Fiskerihavner
Definition: Fiskerihavner.
Submitter: Norwegian Mapping Authority
Owner: The Norwegian Coastal Administration
Definition: Fiskerihavner.
Datasettet benyttet primært i forbindelse med intern saksbehandling opp mot fiskerihavntilskudd, men gir også nyttig oversikt for aktuelle kommuner og andre interessenter.
There have made various tests to evaluate datasets in relation to the FAIR criteria. These are our interpretations, which then assess the criteria in relation to standards and protocols used for spatial data in Norway and Europe. For more information on which calculations we use for each indicator, look at the details of FAIR assessments for each specific dataset.
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Good (over 90%): The dataset adheres to the FAIR principles in a good way. You must do qualitative research yourself to assess any measures to further improve conditions regarding re-use.
Satisfactory (75-90%): The dataset meets many of the FAIR principles, but should be improved in several areas to ensure reuse.
Needs improvement (50-75%): The dataset meets a few of the FAIR principles in a good way, and needs to be improved in several areas.
Poor (less than 50%): The dataset has major shortcomings in terms of meeting FAIR principles and needs to be improved in many areas
Findable: Metadata and data should be easy to find for both humans and computers. Machine-readable metadata are essential for automatic discovery of datasets and services
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Accessible: Datasets must be accessible through standardized and open interfaces.
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Interoperabel: The data usually need to be integrated with other data. In addition, the data need to interoperate with applications or workflows for analysis, storage, and processing.
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Reusable: The ultimate goal of FAIR is to optimise the reuse of data. To achieve this, metadata and data should be well-described so that they can be replicated and/or combined in different settings.
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