Office of Cancer Clinical Proteomics Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Proteomics. 2012 Jan;12(1):11-20. doi: 10.1002/pmic.201100562. Epub 2011 Dec 14.
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.
支持蛋白质组学数据快速和公开共享的政策正在被该领域的主要期刊实施。蛋白质组学社区正在采取措施确保数据是公开可访问的且具有高质量,这是一项具有挑战性的任务,需要开发和部署用于测量和记录数据质量指标的方法。2010 年 9 月 18 日,美国国家癌症研究所(NCI)在澳大利亚悉尼召开了“蛋白质组学数据质量指标国际研讨会”,以确定和解决开放获取蛋白质组学数据的此类方法的开发和使用所面临的问题。研讨会的利益相关者列举了用于质谱数据质量评估框架的关键原则,这些原则将满足研究社区、期刊、资助机构和数据存储库的需求。与会者讨论并同意广泛使用质量指标的两个主要需求:(i)不断发展的全面质量指标列表,以及(ii)附有软件分析的标准。与会者强调了增加教育和培训计划以促进蛋白质组学中可靠方案的重要性。本研讨会报告探讨了提高开放访问数据质量所需的历史先例、关键讨论和必要的下一步措施。根据协议,本文作为一项公共服务,同时发表在《蛋白质组学》、《蛋白质组学临床应用》、《蛋白质组研究杂志》和《分子与细胞蛋白质组学》上。同行评审过程是由期刊选择的一组评审员进行的协调努力。