EDAM ontology - introduction (2 mins) Narrated by Dr. Melissa Black, written by Dr. Melissa Black and Matúš Kalaš

EDAM [https://doi.org/10.7490/f1000research.1118900.1] 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. Thanks to the annotations with EDAM, computational tools, workflows, standards, data, and learning materials are easier to find, compare, choose, and integrate. EDAM contributes to open science by allowing semantic annotation of processed data, thus making the data more understandable, findable, and comparable. EDAM and its applications lower the barrier and effort for scientists and citizens alike, towards doing scientific research in a more open, reliable, and inclusive way.