Learning path topics
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FAIR data
This section introduces the FAIR principles and shows how to apply them in real research workflows. Through short lessons, practical examples and tool overviews, learners discover how FAIR practices improve data quality, transparency and reuse across the life sciences domain.
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Introduction to PLAZI's workflow and to FAIR data concepts
This module provides an overview of Plazi's workflow for the extraction, structuring, and dissemination of biodiversity data from scientific literature. Participants will be introduced to the core principles guiding Plazi's work, including the FAIR data concepts—Findable, Accessible,...