University School of Medicine, USA
*
Corresponding author: M. V. Olson; Email: mvolson@jhu.edu
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Abstract

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Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of Association for Clinical and Translational Science
Figure 0

Table 1. Accreditation and quality frameworks–administrative summary at a glance. Major accreditation/quality programs differ in scope but converge on governance, documentation, training/competency, and continuous improvement. The resulting artifacts create auditable evidence that lowers risk and improves reproducibility across the enterprise

Figure 1

Figure 1. Accreditation logic model for core facilities. Inputs (leadership, modest QMS investment, accreditation pathway) drive accreditation practices (versioned SOPs, role-specific competency, QMS/CAPA, and traceability) that produce operational outputs (validated methods, auditable provenance, and lower variance), yielding outcomes (fewer QC failures, faster resolution, shorter TAT) and, ultimately, institutional value (alignment with NIH Rigor & DMS, eligibility for partnerships, improved stewardship/ROI).

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