Machine actionable metadata models
Community-developed minimum information checklists are designed to drive the rich and consistent reporting of metadata, underpinning the reproducibility and reuse of the data. These reporting guidelines, however, are usually in the form of narratives intended for human consumption. Modular and reusa...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
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Springer Nature
2022
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| _version_ | 1826309264707158016 |
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| author | Batista, D Gonzalez-Beltran, A Sansone, S Rocca-Serra, P |
| author_facet | Batista, D Gonzalez-Beltran, A Sansone, S Rocca-Serra, P |
| author_sort | Batista, D |
| collection | OXFORD |
| description | Community-developed minimum information checklists are designed to drive the rich and consistent reporting of metadata, underpinning the reproducibility and reuse of the data. These reporting guidelines, however, are usually in the form of narratives intended for human consumption. Modular and reusable machine-readable versions are also needed. Firstly, to provide the necessary quantitative and verifiable measures of the degree to which the metadata descriptors meet these community requirements, a requirement of the FAIR Principles. Secondly, to encourage the creation of standards-driven templates for metadata authoring, especially when describing complex experiments that require multiple reporting guidelines to be used in combination or extended. We present new functionalities to support the creation and improvements of machine-readable models. We apply the approach to an exemplar set of reporting guidelines in Life Science and discuss the challenges. Our work, targeted to developers of standards and those familiar with standards, promotes the concept of compositional metadata elements and encourages the creation of community-standards which are modular and interoperable from the onset. |
| first_indexed | 2024-03-07T07:31:35Z |
| format | Journal article |
| id | oxford-uuid:3ca9b46f-e843-4ce4-8141-713ac3cf7dda |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T07:31:35Z |
| publishDate | 2022 |
| publisher | Springer Nature |
| record_format | dspace |
| spelling | oxford-uuid:3ca9b46f-e843-4ce4-8141-713ac3cf7dda2023-01-27T13:55:11ZMachine actionable metadata modelsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:3ca9b46f-e843-4ce4-8141-713ac3cf7ddaEnglishSymplectic ElementsSpringer Nature2022Batista, DGonzalez-Beltran, ASansone, SRocca-Serra, PCommunity-developed minimum information checklists are designed to drive the rich and consistent reporting of metadata, underpinning the reproducibility and reuse of the data. These reporting guidelines, however, are usually in the form of narratives intended for human consumption. Modular and reusable machine-readable versions are also needed. Firstly, to provide the necessary quantitative and verifiable measures of the degree to which the metadata descriptors meet these community requirements, a requirement of the FAIR Principles. Secondly, to encourage the creation of standards-driven templates for metadata authoring, especially when describing complex experiments that require multiple reporting guidelines to be used in combination or extended. We present new functionalities to support the creation and improvements of machine-readable models. We apply the approach to an exemplar set of reporting guidelines in Life Science and discuss the challenges. Our work, targeted to developers of standards and those familiar with standards, promotes the concept of compositional metadata elements and encourages the creation of community-standards which are modular and interoperable from the onset. |
| spellingShingle | Batista, D Gonzalez-Beltran, A Sansone, S Rocca-Serra, P Machine actionable metadata models |
| title | Machine actionable metadata models |
| title_full | Machine actionable metadata models |
| title_fullStr | Machine actionable metadata models |
| title_full_unstemmed | Machine actionable metadata models |
| title_short | Machine actionable metadata models |
| title_sort | machine actionable metadata models |
| work_keys_str_mv | AT batistad machineactionablemetadatamodels AT gonzalezbeltrana machineactionablemetadatamodels AT sansones machineactionablemetadatamodels AT roccaserrap machineactionablemetadatamodels |