The HMC Information Portal for Enhanced Metadata Collaboration in the Helmholtz FAIR Data Space

Lucas Kulla, Jens Bröder, Constanze Curdt, Markus Kubin, Helen Kollai, Christine Lemster, Marco Nolden, Kai Schmieder, Annika Strupp, K. Stucky, Emanuel Söding, Konstantin Pascal Walter, Arndt Witold
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Abstract

The Helmholtz Metadata Collaboration (HMC) platform was launched in late 2019 to turn FAIR (Findable, Accessible, Interoperable, Reusable) research data into reality within the Helmholtz Association and beyond. The Information Portal was initiated to enable the structured cartography of metadata and FAIR landscape of Helmholtz, providing information for multi-level decision-making and creating a curated knowledge base for research data managers, scientists and other stakeholders. Developed through a top-down approach, 18 categories, and associated metadata schemas were defined and aligned by an HMC taskforce. Data curation followed, with resources collected from different domains based on the aligned metadata schema. The Information Portal is a web application for capturing FAIR data practices across all Helmholtz domains, offering a unified user interface for collecting and exploring  results. Built using state-of-the-art technologies, including Python and Docker, the Information Portal leverages  GitLab as a database. It offers a public / central  read-only version for stakeholders and a personal instance for curation - synchronized to a GitLab repository. Git-based systems offer advantages, such as raw data accessibility, flexible data curation, easy synchronization, and customizable repositories. The single-page web application is user-friendly and developed in multiple iterations for an intuitive and flexible interface. The Information Portal is crucial for creating a sustainable, distributed, semantically enriched Helmholtz data space, promoting seamless data sharing and reuse.
在亥姆霍兹FAIR数据空间中增强元数据协作的HMC信息门户
亥姆霍兹元数据协作(HMC)平台于2019年底启动,旨在将亥姆霍兹协会内外的FAIR(可查找、可访问、可互操作、可重用)研究数据变为现实。信息门户的启动是为了实现Helmholtz元数据和FAIR景观的结构化制图,为多级决策提供信息,并为研究数据管理人员、科学家和其他利益相关者创建一个精心策划的知识库。HMC工作组通过自顶向下的方法开发了18个类别和相关的元数据模式,并对它们进行了定义和对齐。接下来是数据管理,根据对齐的元数据模式从不同领域收集资源。信息门户是一个web应用程序,用于捕获所有亥姆霍兹域的FAIR数据实践,为收集和探索结果提供统一的用户界面。使用最先进的技术构建,包括Python和Docker,信息门户利用GitLab作为数据库。它为利益相关者提供了一个公共/中央只读版本,并为管理提供了一个个人实例——与GitLab存储库同步。基于git的系统提供了一些优势,例如原始数据可访问性、灵活的数据管理、易于同步和可定制的存储库。单页web应用程序是用户友好的,并且经过多次迭代开发,以获得直观和灵活的界面。信息门户对于创建可持续的、分布式的、语义丰富的亥姆霍兹数据空间,促进无缝数据共享和重用至关重要。
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