| Status | ||||
|---|---|---|---|---|
|
Short description
“metadata is the descriptor, and data is the thing being described” [https://doi.org/10.1162/dint_r_00024 ]
Metadata refers to the contextual information about a resource (e.g. a dataset), often described as “data about data”. Metadata can come in many different types and forms. The type of metadata you might be most familiar with is the descriptive metadata often collected in repositories such as Zenodo (see the example of how zenodo describes the resources on its repository). This generic metadata includes details on what the resource is about (e.g., data from patient health records), who created it (e.g., a research team at Radboudumc) and when it was collected. Typically, it also discloses information about the possible uses of the resource (e.g., applicable licensing) and access restrictions (e.g., available for public use/restricted access). Other types of metadata commonly used are:
...
Expertise requirements for this step
This section could describe the expertise required. Perhaps the Build Your Team step could then be an aggregation of all the “Expertise requirements for this step” steps that someone needs to fulfill his/her FAIRification goals. Experts that may need to be involved, as described in Metroline Step: Build the Team, are described below.
Researcher (Scientist). Someone who knows the context of the project and resource generation.
Practical examples from the community
...