CRUK Scotland Institute, Glasgow G61 1BD, UK.
Mary Lyon Centre at MRC Harwell, Harwell Campus, Didcot OX11 0RD, UK.
Dis Model Mech. 2024 Aug 1;17(8). doi: 10.1242/dmm.050937. Epub 2024 Aug 30.
A pervasive discussion point within the scientific community is the value of unpublished or unavailable data. Researchers, funders, ethical review bodies, editors and publishers have all highlighted the need to make more data available to enhance experimental planning and interpretation and to prevent others from repeating similar experiments. This is particularly important in the context of experimentation involving animals and efforts towards replacement, refinement and reduction. However, despite this broad agreement, sharing data that show inconclusive, statistically insignificant or unremarkable results is still not common practice. In this Editorial, we will highlight the value of what are often coined negative (or null) data and outline some emerging initiatives to address the gap between data generated in laboratories and data available to the wider scientific community.
科学界普遍讨论的一个问题是未发表或无法获得的数据的价值。研究人员、资助者、伦理审查机构、编辑和出版商都强调需要提供更多的数据，以增强实验规划和解释，防止其他人重复类似的实验。这在涉及动物的实验以及替代、改进和减少方面尤为重要。然而，尽管有这种广泛的共识，但分享显示不确定、统计上无显著意义或无明显结果的数据仍然不是常见的做法。在这篇社论中，我们将强调通常被称为负面（或零）数据的价值，并概述一些新的举措，以解决实验室产生的数据与更广泛的科学界可用数据之间的差距。
