The varying quality of scientific reports is a well-recognized problem and often results from a lack of standardization and transparency in scientific publications. This situation ultimately leads to prominent complications such as reproducibility issues and the slow uptake of newly developed synthetic methods for pharmaceutical and agrochemical applications. In recent years, various impactful approaches have been advocated to bridge information gaps and to improve the quality of experimental protocols in synthetic organic publications. Here we provide a critical overview of these strategies and present the reader with a versatile set of tools to augment their standard procedures. We formulate eight principles to improve data management in scientific publications relating to data standardization, reproducibility and evaluation, and encourage scientists to go beyond current publication standards. We are aware that this is a substantial effort, but we are convinced that the resulting improved data situation will greatly benefit the progress of chemistry.

科学报告质量参差不齐是一个众所周知的问题，通常是由于科学出版物缺乏标准化和透明度造成的。这种情况最终会导致显着的并发症，例如再现性问题以及新开发的合成方法在制药和农用化学品应用中的缓慢采用。近年来，人们提倡采用各种有影响力的方法来弥合信息差距并提高合成有机出版物中实验方案的质量。在这里，我们对这些策略进行了批判性概述，并向读者提供了一套多功能工具来增强他们的标准程序。我们制定了八项原则，以改善科学出版物中与数据标准化、可重复性和评估有关的数据管理，并鼓励科学家超越现行的出版标准。我们知道这是一项巨大的努力，但我们相信由此带来的数据状况的改善将极大有利于化学的进步。