共查询到19条相似文献，搜索用时 562 毫秒
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科学系统的良性运行,一个重要关键在于正确地选择具有科学价值的科研项目。目前,科研庆选择科研项目主要采用同行评议的方法。本文在分析采用同行评议评审科研项目产生的各种差误基础上,提出了减少这种评审差误的措施。 相似文献
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针对如何评价科研项目同行评议专家水平的问题,分析了评价同行评议专家水平应考虑的主要因素,建立了一套包括科研活跃程度、评审业绩和工作态度等三个方面的评价指标体系,并进一步给出了各指标的度量方法,在此基础上,结合科研项目评审工作的实际需求,采用加权和法计算同行评议专家水平的评价值并进行排序,最后通过一个算例说明了给出方法的应用. 相似文献
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【目的】基于大数据技术,优化科技期刊同行评议模式,以期提升同行评议的效率和质量,促进同行评议客观、高效和良性发展。【方法】首先,从期刊的作者、编辑和专家的角度分析同行评议面临的一些困难和问题;其次,结合同行评议的目标和需求,应用大数据技术,提出进一步优化科技期刊同行评议模式的举措。【结果】利用大数据大、多、快的优势,提出构建“广、快、全”的评审专家数据库并实行阶梯式动态管理、建立同行评议专家信用评价体系、健全互动反馈评审机制、完善多元化的奖励机制、加强编辑与专家的协同与沟通等优化措施。【结论】通过采取大数据技术,可进一步优化科技期刊同行评议模式,加强同行评议的科学性、高效性和公正性。 相似文献
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约束评审专家完善评审制度 总被引：2，自引：0，他引：2
目前,我国正逐步从计划经济向市场经济过渡,科技评审制度也逐步从"计划审批"向同行评议"过渡,科技评审过程中决定权的重心开始由政府科技主管部门向评审专家转移."科学基金制"是"同行评议"制的主要代表,人们对这一制度已进行了不少研究和探讨."招标制"是通过招投标来确定少数重大科技计划项目承担者的一种制度设计,其核心内容也是"同行评议".除了科技立项评审外,科技论文审稿、科技成果鉴定、科技奖励评审等工作,采用的也都是"专家推荐(同行评议)"制.因此,必须把如何激励、监督评审专家进行公正评审,作为新时期完善科技评审制度的核心工作.本文拟就此做一些探讨. 相似文献
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从专家业务能力和评审信誉两个方面构建同行评议专家信誉评价体系,建立评价指标度量,利用层次分析法和熵权法提高评价结果的有效性,并进行实证研究,对科学合理可操性的专家信誉评价体系进行探索。 相似文献
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[目的]基于开放同行评议内涵及类型的理论分析,调研专家的接受度,提出专家接受度高且正面影响大的开放同行评议类型,以加快开放同行评议实践进程,并改变办刊主体对开放同行评议的认知偏差.[方法]利用逻辑学的概念界定方法探析开放同行评议的理论内涵及类型;在此基础上,利用问卷调查揭示评审专家对不同类型开放同行评议的接受度及评价.... 相似文献
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同行评议是科学共同体的自我规范机制之一，是科学质量控制的核心环节。国家自然科学基金资助工作的核心运行机制是同行评议，它是遴选高质量基金项目的重要保障机制。为了使同行评议科学、客观、公正，稳步推进国家自然科学基金新时期的改革与发展，文章从同行评议机制的发展及其优缺点出发，分析了当前国家自然科学基金同行评议机制面临的挑战：不适应跨越式发展需要，专家和管理队伍规模不适应项目申请数量增长，专家评审行为缺少对象反馈且评审专家遴选有待优化，以及项目评审流程缺少监控手段等。据此，文章提出完善国家自然科学基金同行评议机制，建设“负责任、讲信誉、计贡献”（RCC）的同行评议监督与评价系统思路。文章阐述了RCC机制的动态性和科学性，总结了其在优化国家自然科学基金管理和提高项目评审效率中的潜在用途，为进一步推进RCC机制的改革发展提供了一定的理论依据。实践显示，同行评议的RCC改革方向是有效的，但仍需进一步完善RCC制度设计、加强评审质量监测并营造RCC评审文化。文章从多角度论述了完善科学基金同行评议机制的重要性，指明该机制所面临的挑战与可行的发展路径，为RCC监督与评价系统的改革与发展提供一定参考，同时对新时期稳步推进国家自然科学基金的管理具有借鉴意义。 相似文献
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《Information processing & management》2022,59(5):103028
Assigning paper to suitable reviewers is of great significance to ensure the accuracy and fairness of peer review results. In the past three decades, many researchers have made a wealth of achievements on the reviewer assignment problem (RAP). In this survey, we provide a comprehensive review of the primary research achievements on reviewer assignment algorithm from 1992 to 2022. Specially, this survey first discusses the background and necessity of automatic reviewer assignment, and then systematically summarize the existing research work from three aspects, i.e., construction of candidate reviewer database, computation of matching degree between reviewers and papers, and reviewer assignment optimization algorithm, with objective comments on the advantages and disadvantages of the current algorithms. Afterwards, the evaluation metrics and datasets of reviewer assignment algorithm are summarized. To conclude, we prospect the potential research directions of RAP. Since there are few comprehensive survey papers on reviewer assignment algorithm in the past ten years, this survey can serve as a valuable reference for the related researchers and peer review organizers. 相似文献
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Assuring the quality control of publications in the scientific literature is one of the main challenges of the peer review process. Consequently, there has been an increasing demand for computing solutions that will help to maintain the quality of this process. Recently, the use of Artificial Intelligence techniques has been highlighted, applied in the detection of plagiarism, bias, among other functions. The assessment of the reviewer’s review has also been considered as important in the process, but, little is known about it, for instance, which techniques have been applied in this assessment or which criteria have been assessed. Therefore, this systematic literature review aims to find evidence regarding the computational approaches that have been used to evaluate reviewers' reports. In order to achieve this, five online databases were selected, from which 72 articles were identified that met the inclusion criteria of this review, all of which have been published since 2000. The result returned 10 relevant studies meeting the evaluation requirements of scientific article reviews. The review revealed that mechanisms to rank review reports according to a score, as well as the word analysis, are the most common tools, and that there is no consensus on quality criteria. The systematic literature review has shown that reviewers’ report assessment is a valid tool for maintaining quality throughout the process. However, it still needs to be further developed if it is to be used as a resource which surpass a single conference or journal, making the peer review process more rigorous and less based on random choice. 相似文献
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以学术关系为研究对象和切入点,进行同行评议专家回避关系计量初探。在阐述国内外研究现状的基础上,探讨与回避相关的学术关系的抽取与挖掘,进而提出面向不同评议场景的学术关系的融合及回避评估模型构建思路。本研究可为科研管理者遴选同行评议专家提供参考和依据,促进同行评议的规范性、公平性和民主性。 相似文献
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【目的】对影响开放式同行评议实践的相关因素进行实证研究,发掘开放式同行评议的关键影响因素。【方法】以Directory of Open Access Journals (DOAJ)中开放式同行评议期刊为研究对象,通过网络爬取相关数据。采用变量分类赋值的方式,对影响开放式同行评议的相关定性因素进行量化分析。采用多重对应分析图展示开放式同行评议相关影响因素及其不同类别的内在关联;采用最优尺度回归模型揭示相关影响因素对开放评议类型的影响程度。【结果】开放评议类型与评议专家身份的公开类别具有极密切的关联,评议专家身份对开放评议类型有显著正向影响,且重要性程度值非常高。【结论】评议专家身份是否公开成为开放式同行评议实践模式的关键影响因素,透明性同行评议是当前开放评议行之有效的实践模式。 相似文献
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为了提高医学期刊质量,笔者结合自己的工作实践对医学期刊专家审稿环节中存在的常见问题进行了分析,并提出相应的应对措施,指出缩短审稿周期、进一步完善审稿制度、优化审稿单的设计,切实提高专家审稿质量。 相似文献
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Review helpfulness is attracting increasing attention of practitioners and academics. It helps in reducing risks and uncertainty faced by users in online shopping. This study examines uninvestigated variables by looking at not only the review characteristics but also important indicators of reviewers. Several significant review content and two reviewer variables are proposed and an effective review helpfulness prediction model is built using stochastic gradient boosting learning method. This study derived a mechanism to extract novel review content variables from review text. Six popular machine learning models and three real-life Amazon review data sets are used for analysis. Our results are robust to several product categories and along three Amazon review data sets. The results show that review content variables deliver the best performance as compared to the reviewer and state-of-the-art baseline as a standalone model. This study finds that reviewer helpfulness per day and syllables in review text strongly relates to review helpfulness. Moreover, the number of space, aux verb, drives words in review text and productivity score of a reviewer are also effective predictors of review helpfulness. The findings will help customers to write better reviews, help retailers to manage their websites intelligently and aid customers in their product purchasing decisions. 相似文献