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 LindingRobert 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. Yates, Henry Rodriguez

Research output: Contribution to journalArticle

11 Scopus citations

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 U.S. National Cancer Institute (NCI) 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 upon two primary needs for the wide use of quality metrics: (i) an evolving list of comprehensive quality metrics and (ii) 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 Proteomics, Proteomics Clinical Applications, Journal of Proteome Research, and Molecular and Cellular Proteomics, 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 (US)
Pages (from-to)11-20
Number of pages10
JournalProteomics
Volume12
Issue number1
DOIs
StatePublished - Jan 2012

Keywords

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

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology

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

    Kinsinger, C. R., Apffel, J., Baker, M., Bian, X., Borchers, C. H., Bradshaw, R., Brusniak, M. Y., Chan, D. W., Deutsch, E. W., Domon, B., Gorman, J., Grimm, R., Hancock, W., Hermjakob, H., Horn, D., Hunter, C., Kolar, P., Kraus, H. J., Langen, H., ... Rodriguez, H. (2012). Recommendations for mass spectrometry data quality metrics for open access data (corollary to the Amsterdam principles). Proteomics, 12(1), 11-20. https://doi.org/10.1002/pmic.201100562