“Research data” are defined as factual records (numerical scores, textual records, images and sounds) used as primary sources for scientific research[…].
Définition from OECD 2007
Depending on its category (observational data, experimental data, etc.), research data requires special attention throughout its lifecycle.
Help ↗
The Codes Data Grenoble Alpes Office (CDGA) is there to help you with all aspects related to research data.
Lifecycle ↗
The acronym for Findable, Accessible, Interoperable, Reusable defines the basis for sharing data that is easy to find, accessible, interoperable and reusable. To meet these principles, the various aspects of the data lifecycle need to be taken into account.
Data Management Plan – Organising ↗
The data management plan helps you to anticipate the various aspects of the data life cycle: best practices, file formats, volume, etc.
Finding ↗
How do you find data in the multitude of resources available? Data warehouses, data papers, text mining…
Storing ↗
How do I know where to store my data?
- What should I store?
- What will be the volume of data?
- What level of security?
- …
Processing ↗
There are many tools and infrastructures for processing and analysing data, depending on the type of data, its volume and the type of analysis. How do you choose the right tool and learn how to use it?
Disseminate ↗
The FAIR principles incorporate, via the letter R, the notion of the re-usability of research data. However, the sharing of data must be done in a reasoned way: it’s not a question of disseminate all your data, immediately and anyhow.
Legal aspects ↗
Research data considered as completed and software are treated as administrative documents and public information.
- What is meant by completed data?
- Who owns the data?
- What are the publication rights and obligations?
- …