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The GFBio Terminology Service: enabling research data management beyond data heterogeneity
Abstract A primary goal of a research infrastructure for data management should be to enable efficient data
discovery and integration of heterogeneous data. The German Federation for Biological Data (GFBio) was guided by this goal. The basic component, that enables such interoperability and serves as a backbone for such a platform, is the GFBio Terminology Service (GFBio TS). This service acts as a semantic platform for accessing, developing and reasoning about terminological resources within the biological and environmental domains. A RESTful API gives access to these terminological resources in a uniform way, regardless of their degree of complexity and whether they are internally stored or externally accessed through web services. Additionally, a set of widgets with an intrinsic API connection are made available for easy integration in applications and web interfaces. Based on the requirements of GFBios partners, we describe the added value that is provided by the GFBio Terminology Service with practical scenarios as well as the challenges we still face. We conclude by describing our current activities and future developments.
Keywords Research data infrastructure, Interoperability, Terminology repository, Semantic Web, RESTful API,