Journal article
Recommendations for Mass Spectrometry Data Quality Metrics for Open Access Data (Corollary to the Amsterdam Principles)
National Cancer Institute United States1
QIMR Berghofer Medical Research Institute2
Northeastern University3
European Bioinformatics Institute4
Thermo Fisher Scientific, Inc.5
SCIEX6
European Commission7
Wiley-VCH, Weinheim8
F. Hoffmann-La Roche AG9
Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark10
Department of Systems Biology, Technical University of Denmark11
Agilent Technologies12
Cellular and Molecular Logic Unit13
University of Michigan, Ann Arbor14
University of Georgia15
La Trobe University16
Pacific Northwest National Laboratory17
National Institute of Standards and Technology18
Vanderbilt-Ingram Cancer Center19
Scripps Research Institute20
Macquarie University21
National Institutes of Health22
University of Victoria BC23
University of California at San Diego24
Institute for Systems Biology25
Johns Hopkins University26
Luxembourg Clinical Proteomics Center27
...and 17 morePolicies supporting the rapid and open sharing of proteomic data are being implemented by the leading journals in the field. The proteomics community is taking steps to ensure that data are made publicly accessible and are of high quality, a challenging task that requires the development and deployment of methods for measuring and documenting data quality metrics.
On September 18, 2010, the United States National Cancer Institute convened the "International Workshop on Proteomic Data Quality Metrics" in Sydney, Australia, to identify and address issues facing the development and use of such methods for open access proteomics data. The stakeholders at the workshop enumerated the key principles underlying a framework for data quality assessment in mass spectrometry data that will meet the needs of the research community, journals, funding agencies, and data repositories.
Attendees discussed and agreed up on two primary needs for the wide use of quality metrics: 1) an evolving list of comprehensive quality metrics and 2) standards accompanied by software analytics. Attendees stressed the importance of increased education and training programs to promote reliable protocols in proteomics.
This workshop report explores the historic precedents, key discussions, and necessary next steps to enhance the quality of open access data. By agreement, this article is published simultaneously in the Journal of Proteome Research, Molecular and Cellular Proteomics, Proteomics, and Proteomics Clinical Applications as a public service to the research community.
The peer review process was a coordinated effort conducted by a panel of referees selected by the journals.
Language: | English |
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Publisher: | WILEY‐VCH Verlag |
Year: | 2012 |
Pages: | 11-20 |
ISSN: | 16159853 and 16159861 |
Types: | Journal article |
DOI: | 10.1002/pmic.201100562 |