Managing research data with a view to reproducibility and open science covers a range of best practices throughout the data life cycle. Various stakeholders at Centrale Lyon support researchers at these different stages.
Good management of research data, and opening it up where possible, has several advantages :
- Avoid the loss of data by ensuring secure storage and perennial archiving at the end of the project.
- Avoid the production of data that cannot be reused because it is poorly or not organised and documented.
- Ensure the reproducibility of research by enabling the validation of results.
- Value the researcher's work by publishing a dataset with DOI, linked to the publication.
- Initiate collaborations with other researchers and laboratories.
- Optimise the use of public money by avoiding the production of redundant data.
The diagram above shows the different stages of the data life cycle in a research project, as well as the practices and support services offered at Centrale Lyon for each stage.
The basic lifecycle diagram is taken from Doranum, a national platform for educational resources on managing and sharing research data.
Need help?
For any questions about research data, please contact us via the form "Research Services - Data Management"
