Gillon Colleen J, Baker Cody, Ly Ryan, Balzani Edoardo, Brunton Bingni W, Schottdorf Manuel, Ghosh Satrajit, Dehghani Nima
These authors contributed equally to this paper.
Department of Bioengineering, Imperial College London, London, UK.
ArXiv. 2024 Jul 1:arXiv:2407.00976v1.
Across the life sciences, an ongoing effort over the last 50 years has made data and methods more reproducible and transparent. This openness has led to transformative insights and vastly accelerated scientific progress. For example, structural biology and genomics have undertaken systematic collection and publication of protein sequences and structures over the past half-century, and these data have led to scientific breakthroughs that were unthinkable when data collection first began (e.g.). We believe that neuroscience is poised to follow the same path, and that principles of open data and open science will transform our understanding of the nervous system in ways that are impossible to predict at the moment. To this end, new social structures along with active and open scientific communities are essential to facilitate and expand the still limited adoption of open science practices in our field. Unified by shared values of openness, we set out to organize a symposium for Open Data in Neuroscience (ODIN) to strengthen our community and facilitate transformative neuroscience research at large. In this report, we share what we learned during this first ODIN event. We also lay out plans for how to grow this movement, document emerging conversations, and propose a path toward a better and more transparent science of tomorrow.
在整个生命科学领域，过去50年来持续不断的努力使数据和方法更具可重复性和透明度。这种开放性带来了变革性的见解，并极大地加速了科学进步。例如，在过去的半个世纪里，结构生物学和基因组学开展了蛋白质序列和结构的系统收集与发布工作，这些数据带来了数据收集刚开始时无法想象的科学突破（例如）。我们相信神经科学也将走上同样的道路，开放数据和开放科学的原则将以目前无法预测的方式改变我们对神经系统的理解。为此，新的社会结构以及活跃开放的科学社区对于促进和扩大我们领域中仍有限的开放科学实践的采用至关重要。在开放这一共同价值观的统一之下，我们着手组织了一场神经科学开放数据研讨会（ODIN），以加强我们的社区，并总体上促进变革性的神经科学研究。在本报告中，我们分享了在首次ODIN活动期间的所学所得。我们还制定了如何推动这一运动发展、记录新出现的对话，并提出通往更美好、更透明的未来科学之路的计划。
