Learning path topics
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DSLP pillar 4: Research data life cycle
DSLP pillar 4 - Research oriented data stewardship
Research data lifecycle
Definition: Entire period of time that research data exists. This lifecycle describes the flow of research data starting from planning, collecting, processing, analysing, preserving, sharing and finally reusing the... -
DSLP pillar 5: Data management infrastructure
DSLP pillar 5 - Infrastructure oriented data stewardship
Research data management infrastructure
Definition: Configuration of staff, services and tools assembled to support data management across the research lifecycle and to provide comprehensive coverage of the stages making up the data... -
Ethical aspects of RDM
This section provides an outline of responsible data sharing in biomedical research beyond technical FAIR principles to encompass complex ethical, legal, and societal issues. It highlights the relevance of consent and anonymisation, the importance of participant engagement, and the need for...
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Eukaryotic Genome Annotation
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Eukaryotic Genome Assembly
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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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How to process and curate data through Plazi's workflow
This module guides participants through the practical steps of processing and curating biodiversity data using Plazi’s workflow. It covers the use of tools such as GoldenGATE Imagine for semantic markup of taxonomic treatments, and details the standards applied to ensure data quality,...
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Introduction to Data Management
This section offers an accessible overview of why research data management (RDM) matters and how to apply good practices from the start of a project. Through short videos, lessons and practical examples, learners are introduced to key RDM concepts, data management planning, documentation, FAIR...
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Introduction to genome sequencing
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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,...