- 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
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Summary
- Data management involves everything around planing, creating, capturing, recording, analysing, storing and sharing data
- The FAIR principles can guide us in thinking about good data management
- There are many benefits to sharing your data, both for you and other scientists
- Many funders and journals require data to be submitted to publicly available databases
- Metadata, data standards and ontologies can provide context, structure and meaning to your data, making it easier for others to understand and re-use it
- Creating a data management plan makes it easier to to make the most of your time and data, as well as sharing it with others – and there’s lots of tools to help you make your plan!