Introduction

Earth and environmental sciences thrive on data diversity: from ocean temperatures to biodiversity records, from climate indicators to geological observations. Yet this diversity can also be a barrier: different datasets are described with different metadata standards, stored in different formats, and difficult to connect across research infrastructures. The ENVRI-Hub provides tools to address these challenges. It offers researchers a unified framework to discover, access, and (re)use complex and multidisciplinary data. This training resource introduces you to the ENVRI-Hub data harmonisation and search approach, built to support more reproducible and impactful science. 

Target audience 

Researchers in Earth and environmental sciences, project coordinators, and data scientists looking to improve their data workflows; Anyone interested in applying interoperable approaches to interdisciplinary research. 

Prerequisites 

Basic familiarity with FAIR and open science principles and metadata profiles.

Learning objectives 

• Define Essential Variables (EXVs) 
• Describe how metadata harmonisation improves Essential Variables dataset findability, interoperability, and reuse 
• Find datasets and services on the ENVRI-Hub 

Trainers