Johns Hopkins Bloomberg School of Public Health, Center for Alternatives to Animal Testing (CAAT), Baltimore, MD, USA.
University of Konstanz, CAAT-Europe, Konstanz, Germany.
ALTEX. 2019;36(1):3-17. doi: 10.14573/altex.1812191.
A good experiment reported badly is worthless. Meaningful contributions to the body of science are made by sharing the full methodology and results so that they can be evaluated and reproduced by peers. Erroneous and incomplete reporting does not do justice to the resources spent on conducting the experiment and the time peers spend reading the article. In theory peer-review should ensure adequate reporting - in practice it does not. Many areas have developed reporting standards and checklists to support the adequate reporting of scientific efforts, but in vitro research still has no generally accepted criteria. It is characterized by a "Wild West" or "anything goes" attitude. Such a culture may undermine trust in the reproducibility of animal-free methods, and thus parallel the "reproducibility crisis" discussed for other life science fields. The increasing data retrieval needs of computational approaches (in extreme as "big data" and artificial intelligence) makes reporting quality even more important so that the scientific community can take full advantage of the results. The first priority of reporting standards is to ensure the completeness and transparency of information provided (data focus). The second tier is a quality of data display that makes information digestible and easy to grasp, compare and further analyze (information focus). This article summarizes a series of initiatives geared towards improving the quality of in vitro work and its reporting. This shall ultimately lead to Good In Vitro Reporting Standards (GIVReSt).
糟糕的实验报道是毫无价值的。只有分享完整的方法和结果，才能为科学领域做出有意义的贡献，让同行对其进行评估和重现。错误和不完整的报告是对用于进行实验的资源和同行阅读文章所花费的时间的不尊重。理论上，同行评审应该确保充分的报告，但实际上并非如此。许多领域已经制定了报告标准和清单，以支持科学工作的充分报告，但体外研究仍然没有普遍接受的标准。它的特点是“狂野西部”或“随心所欲”的态度。这种文化可能会破坏人们对无动物方法重现性的信任，从而与其他生命科学领域讨论的“可重复性危机”相呼应。计算方法（极端情况下为“大数据”和人工智能）的数据检索需求不断增加，使得报告质量变得更加重要，以便科学界能够充分利用研究结果。报告标准的首要任务是确保提供信息的完整性和透明度（数据重点）。其次是数据展示的质量，使信息易于理解、掌握、比较和进一步分析（信息重点）。本文总结了一系列旨在提高体外工作及其报告质量的举措。这最终将导致良好的体外报告标准（GIVReSt）。
