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Journal article

Recommendations for Mass Spectrometry Data Quality Metrics for Open Access Data (Corollary to the Amsterdam Principles)

From

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 more

Policies 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
Publisher: WILEY‐VCH Verlag
Year: 2012
Pages: 11-20
ISSN: 16159853 and 16159861
Types: Journal article
DOI: 10.1002/pmic.201100562

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