- Course overview
- Search within this course
- What is data management?
- Managing and making the most of your data
- Why share your data?
- What happens to your data?
- Giving data context, structure and meaning
- Tools for data management planning
- Myths and best practice
- How and why to make your data open?
- BioSamples: a FAIR sample metadata archive
- Maintenance of life science data by biocurators
- Summary
- Quiz: test your knowledge
- Your feedback
- References
All materials are free cultural works licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, except where further licensing details are provided.
Giving data context, structure and meaning
Metadata, standards and ontologies are common ways of providing data with context, structure and meaning. In this webinar Sira explores the idea of once data are ontologised (mapped to standard structured vocabulary), they become linkable to build a bigger infrastructure of knowledge network and provides a few scientific examples of how knowledge are drawn from linked data. She also provides a brief overview of tools that can be used to give data context, structure and meaning at different stages of the data lifecycle.
This webinar took place on Thursday 19 July 2018. The slides from this webinar can be downloaded here.
To learn more about ontologies you can read James Malone’s blog Common Ontology Questions #1: What is it you do again?