Journées IST 2021-2022 || écoles doctorales - SCD
Julien Rabaud | 
| @ujubib(SCD - Service d’appui à la recherche)
UPPA - décembre 2021
Pour commencer
De l’Open Access à l’Open Science
La Science Ouverte au quotidien
Partage d’expériences
Ouvrir la science : Cartographie mondiale des acteurs de la science ouverte
UNESCO - FOSTER - SPARC Europe - RDA (Research Data Alliance) - cOAlition S - Force 11 - Center for Open Science - Open Knowledge Fundation - DARIAH - Triple - …
Elsevier - Springer - …
Carnets de recherche
Science citoyenne…
Comme décrits ici, d’après The FAIR Guiding Principles for Scientific Data Management and Stewardship.
“The principles refer to three types of entities: data (or any digital object), metadata (information about that digital object), and infrastructure. For instance, principle F4 defines that both metadata and data are registered or indexed in a searchable resource (the infrastructure component)”.
Findable, Accessible, Interoperable, Reusable.
The first step in (re)using data is to find them. Metadata and data should be easy to find for both humans and computers. Machine-readable metadata are essential for automatic discovery of datasets and services, so this is an essential component of the FAIRification process.
Once the user finds the required data, she/he/they need to know how can they be accessed, possibly including authentication and authorisation.
The data usually need to be integrated with other data. In addition, the data need to interoperate with applications or workflows for analysis, storage, and processing.
The ultimate goal of FAIR is to optimise the reuse of data. To achieve this, metadata and data should be well-described so that they can be replicated and/or combined in different settings.