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EDAM is a domain ontology of data analysis and data management in bio- and other sciences, and science-based applications. It comprises concepts related to analysis, modelling, optimisation, and data life cycle. Targetting usability by diverse users, EDAM's structure is relatively simple, divided into 4 sections: Topic, Operation, Data, and Format.
A comprehensive collection of tools, scripts, and documentation for managing and utilizing the ELK (Elasticsearch, Logstash, Kibana) stack effectively. This repository compiles information and best practices from several authoritative sources, providing a centralized resource for deploying and maintaining the ELK stack.