Speaker
Description
Ensuring the accessibility of FAIR data within the scientific community is crucial, especially given the vast volume of generated data and its potential for future reprocessing. While findability is often perceived as the simplest aspect of FAIR, achieving it necessitates robust ontology harmonization within an open science framework. Without it, scientists may struggle to efficiently locate datasets.
To address this challenge, it is imperative to employ common ontology concepts to enrich the metadata associated with conducted experiments. A pivotal initial step involves integrating the Photon and Neutron Experimental Techniques (PaNET) ontology as it offers invaluable identification of the techniques utilized in each dataset. To align the techniques employed at the ESRF with their semantically equivalent terms in PaNET, the development of an ESRF-Experimental Techniques ontology is deemed the optimal approach for initiating semantic negotiations with PaNET. The overarching objective is to uphold semantic integrity as defined by ESRF scientists, while fostering an ongoing dialogue with PaNET and between the domain experts, enabling them to resolve ambiguities that might impede mutual understanding, comparison, and dialogue.
In this presentation, we will outline the methodology employed to construct this bridging ontology, which endeavors to define and differentiate techniques based on their distinct characteristics. A similar approach could be adopted at other large-scale facilities.
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