A new quality management perspective for biodiversity conservation and research: Investigating Biospecimen Reporting for Improved Study Quality (BRISQ) and the Standard PRE-analytical Code (SPREC) using Natural History Museum and culture collections as case studies

Abstract

The aims of this paper are to debate and raise awareness about the use of systematic, interconnected approaches for biodiversity collection curation by exploring the multi-disciplinary relevance of quality management tools developed by clinical biobanks. An appraisal of their best practices indicated the need for improved sample and process chain annotation as a significant number of historical collections used in medical research were of inadequate quality. This stimulated the creation of a new discipline, biospecimen science to develop quality management tools for clinical biobanks, two of which, Biospecimen Reporting for Improved Study Quality (BRISQ) and the Standard PRE-analytical Code (SPREC) report critical information about samples and process chain variables. Unprecedented advances in molecular-genetic and in silico technologies applied across the tree of life require international conservation networks to generate and share knowledge. This is used in biodiversity and systematics research, and to address the accelerating loss of species, including the sustainable use of bioresources. This review investigates the application of BRISQ and SPREC for biodiversity research and conservation using natural history, museum and living culture collections as case studies. The distinction between preservation and conservation is discussed with regard to process and storage treatments and how they impact on the usability of biospecimens and cultures. We conclude: (i) more rigorous approaches are needed for the quality management of biospecimens, bioresources and their associated sample and processing data to assure their fitness-for-purpose; and (ii) biospecimen science tools developed by clinical biobanks can be adapted to future-proof the quality of biodiversity collections and the reliability of molecular data generated from their use.

Key words:

• biobanks
• collections
• gene banks
• pre-analytical variables
• quality management
• standards

Acknowledgements

The authors are very grateful to Professor Matthew Collins, Department of Archaeology, University of York; and colleagues at the London Natural History Museum: Dr Chris Lyal, Researcher, Dr Rob Huxley, Principal Curator, Dr Aidan Emery, Researcher and Culture Facility Manager, Dr Muriel Rabone, Data and Sample Coordinator, Miss Theresa Howard, Head of Entomology, Plant and Molecular Collections and Mr Adrian Hine, Senior Data Manager, for their critical review of this manuscript, helpful suggestions, and invaluable comments.

Disclaimer

Quality management information is provided for general use, readers have the ultimate responsibility to ensure quality and safety issues are addressed according to institutional obligations. Mention of trade names or commercial products is for the sole purpose of providing scientific information and does not imply any recommendation or endorsement by the authors.

Disclosure statement

No potential conflict of interest was reported by the authors.

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