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Highlighted in 'Reproducibility, Standards and SOP in Bioinformatics' Workshop Collection

The qPMO network: quality management tools to improve research efficiency, reproducibility, data management and dissemination

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1 National Research Council CNR, Institute of Biomedicine and Molecular Immunology, Palermo, Italy
2 National Research Council CNR, Institute of Genetics and Biophysics, Naples, Italy
3 National Research Council, Institute of Molecular Biology and Pathology, Rome, Italy
4 National Research Council CNR, Institute of Experimental Endocrinology and Oncology, Naples, Italy
5 National Research Council CNR, Institute of Biosciences and Bioresources, Naples, Italy
6 Valore Qualità, Pavia, Italy
DOI
10.7287/peerj.preprints.2637v1
Published
Accepted
Subject Areas
Cell Biology, Food Science and Technology, Genetics, Molecular Biology, Science Policy
Keywords
quality management, best practice, data management, reproducibility, dissemination
Copyright
© 2016 Bongiovanni et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Bongiovanni A, Liguori GL, Colotti G, Cirafici AM, Di Carlo M, Digilio FA, Lacerra G, Lanati A, Mascia A, Kisslinger A. 2016. The qPMO network: quality management tools to improve research efficiency, reproducibility, data management and dissemination. PeerJ Preprints 4:e2637v1

Abstract

Quality disciplines have been widely used for decades in industrial and business fields. It is only in recent times, however, that Quality management and approaches have received proper attention in life science. In particular, the need for Quality standards in non-regulated research is a matter of considerable current debate inside international research community. The Quality and Project Management OpenLab (qPMO) is a research network involving 5 different Institutes and two Departmentes of the Italian National Research Council (CNR), aimed at realizing a Total Quality Management (TQM) model for Life Sciences laboratories. This TQM OpenLab model will act as a uniform environment in which strong, innovation-oriented research projects can be designed and developed according to international Quality standards and with the planning of Horizon 2020. Our experience demonstrates that Quality management tools can strongly support the management of scientific research through disseminating knowledge, best practice and interoperability and enhance of the economic value of project and research outcomes.

Author Comment

This poster was presented in the CHARME / EMBnet / NETTAB 2016 Workshop.

Supplemental Information

qPMO poster - Combined CHARME – EMBnet and NETTAB 2016 Workshop

DOI: 10.7287/peerj.preprints.2637v1/supp-1

Additional Information

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Antonella Bongiovanni conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, reviewed drafts of the paper.

Giovanna Lucia Liguori conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, reviewed drafts of the paper.

Gianni Colotti conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, reviewed drafts of the paper.

Anna Maria Cirafici performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables.

Marta Di Carlo performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables.

Filomena Anna Digilio performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables.

Giuseppina Lacerra performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables.

Antonella Lanati performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, reviewed drafts of the paper.

Anna Mascia performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables.

Annamaria Kisslinger conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, reviewed drafts of the paper.

Data Deposition

The following information was supplied regarding data availability:

The research in this article did not generate, collect or analyse any raw data or code.

Funding

This work was supported by the Italian Ministry of Economy and Finance (CNR-Project FaReBio Farmaci e Reti Biotecnologiche di Qualita`). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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The qPMO network: quality management tools to improve research efficiency, reproducibility, data management and dissemination
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