This section offers additional information and guidance for the different RO-Crate metadata profiles developed during the project:
- Kernel Attributes cover all the general information that is common to any digital object. While they are described independently here, they don’t constitute a separate profile themselves, and instead are present in all of the other profiles.
- Dataset is used to describe the data sources, either as discrete datasets or continuous data streams that keep being updated with newer data.
- Model is a computational representation of a problem or a process that can be executed to simulate, solve, or analyse the behaviour of a system. Typically, they depend on one or multiple datasets for an accurate representation.
- Workflow captures multi-step methods involving different tools to collect, process and analyse data, which typically result in a certain output.
- Mapping Set represents a set of individual mappings between certain terms, typically describing the translation between two particular semantic artefacts.
The slide below presents a visual overview of the different metadata profiles, as well as the community standards that have been considered in their development:
