part of M4468 – Plant developmental genetics, evolutionand biostatistics in the CEPLAS research program November 8th, 2023 Dominik Brilhaus, CEPLAS Data Science
Pad: https://pad.hhu.de/oI-NjeUtSHSMzk5huWRkJw
Slides will be shared via DataPLANT knowledge base and the Sciebo folder
https://doi.org/10.1038/sdata.2016.18
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.
https://www.go-fair.org/fair-principles/
Once the user finds the required data, she/he/they need to know how they can 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.
The principles refer to three types of entities: data (or any digital object), metadata (information about that digital object), and infrastructure.
Slides presented here include contributions by