Skip to main navigation Skip to search Skip to main content

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

  • Christopher R. Kinsinger
  • , James Apffel
  • , Mark Baker
  • , Xiaopeng Bian
  • , Christoph H. Borchers
  • , Ralph Bradshaw
  • , Mi-Youn Brusniak
  • , Daniel W. Chan
  • , Eric W. Deutsch
  • , Bruno Domon
  • , Jeff Gorman
  • , Rudolf Grimm
  • , William Hancock
  • , Henning Hermjakob
  • , David Horn
  • , Christie Hunter
  • , Patrik Kolar
  • , Hans-Joachim Kraus
  • , Hanno Langen
  • , Rune Linding
  • Robert L. Moritz, Gilbert S. Omenn, Ron Orlando, Akhilesh Pandey, Peipei Ping, Amir Rahbar, Robert Rivers, Sean L. Seymour, Richard J. Simpson, Douglas Slotta, Richard D. Smith, Stephen E. Stein, David L. Tabb, Danilo Tagle, John R., III Yates, Henry Rodriguez
    • National Cancer Institute United States
    • Agilent Technologies
    • National Institutes of Health
    • University of Victoria BC
    • University of California at San Diego
    • Institute for Systems Biology
    • Johns Hopkins University
    • Luxembourg Clinical Proteomics Center
    • QIMR Berghofer Medical Research Institute
    • Northeastern University
    • European Bioinformatics Institute
    • Thermo Fisher Scientific, Inc.
    • SCIEX
    • European Commission
    • Wiley-VCH, Weinheim
    • F. Hoffmann-La Roche AG
    • Cellular and Molecular Logic Unit
    • University of Michigan, Ann Arbor
    • La Trobe University
    • Pacific Northwest National Laboratory
    • National Institute of Standards and Technology
    • Vanderbilt-Ingram Cancer Center
    • Scripps Research Institute
    • Macquarie University
    • University of Georgia

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    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
    JournalProteomics - Clinical Applications
    Volume5
    Issue number11-12
    Pages (from-to)580-589
    ISSN1862-8346
    DOIs
    Publication statusPublished - 2011

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Amsterdam principles
    • Bioinformatics
    • Data quality
    • Metrics
    • Open access
    • Selected reaction monitoring
    • Standards

    Fingerprint

    Dive into the research topics of 'Recommendations for Mass Spectrometry Data Quality Metrics for Open Access Data (Corollary to the Amsterdam Principles)'. Together they form a unique fingerprint.

    Cite this