- 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.
Myths and best practice
In this webinar, Melissa Burke and Sarah Morgan provide a summary of the series. They point out key hints and tips for managing your own data and address some of the most burning data management questions that have arisen while making the series.
To learn more about data management you can:
- Explore the Digital Curation Centre’s data management resources
- Speak to the data management team at your own institute
- Visit Fairsharing.org to learn about metadata, standards, databases and data policies
- Use re3data.org or the EBI’s data sharing wizard to find a repository that is appropriate for the type of data you are creating
- Read about FAIR guiding principles