- Course overview
- Search within this course
- What is antimicrobial resistance?
- How do we study pathogens?
- Public pathogen data
- A guide to the Pathogens Portal
- Analysing genomic data from pathogens
- Identification and investigation of antimicrobial resistance genes
- Looking for antimicrobial resistance genes in different environments
- The future of AMR
- Crossword: Test your knowledge
- Your feedback
- Further resources
- Help and support
- Glossary
- 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.
FAIR principles
In addition to benefiting you and the wider scientific community, data sharing also helps to ensure that your data abides by the FAIR principles:
- Findable – ensure data can be found, for example by using unique identifiers and clear metadata
- Accessible – ensure data can be retrieved using the unique identifier; this may require user authorisation where necessary (e.g. access to sensitive data)
- Interoperable – ensure use of shared formats, vocabularies and ontologies
- Reusable – ensure data are clearly described, meet community standards and have a usage licence
The FAIR guiding principles for scientific data management and stewardship were established to maximise the usability and value of data. They aim to promote data sharing, reproducibility, and transparency in research, and are widely supported by funding bodies, journals, and institutions [6].
Submitting to data resources supports adherence to the FAIR principles, for example by requiring submission of specific metadata and making data available using a specified licence.
| Have you ever been in a situation where you can’t find data you produced a year before? The FAIR principles help with this too! |