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In this step, the focus will be on assessing the availability of your metadata. This involves identifying and collecting all types of metadata gathered for your resource, checking their quality, and ensuring they are as accurate and complete as possible. This step is a good starting point and a common first step for multiple objectives (see also the Metroline Step: Define FAIRification objectives step), whether you aim to:
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 (see also the Metroline Step: Register resource level metadata step )
follow a semantic model to describe your metadata
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Why is this step important
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Beneficial for you and your team: Having comprehensive and detailed metadata ensures that anyone, including yourself, can understand and work on the data effectively even when some time as has passed since collection. This is an example of good data management practices and contributes to data remaining usable and meaningful over time and saves time when setting up new projects.
Beneficial for the organisation: Complete and error-free metadata makes it easier for organisations to migrate information about its projects between systems, especially when newer software versions are available.
Promotes higher research impact: Good metadata records reflect well on the researcher’s outputs. Potential data reusers might be put off by documentation issues and may not be inclined to use the data.
Beneficial for the organisation: well curated metadata increases the reuse of datasets. It increases interoperability between systems: Complete and error-free metadata makes it easier to migrate between systems (when newer (versions) of software are available)
Good image: Good metadata records reflects well as reusers of the data might be put off by documentation issues and might not use the data as much (Ig also for researchers?)
Improves the quality of your data: Good metadata should describe the data accurately and unambiguously, which in turn improves the overall quality of the data and enhances transparency and reproducibility. This enables others to verify results and build upon them.
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Regarding the National Health Data catalogue: Health-RI is in the process of defining a metadata scheme for adding metadata ( |
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Share or publish your metadata (:Metroline stepStep: Register your resource - level metadata)
Expand your metadata to include domain specific metadata(check this page: Petal instructions) : Domain-specific metadata schema development
Step 4 (Bonus Step!): Enhance Your Metadata
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Experts that may need to be involved, as described in https://health-ri.atlassian.net/wiki/spaces/FSD/pages/273350662/Metroline+Step: +Build+the+Team , are described below.
Data manager/Data steward/Data librarian, Researcher (Scientist)or someone else who knows the context and content of the project.
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This section should show the step applied in a real project. Links to demonstrator projects.
Training
https://carpentries-incubator.github.io/scientific-metadata/instructor/data-metadata.html#types-ofhtml#metadata
https://howtofair.dk/how-to-fair/metadata/#what-are-metadata
Suggestions
Visit our How to contribute page for information on how to get in touch if you have any suggestions about this page.
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