质量科学与质量保证:一位环境科学家的观察。

T. J. Hughes
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At the U.S. EPA, the procedure for sending a manuscript to a journal for publication is the responsibility of the senior author. The senior author of an EPA-sponsored manuscript is expected to have the manuscript reviewed by the coauthors (they should also review the data), then the manuscript must be reviewed by at least two other scientists, one of whom must be from outside the authors' division. After this review and approval by management, the manuscript is sent to a peer-reviewed journal, where it is reviewed by several anonymous scientists as determined by the journal. After the comments of the reviewers are addressed, the manuscript can either be accepted or rejected for publication by the journal. For the purpose of this manuscript, the definition of QA is defined as the guarantee from a review team that the entire study was adequately and correctly conducted and recorded according to the study protocol. Many scientists view QS and QA as separate entities. From the scientist's perspective, QA procedures are not applicable to research studies, and should be used only for studies that will be submitted to either the EPA or the FDA for regulatory approval (i.e., Good Laboratory Practice [GLP] studies). However, QA can be applied to both types of studies. A QA review will examine all aspects of the study including data files (notebooks, protocols), as well as equipment, sample storage, actual experimental organisms (animals or cells) and the management of all study records. The data from a QA-reviewed study are therefore more defensible in a court of law, and more reproducible due to more through, chronological records. Generally speaking, few coauthors of a scientific manuscript analyze the raw data in the laboratory notebooks or inspect the laboratory equipment. Furthermore, coauthors generally have not been in the laboratory where the research was conducted in order to observe quality control measures. 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引用次数: 1

摘要

本文的目的是研究质量科学(QS)和质量保证(QA)之间的关系。许多研究科学家确实想做QA,但害怕或不想做QA,因为他们被QA过程吓倒了,或者他们没有意识到QA的好处。因此,一名环境科学家在大学、合同和政府实验室进行了30年的研究,在这份手稿中对QS和QA之间的关系进行了研究。首先,本文将QS定义为发表在同行评议文献中的数据。一般科学人群认为研究数据的质量与期刊的地位成正比。例如,在《科学》杂志上发表一篇文章是非常有声望的。在美国环境保护署,将稿件发送到期刊发表的程序是资深作者的责任。美国环境保护署资助的论文的资深作者应该由共同作者审查论文(他们也应该审查数据),然后论文必须由至少两名其他科学家审查,其中一名必须来自作者部门以外。经过管理层的审查和批准后,稿件被发送到同行评议期刊,由期刊确定的几位匿名科学家进行评议。在解决了审稿人的意见后,期刊可以接受或拒绝稿件发表。在本文中,QA的定义被定义为评审小组对整个研究按照研究方案充分、正确地进行和记录的保证。许多科学家认为QS和QA是两个独立的实体。从科学家的角度来看,QA程序不适用于研究性研究,而应仅用于将提交EPA或FDA进行监管批准的研究(即良好实验室规范[GLP]研究)。然而,QA可以应用于这两种类型的研究。QA审查将检查研究的所有方面,包括数据文件(笔记本、方案)、设备、样品存储、实际实验生物体(动物或细胞)和所有研究记录的管理。因此,qa审查研究的数据在法庭上更站得住脚,而且由于有更多完整的、按时间顺序记录,数据也更容易再现。一般来说,科学手稿的合著者很少分析实验室笔记本中的原始数据或检查实验室设备。此外,共同作者通常没有进入进行研究的实验室,以观察质量控制措施。在这些领域,QA审查是非常有益的。总之,同行评议文献中的数据与经过QA审查的数据不进行相同类型的审查。QA审查通过识别优秀的研究实践和需要解决的研究缺陷来帮助EPA科学家进行和改进他们的研究,从而产生更高质量的科学数据。在这位EPA科学家和QA经理看来,尽管QA审查确实需要科学家的努力,但与未经QA审查的同行评议研究的数据相比,来自研究的数据通过QA审查得到了加强。QA审查应该被视为整个研究过程的一部分——一个提高数据整体质量的部分。
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Quality science and quality assurance: observations of an environmental scientist.
The purpose of this manuscript is to examine the relationship between quality science (QS) and quality assurance (QA). Many research scientists definitely want to do QS, but are afraid or do not want to do QA because they are intimidated by the QA process or they do not appreciate the benefits of QA. Therefore, the relationship between QS and QA is examined in this manuscript by an environmental scientist who has conducted 30 years of research in university, contract and government laboratories. To start, QS is defined in this paper as data that are published in the peer-reviewed literature. The quality of the research data is assumed by the general scientific population to be directly proportional to the status of the journal. For example, it is highly prestigious to have an article published in Science. At the U.S. EPA, the procedure for sending a manuscript to a journal for publication is the responsibility of the senior author. The senior author of an EPA-sponsored manuscript is expected to have the manuscript reviewed by the coauthors (they should also review the data), then the manuscript must be reviewed by at least two other scientists, one of whom must be from outside the authors' division. After this review and approval by management, the manuscript is sent to a peer-reviewed journal, where it is reviewed by several anonymous scientists as determined by the journal. After the comments of the reviewers are addressed, the manuscript can either be accepted or rejected for publication by the journal. For the purpose of this manuscript, the definition of QA is defined as the guarantee from a review team that the entire study was adequately and correctly conducted and recorded according to the study protocol. Many scientists view QS and QA as separate entities. From the scientist's perspective, QA procedures are not applicable to research studies, and should be used only for studies that will be submitted to either the EPA or the FDA for regulatory approval (i.e., Good Laboratory Practice [GLP] studies). However, QA can be applied to both types of studies. A QA review will examine all aspects of the study including data files (notebooks, protocols), as well as equipment, sample storage, actual experimental organisms (animals or cells) and the management of all study records. The data from a QA-reviewed study are therefore more defensible in a court of law, and more reproducible due to more through, chronological records. Generally speaking, few coauthors of a scientific manuscript analyze the raw data in the laboratory notebooks or inspect the laboratory equipment. Furthermore, coauthors generally have not been in the laboratory where the research was conducted in order to observe quality control measures. These are the areas where a QA review is extremely beneficial. In summary, data in the peer-reviewed literature do not undergo the same type of review as do data that have undergone a QA review. QA reviews assist EPA scientists in conducting and improving their research studies by identifying both excellent study practices and study deficiencies to be addressed, which thereby produces higher quality scientific data. In the opinion of this EPA Scientist and QA Manager, although QA reviews do require effort from the scientist, data from research studies are strengthened by QA review when compared to data from peer-reviewed studies that have not undergone a QA review. QA reviews should be viewed as part of the entire research process--a part that improves the overall quality of the data.
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