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

Publication: Research - peer-reviewJournal article – Annual report year: 2012

  • Author: Kinsinger, Christopher R.

    National Cancer Institute, United States

  • Author: Apffel, James

    Agilent Research Laboratories, United States

  • Author: Baker, Mark

    Macquarie University, United States

  • Author: Bian, Xiaopeng

    US National Institute of Health, United States

  • Author: Borchers, Christoph H.

    University of Victoria, Canada

  • Author: Bradshaw, Ralph

    University of California, United States

  • Author: Brusniak, Mi-Youn

    Institute for Systems Biology, United States

  • Author: Chan, Daniel W.

    Johns Hopkins University, United States

  • Author: Deutsch, Eric W.

    Institute for Systems Biology, United States

  • Author: Domon, Bruno

    Luxembourg Clinical Proteomics Center, Luxembourg

  • Author: Gorman, Jeff

    QIMR Berghofer Medical Research Institute, Australia

  • Author: Grimm, Rudolf

    Agilent Technologies, United States

  • Author: Hancock, William

    Northeastern University, United States

  • Author: Hermjakob, Henning

    European Bioinformatics Institute, United Kingdom

  • Author: Horn, David

    Thermo Fisher Scientific, United States

  • Author: Hunter, Christie

    AB SCIEX, United States

  • Author: Kolar, Patrik

    European Commission, Belgium

  • Author: Kraus, Hans-Joachim

    Wiley-VCH, Weinheim, Germany

  • Author: Langen, Hanno

    Hoffmann-La Roche, Switzerland

  • Author: Linding, Rune

    Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Anker Engelunds Vej, 2800, Kgs. Lyngby, Denmark

  • Author: Moritz, Robert L.

    Cellular and Molecular Logic Unit, United States

  • Author: Omenn, Gilbert S.

    University of Michigan, United States

  • Author: Orlando, Ron

    University of Georgia, United States

  • Author: Pandey, Akhilesh

    Johns Hopkins University, United States

  • Author: Ping, Peipei

    University of California, United States

  • Author: Rahbar, Amir

    National Cancer Institute, United States

  • Author: Rivers, Robert

    AB SCIEX, United States

  • Author: Seymour, Sean L.

    US National Institute of Health, United States

  • Author: Simpson, Richard J.

    La Trobe University, Australia

  • Author: Slotta, Douglas

    US National Institute of Health, United States

  • Author: Smith, Richard D.

    Pacific Northwest National Laboratory, United States

  • Author: Stein, Stephen E.

    National Institute of Standards and Technology, United States

  • Author: Tabb, David L.

    Vanderbilt-Ingram Cancer Center, United States

  • Author: Tagle, Danilo

    US National Institute of Health, United States

  • Author: Yates, John R., III

    The Scripps Research Institute, United States

  • Author: Rodriguez, Henry

    National Cancer Institute, United States

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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.
Original languageEnglish
Issue number1
Pages (from-to)11-20
StatePublished - 2012
CitationsWeb of Science® Times Cited: 19


  • Amsterdam principles, Bioinformatics, Data quality, Metrics, Open access, Selected reaction monitoring, Standards
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ID: 9877613