Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/162880
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- Title
- Recommendations for mass spectrometry data quality metrics for open access data (corollary to the Amsterdam principles)
- Related
- Proteomics : clinical applications, Vol. 5, No. 11-12, (2011), p.580-589
- DOI
- 10.1002/prca.201100097
- Publisher
- Wiley
- Date
- 2011
- Author/Creator
- Kinsinger, Christopher R
- Author/Creator
- Apffel, James
- Author/Creator
- Gorman, Jeff
- Author/Creator
- Grimm, Rudolf
- Author/Creator
- Hancock, William
- Author/Creator
- Hermjakob, Henning
- Author/Creator
- Horn, David
- Author/Creator
- Hunter, Christie
- Author/Creator
- Kolar, Patrik
- Author/Creator
- Kraus, Hans-Joachim
- Author/Creator
- Langen, Hanno
- Author/Creator
- Linding, Rune
- Author/Creator
- Baker, Mark
- Author/Creator
- Moritz, Robert L
- Author/Creator
- Omenn, Gilbert S
- Author/Creator
- Orlando, Ron
- Author/Creator
- Pandey, Akhilesh
- Author/Creator
- Ping, Peipei
- Author/Creator
- Rahbar, Amir
- Author/Creator
- Rivers, Robert
- Author/Creator
- Seymour, Sean L
- Author/Creator
- Simpson, Richard J
- Author/Creator
- Slotta, Douglas
- Author/Creator
- Bian, Xiaopeng
- Author/Creator
- Smith, Richard D
- Author/Creator
- Stein, Stephen E
- Author/Creator
- Tabb, David L
- Author/Creator
- Tagle, Danilo
- Author/Creator
- Yates, John R
- Author/Creator
- Rodriguez, Henry
- Author/Creator
- Borchers, Christoph H
- Author/Creator
- Bradshaw, Ralph
- Author/Creator
- Brusniak, Mi-Youn
- Author/Creator
- Chan, Daniel W
- Author/Creator
- Deutsch, Eric W
- Author/Creator
- Domon, Bruno
- Description
- 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 up on 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.
- Description
- 10 page(s)
- Subject Keyword
- Amsterdam principles
- Subject Keyword
- Bioinformatics
- Subject Keyword
- Data quality
- Subject Keyword
- Metrics
- Subject Keyword
- Open access
- Subject Keyword
- Selected reaction monitoring
- Subject Keyword
- Standards
- Resource Type
- journal article
- Organisation
- Macquarie University. Dept. of Chemistry and Biomolecular Sciences
- Identifier
- http://hdl.handle.net/1959.14/162880
- Identifier
- ISSN:1862-8346
- Identifier
- mq_res-ext-2-s2.0-84855171902
- Language
- eng
- Reviewed
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