Literature DB >> 22069307

Recommendations for mass spectrometry data quality metrics for open access data (corollary to the Amsterdam principles).

Christopher R Kinsinger1, 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 Yates, Henry Rodriguez.   

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.
Copyright © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2011        PMID: 22069307     DOI: 10.1002/pmic.201100562

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  7 in total

Review 1.  Cardiovascular redox and ox stress proteomics.

Authors:  Vikas Kumar; Timothy Dean Calamaras; Dagmar Haeussler; Wilson Steven Colucci; Richard Alan Cohen; Mark Errol McComb; David Pimentel; Markus Michael Bachschmid
Journal:  Antioxid Redox Signal       Date:  2012-08-10       Impact factor: 8.401

Review 2.  Minireview: progress and challenges in proteomics data management, sharing, and integration.

Authors:  Lauren B Becnel; Neil J McKenna
Journal:  Mol Endocrinol       Date:  2012-08-17

3.  New and improved proteomics technologies for understanding complex biological systems: addressing a grand challenge in the life sciences.

Authors:  Leroy E Hood; Gilbert S Omenn; Robert L Moritz; Ruedi Aebersold; Keith R Yamamoto; Michael Amos; Jennie Hunter-Cevera; Laurie Locascio
Journal:  Proteomics       Date:  2012-09       Impact factor: 3.984

4.  The mzIdentML data standard for mass spectrometry-based proteomics results.

Authors:  Andrew R Jones; Martin Eisenacher; Gerhard Mayer; Oliver Kohlbacher; Jennifer Siepen; Simon J Hubbard; Julian N Selley; Brian C Searle; James Shofstahl; Sean L Seymour; Randall Julian; Pierre-Alain Binz; Eric W Deutsch; Henning Hermjakob; Florian Reisinger; Johannes Griss; Juan Antonio Vizcaíno; Matthew Chambers; Angel Pizarro; David Creasy
Journal:  Mol Cell Proteomics       Date:  2012-02-27       Impact factor: 5.911

Review 5.  Making proteomics data accessible and reusable: current state of proteomics databases and repositories.

Authors:  Yasset Perez-Riverol; Emanuele Alpi; Rui Wang; Henning Hermjakob; Juan Antonio Vizcaíno
Journal:  Proteomics       Date:  2015-03       Impact factor: 3.984

6.  PRIDE Inspector Toolsuite: Moving Toward a Universal Visualization Tool for Proteomics Data Standard Formats and Quality Assessment of ProteomeXchange Datasets.

Authors:  Yasset Perez-Riverol; Qing-Wei Xu; Rui Wang; Julian Uszkoreit; Johannes Griss; Aniel Sanchez; Florian Reisinger; Attila Csordas; Tobias Ternent; Noemi Del-Toro; Jose A Dianes; Martin Eisenacher; Henning Hermjakob; Juan Antonio Vizcaíno
Journal:  Mol Cell Proteomics       Date:  2015-11-06       Impact factor: 5.911

7.  Saliva Proteomics Analysis Offers Insights on Type 1 Diabetes Pathology in a Pediatric Population.

Authors:  Eftychia Pappa; Heleni Vastardis; George Mermelekas; Andriani Gerasimidi-Vazeou; Jerome Zoidakis; Konstantinos Vougas
Journal:  Front Physiol       Date:  2018-04-26       Impact factor: 4.566

  7 in total

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