The past decade has seen accelerating movement from data protectionism in publishing toward open data sharing to improve reproducibility and translation of biomedical research. Developing data sharing infrastructures to meet these new demands remains a challenge. One model for data sharing involves simply attaching data, irrespective of its type, to publisher websites or general use repositories. However, some argue this creates a ‘data dump’ that does not promote the goals of making data Findable, Accessible, Interoperable and Reusable (FAIR). Specialized data sharing communities offer an alternative model where data are curated by domain experts to make it both open and FAIR. We report on our experiences developing one such data-sharing ecosystem focusing on ‘long-tail’ preclinical data, the Open Data Commons for Spinal Cord Injury (odc-sci.org). ODC-SCI was developed with community-based agile design requirements directly pulled from a series of workshops with multiple stakeholders (researchers, consumers, non-profit funders, governmental agencies, journals, and industry members). ODC-SCI focuses on heterogeneous tabular data collected by preclinical researchers including bio-behaviour, histopathology findings and molecular endpoints. This has led to an example of a specialized neurocommons that is well-embraced by the community it aims to serve. In the present paper, we provide a review of the community-based design template and describe the adoption by the community including a high-level review of current data assets, publicly released datasets, and web analytics. Although odc-sci.org is in its late beta stage of development, it represents a successful example of a specialized data commons that may serve as a model for other fields.

在过去的十年里，出版业的数据保护主义加速转向开放数据共享，以提高生物医学研究的可重复性和转化率。开发数据共享基础设施以满足这些新需求仍然是一个挑战。一种数据共享模型涉及将数据（无论其类型如何）简单地附加到发布者网站或通用存储库。然而，一些人认为这会造成“数据转储”，无法促进使数据可查找、可访问、可互操作和可重用 (FAIR) 的目标。专业的数据共享社区提供了另一种模型，其中数据由领域专家管理，以使其既开放又公平。我们报告了我们开发这样一个专注于“长尾”临床前数据的数据共享生态系统的经验，即脊髓损伤开放数据共享 (odc-sci.org)。ODC-SCI 是根据基于社区的敏捷设计要求开发的，这些要求直接来自与多个利益相关者（研究人员、消费者、非营利资助者、政府机构、期刊和行业成员）的一系列研讨会。ODC-SCI 侧重于临床前研究人员收集的异构表格数据，包括生物行为、组织病理学发现和分子终点。这导致了一个专门的 neurocommons 的例子，它被它旨在服务的社区所接受。在本文中，我们回顾了基于社区的设计模板并描述了社区的采用情况，包括对当前数据资产、公开发布的数据集和网络分析的高级回顾。尽管 odc-sci.org 处于开发的后期测试阶段，