Management at the service of research: ReOmicS, a quality management system for omics sciences

Antonella Lanati (), Marinella Marzano, Caterina Manzari, Bruno Fosso, Graziano Pesole and Francesca De Leo ()
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Antonella Lanati: Valore Qualità
Marinella Marzano: Bioenergetica e Biotecnologie Molecolari (IBIOM), CNR
Caterina Manzari: Bioenergetica e Biotecnologie Molecolari (IBIOM), CNR
Bruno Fosso: Bioenergetica e Biotecnologie Molecolari (IBIOM), CNR
Graziano Pesole: Bioenergetica e Biotecnologie Molecolari (IBIOM), CNR
Francesca De Leo: Bioenergetica e Biotecnologie Molecolari (IBIOM), CNR

Palgrave Communications, 2019, vol. 5, issue 1, 1-13

Abstract: Abstract Management and research represent a binomial almost unknown, whose potentialities and requirements have not yet been fully exploited even if, recently, the scientific and social communities have felt the burden of producing results and data requiring at the same time reproducibility, reliability, safety and efficacy of the discoveries, as well as a profitable use of resources. A Quality Management System (QMS) could represent a valid tool for these purposes, improving the quality of the research. The research community could ask whether and how it is possible to apply this approach in a research laboratory without hindering their creativity, and what the possible benefits might be. On the other hand, an international standard for a quality management system appropriate for a research laboratory is yet to come. The choice, the design and the application of a QMS, inspired by the Good Laboratory Practices, in a research laboratory specialized on “omics” sciences, is fully described in this paper. Its application has already shown good outcomes as testified by specific metric of efficiency and effectiveness. The approach is innovative as there is no obvious requirement for research laboratories to develop and define quality objectives. The paper highlights how the QMS approach enhances the relationship with public and private sectors by increasing customer confidence and loyalty, as well as improving the overall performance of the laboratory in terms of throughput and value of research. These results encourage proposing it as a QMS model providing a new and scalable operational strategy to be applied in a research environment with the same target and even in a generic research laboratory.

Date: 2019
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DOI: 10.1057/s41599-019-0283-0

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