Background Clinical trials, epidemiological studies, clinical registries, and other prospective research projects, together with patient care services, are main sources of data in the medical research domain. They serve often as a basis for secondary research in evidence-based medicine, prediction models for disease, and its progression. This data are often neither sufficiently described nor accessible. Related models are often not accessible as a functional program tool for interested users from the health care and biomedical domains.

Objective The interdisciplinary project Leipzig Health Atlas (LHA) was developed to close this gap. LHA is an online platform that serves as a sustainable archive providing medical data, metadata, models, and novel phenotypes from clinical trials, epidemiological studies, and other medical research projects.

Methods Data, models, and phenotypes are described by semantically rich metadata. The platform prefers to share data and models presented in original publications but is also open for nonpublished data. LHA provides and associates unique permanent identifiers for each dataset and model. Hence, the platform can be used to share prepared, quality-assured datasets and models while they are referenced in publications. All managed data, models, and phenotypes in LHA follow the FAIR principles, with public availability or restricted access for specific user groups.

Results The LHA platform is in productive mode (https://www.health-atlas.de/). It is already used by a variety of clinical trial and research groups and is becoming increasingly popular also in the biomedical community. LHA is an integral part of the forthcoming initiative building a national research data infrastructure for health in Germany.

背景 临床试验、流行病学研究、临床登记和其他前瞻性研究项目以及患者护理服务是医学研究领域的主要数据来源。它们通常作为循证医学、疾病预测模型及其进展的二次研究的基础。这些数据通常既没有得到充分描述也无法访问。医疗保健和生物医学领域感兴趣的用户通常无法将相关模型作为功能性程序工具使用。

目标 跨学科项目莱比锡健康地图集 (LHA) 的开发旨在缩小这一差距。LHA 是一个在线平台，可用作可持续档案，提供来自临床试验、流行病学研究和其他医学研究项目的医学数据、元数据、模型和新表型。

方法 数据、模型和表型由语义丰富的元数据描述。该平台更喜欢共享原始出版物中提供的数据和模型，但也对未发布的数据开放。LHA 为每个数据集和模型提供并关联唯一的永久标识符。因此，该平台可用于在出版物中引用准备好的、有质量保证的数据集和模型时共享它们。LHA 中的所有托管数据、模型和表型都遵循 FAIR 原则，具有公开可用性或对特定用户组的访问受限。

结果 LHA 平台处于生产模式（https://www.health-atlas.de/). 它已经被各种临床试验和研究小组使用，并且在生物医学界也越来越受欢迎。LHA 是即将在德国建立国家健康研究数据基础设施的倡议的组成部分。