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Biodiversity, the variation within and between species and ecosystems, isessential for human well-being and the equilibrium of the planet. It iscritical for the sustainable development of human society and is an importantglobal challenge. Biodiversity research has become increasingly data-intensiveand it deals with heterogeneous and distributed data made available by globaland regional initiatives, such as GBIF, ILTER, LifeWatch, BODC, PANGAEA, andTERN, that apply different data management practices. In particular, a varietyof metadata and semantic resources have been produced by these initiatives todescribe biodiversity observations, introducing interoperability issues acrossdata management systems. To address these challenges, the InteroperAbleDescriptions of Observable Property Terminology WG (I-ADOPT WG) was formed by agroup of international terminology providers and data center managers in 2019with the aim to build a common approach to describe what is observed, measured,calculated, or derived. Based on an extensive analysis of existing semanticrepresentations of variables, the WG has recently published the I-ADOPTframework ontology to facilitate interoperability between existing semanticresources and support the provision of machine-readable variable descriptionswhose components are mapped to FAIR vocabulary terms. The I-ADOPT frameworkontology defines a set of high level semantic components that can be used todescribe a variety of patterns commonly found in scientific observations. Thiscontribution will focus on how the I-ADOPT framework can be applied torepresent variables commonly used in the biodiversity domain.

The I-ADOPT Interoperability Framework for FAIRer data descriptions of biodiversity