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Disclaimer: This FAIR Metroline Step focuses solely on the registration of metadata. It does not cover the technical details of metadata schemas or FAIR Data Point, both of which will be detailed in subsequent FAIR Metroline Steps.
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‘Perfectly good data resources may go unused simply because no one knows they exist. There are many ways in which digital resources can be made discoverable, including indexing.’ (GO FAIR) In layman’s terms (Jip en Janneke), add an easy to follow summary, using around three sentences. |
Short description
Metadata is essential for describing information about your resource, whether it is a dataset, article, software, report or other project outputs. In this chapter, we explain how to make metadata about your resources available online so others can find it. As explained in A Generic Workflow for the Data FAIRification Process, this step will help you make your data resources more Findable by registering them in a searchable repository, such as a metadata catalogue.
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Resource type | Resource subtype | Metadata element | Description |
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Dataset | Lab data | Collection methods | Description of the method or instruments used to collect the data. |
Date Data sources | Information about where or from whom the data was collected. | ||
Python code | Contributors | Names or IDs of other individuals who contributed to the code. |
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Relevant training will be added in the future if availablesoon.
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