Entry: 3. Analysis ready

experimental

URI: http://reference.metoffice.gov.uk/DataCategories/data-readiness/Analysis-ready    

Analysis-ready data is unvalidated: available to others outside of the group that produces the data. It is well described and discoverable. It has no guarantee of validity to particular usage contexts and is only appropriate for use by experts who can validate the content themselves. Indeed, the act of analysis can be part of the process of validation. It conforms to some standard of meta-data description and structure, such that consumers can use shared standard tooling to explore and use the content. Metadata on the source and provenance of the data becomes important, as the ways of working require direct interaction between producer to consumer as the data may not be fully documented and the subtleties of the context in which the data is valid may not be clear. There is no guarantee that the content is correct from an environmental science perspective. The inherent risks in use of this data are that they are unvalidated, may be misleading, and may not be valid in the context of use. Mitigation is that it is qualified and shared with experts on a limited basis.

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is a Concept | data readiness
submitted bymo-marqh
accepted on 14 Jun 2022 08:02:47.807

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date accepted 14 Jun 2022 08:02:47.807
date submitted 1 Jun 2022 08:23:06.037
definition
entity 3. Analysis ready
source graph graph

description Analysis-ready data is unvalidated: available to others outside of the group that produces the data. It is well described and discoverable. It has no guarantee of validity to particular usage contexts and is only appropriate for use by experts who can validate the content themselves. Indeed, the act of analysis can be part of the process of validation. It conforms to some standard of meta-data description and structure, such that consumers can use shared standard tooling to explore and use the content. Metadata on the source and provenance of the data becomes important, as the ways of working require direct interaction between producer to consumer as the data may not be fully documented and the subtleties of the context in which the data is valid may not be clear. There is no guarantee that the content is correct from an environmental science perspective. The inherent risks in use of this data are that they are unvalidated, may be misleading, and may not be valid in the context of u...
item class data readiness | Concept
label 3. Analysis ready
notation Analysis-ready
register data readiness
status status experimental
submitter
account name https://api.github.com/users/mo-marqh
name mo-marqh

type register item
version info 2
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Definition

description Analysis-ready data is unvalidated: available to others outside of the group that produces the data. It is well described and discoverable. It has no guarantee of validity to particular usage contexts and is only appropriate for use by experts who can validate the content themselves. Indeed, the act of analysis can be part of the process of validation. It conforms to some standard of meta-data description and structure, such that consumers can use shared standard tooling to explore and use the content. Metadata on the source and provenance of the data becomes important, as the ways of working require direct interaction between producer to consumer as the data may not be fully documented and the subtleties of the context in which the data is valid may not be clear. There is no guarantee that the content is correct from an environmental science perspective. The inherent risks in use of this data are that they are unvalidated, may be misleading, and may not be valid in the context of u...
label 3. Analysis ready
notation Analysis-ready
type Concept | Data Readiness