FDO Manager: Minimum Viable FAIR Digital Object Implementation
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866911070941085696 |
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| author | Zoubia, Oussama Asundi, Nagaraj Bahubali Koumpis, Adamantios Lange, Christoph Dogan, Sezin Beyan, Oya Boukhers, Zeyd |
| author_facet | Zoubia, Oussama Asundi, Nagaraj Bahubali Koumpis, Adamantios Lange, Christoph Dogan, Sezin Beyan, Oya Boukhers, Zeyd |
| contents | In the digital age, data has emerged as one of the most valuable assets across various sectors, including academia, industry, and healthcare. Effective data preservation involves the management of data to ensure its long-term accessibility and usability. Given the importance and sensitivity of data, the need for effective management is a crucial necessity. One of the big recent proposed approaches for data management is the FAIR Digital Objects (FDOs) which has emerged to revolutionize the field of data management and preservation. Central to this revolution is the alignment of FDOs with the FAIR principles (Findable, Accessible, Interoperable, Reusable), particularly emphasizing machine-actionability and interoperability across diverse data ecosystems. This paper presents "FDO Manager" a Minimum Viable Implementation of FDOs, tailored specifically for the use case and field of research artefacts such as datasets, publications, and code. The paper discusses the core ideas behind the FDO Manager, its architecture, usage and implementation details, as well as its potential impact, demonstrating a simple and abstract implementation of FDOs in the research realm. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2402_03812 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | FDO Manager: Minimum Viable FAIR Digital Object Implementation Zoubia, Oussama Asundi, Nagaraj Bahubali Koumpis, Adamantios Lange, Christoph Dogan, Sezin Beyan, Oya Boukhers, Zeyd Distributed, Parallel, and Cluster Computing In the digital age, data has emerged as one of the most valuable assets across various sectors, including academia, industry, and healthcare. Effective data preservation involves the management of data to ensure its long-term accessibility and usability. Given the importance and sensitivity of data, the need for effective management is a crucial necessity. One of the big recent proposed approaches for data management is the FAIR Digital Objects (FDOs) which has emerged to revolutionize the field of data management and preservation. Central to this revolution is the alignment of FDOs with the FAIR principles (Findable, Accessible, Interoperable, Reusable), particularly emphasizing machine-actionability and interoperability across diverse data ecosystems. This paper presents "FDO Manager" a Minimum Viable Implementation of FDOs, tailored specifically for the use case and field of research artefacts such as datasets, publications, and code. The paper discusses the core ideas behind the FDO Manager, its architecture, usage and implementation details, as well as its potential impact, demonstrating a simple and abstract implementation of FDOs in the research realm. |
| title | FDO Manager: Minimum Viable FAIR Digital Object Implementation |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2402.03812 |