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学术研究成果必须通过可靠的证据来证明其科学性、可靠性,来支持研究结果的重复验证。但是,许多研究依赖大量、复杂的数据收集、处理、分析、表达,同行评议专家和读者需要了解支撑研究结论的关键数据及其收集、处理、分析和表达过程,否则无法对研究结论的科学性和可靠性做出判断,无法可靠进行重复验证。所以,英国皇家学会明确提出~([1]),要保证科学知识本身的可检验、可重复和可利用,就必须从源头起打破数据鸿沟,保
Academic research results must be supported by proven evidence of scientificity and reliability to support the repeated verification of findings. However, many studies rely on a large and complex collection, processing, analysis and presentation of data, and experts and readers of peer review need to understand the key data that support the conclusions of the research and the processes by which it is collected, processed, analyzed and expressed, And reliability to make judgments, can not be reliably verified repeatedly. Therefore, the Royal Society clearly put forward ([1]), to ensure scientific knowledge itself can be tested, repeatable and available, we must break the data gap from the source, Paul