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Publish (your data) or (let the data) perish! Why not publish your data too?

机译:发布(您的数据)或(让数据)消失!为什么不也发布您的数据呢?

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The authors argue that upon publication of a paper, the data should be made available through online archives or repositories. Reasons for not sharing data are discussed and contrasted with advantages of sharing, which include abiding by the scientific principle of openness, keeping the data for posterity, increasing one's impact, facilitation of secondary analyses and collaborations, prevention and correction of errors, and meeting funding agencies' increasingly stringent stipulations concerning the dissemination of data. Practicing what they preach, the authors include data as an online appendix to this editorial. These data are from a cohort of psychology freshmen who completed Raven's Advanced Progressive Matrices, tests of Numerical Ability, Number Series, Hidden Figures, Vocabulary, Verbal Analogies, and Logical Reasoning, two Big Five personality inventories, and scales for social desirability and impression management. Student's sex and grade point average (GPA) are also included. Data could be used to study predictive validity of cognitive ability tests, Extraversion, Neuroticism, Conscientiousness, Openness to Experience, Agreeableness, and the general factor of personality, as well as sex differences, differential prediction, and relations between personality and intelligence.
机译:作者认为,论文发表后,应通过在线档案或存储库提供数据。讨论了不共享数据的原因,并与共享优势进行了对比,共享的优势包括遵守开放性的科学原则,保留后代数据,增加影响力,促进二次分析和协作,防止和纠正错误以及获得资金机构对数据传播的规定越来越严格。在实践讲道时,作者将数据作为此社论的在线附录。这些数据来自一组完成Raven高级进阶矩阵,数字能力,数字序列,隐藏数字,词汇,言语类比和逻辑推理的测试,两个大五人格量表以及社交满意度和印象管理量表的心理学新生。学生的性别和平均成绩(GPA)也包括在内。数据可用于研究认知能力测验,外向性,神经质,尽责性,开放经验,宜人性和性格普遍因素的预测有效性,以及性别差异,差异预测以及人格与智力之间的关系。

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