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Metadata refers to the contextual information about a resource, such as a dataset. This metadata can come in many types. The most familiar type provides overall information about a resource, which may include Perhaps the type of metadata you might be most familiar with is the one collected from data repositories when you make your data available (see the example of how zenodo describes the resources on its repository). This generic metadata includes details about 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 (e.g., 2023). 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 There are other types metadata that provide useful information areof metadata, below a non-exhaustive list:
Provenance metadata: This refers to how the resource came to be, what protocols were followed, and what data collection tools were used. The purpose of this metadata is to ensure that you, your colleagues or others can reproduce the initial research.
Content metadata: When speaking about dataDepending on the type of resource, this refers to a detailed description of the elements included in your dataset and their possible your resource that goes beyond the generic information explained above. For instance, in the context of a dataset containing data collected from a questionnaire, content metadata could include the questions asked and the allowed range of values.
In this step, the focus will be on assessing the availability of your metadata. This involves identifying and collecting all types of metadata being gathered about your resource. Check their quality and ensure they are as accurate and complete as possible. Depending on your objectives <point towards FAIR objectives>, this step is a good starting point. Whether you aim to simply gain a clear view of what metadata currently describes your resource, expand your current metadata, ensure compliance with requirements to publish it in a metadata catalogue <Point to Register resource level metadata> or follow a semantic model to describe your metadata; this step is common across multiple purposes.
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