Balaur Irina, Welter Danielle, Rougny Adrien, Inau Esther Thea, Mazein Alexander, Ghosh Soumyabrata, Schneider Reinhard, Waltemath Dagmar, Ostaszewski Marek, Satagopam Venkata
Luxembourg Centre For Systems Biomedicine (LCSB), University of Luxembourg, L-4367, Belval, Luxembourg.
Medical Informatics Laboratory, Institute for Community Medicine, University Medicine Greifswald, Walther-Rathenau-Str. 48, D-17475, Greifswald, Germany.
Sci Data. 2025 May 23;12(1):851. doi: 10.1038/s41597-025-05147-w.
The Disease Maps Project focuses on the development of disease-specific comprehensive structured knowledge repositories supporting translational medicine research. These disease maps require continuous interdisciplinary collaboration and should be reusable and interoperable. Adhering to the Findable, Accessible, Interoperable and Reusable (FAIR) principles enhances the utility of such digital assets. We used the RDA FAIR Data Maturity Model and assessed the FAIRness of the Molecular Interaction NEtwoRk VisuAlization (MINERVA) Platform. MINERVA is a standalone webserver that allows users to manage, explore and analyse disease maps and their related data manually or programmatically. We exemplify the FAIR assessment on the Parkinson's Disease Map (PD map) and the COVID-19 Disease Map, which are large-scale projects under the umbrella of the Disease Maps Project, aiming to investigate molecular mechanisms of the Parkinson's disease and SARS-CoV-2 infection, respectively. We discuss the FAIR features supported by the MINERVA Platform and we outline steps to further improve the MINERVA FAIRness and to better connect this resource to other ongoing scientific initiatives supporting FAIR in computational systems biomedicine.
疾病图谱项目专注于开发支持转化医学研究的特定疾病综合结构化知识存储库。这些疾病图谱需要持续的跨学科合作，并且应该是可重复使用和可互操作的。遵循可查找、可访问、可互操作和可重复使用（FAIR）原则可提高此类数字资产的效用。我们使用了RDA FAIR数据成熟度模型，并评估了分子相互作用网络可视化（MINERVA）平台的FAIR程度。MINERVA是一个独立的网络服务器，允许用户手动或通过编程方式管理、探索和分析疾病图谱及其相关数据。我们以帕金森病图谱（PD图谱）和COVID-19疾病图谱为例进行FAIR评估，这两个图谱是疾病图谱项目旗下的大型项目，分别旨在研究帕金森病和SARS-CoV-2感染的分子机制。我们讨论了MINERVA平台支持的FAIR特性，并概述了进一步提高MINERVA的FAIR程度以及更好地将该资源与其他支持计算系统生物医学中FAIR的正在进行的科学计划相连接的步骤。
