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Research Ideas and Outcomes 10: e120483
https://doi.org/10.3897/rio.10.e120483 (28 Mar 2024)
https://doi.org/10.3897/rio.10.e120483 (28 Mar 2024)
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Article metadata
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Background
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Data Collection Challenges
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Data Integration Challenges
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Addressing Data Challenges
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Conceptual Framework
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Operational Framework
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Biological Objects: Specimens, Lots, Bulk Samples and Environmental DNA
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Operational Entities: Darwin Core MaterialSample vs. Event Class
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Ontological Framework
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The Distinction Between Data and Metadata
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Main Ontological Categories
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Provenance
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Attributes
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History
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Database Prototype
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Overall System Requirements
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Data Architecture
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Relational Structure and Primary Keys
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Data Schema
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Geographic reference
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Collecting Event Core Entities
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Collection Management — MaterialSample Entities (Biological Objects)
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MaterialSample Organisation
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Lab Work—Analytical Event
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Research Administration
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Ancillary Data Modules
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Taxonomic Annotation and Occurrence Records
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Additional Database Features and Best Practices
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Mapping the Data Schema Against the Operational Framework
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Pre-printed MaterialSample Labels
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Pre-printed Analogue Field Data Journals
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Data Connectivity and Conversion
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Automation and Integration
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General Data Maintenance and Validation
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Unstructured and Analogue Data Curation
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Making eDNA Data Findable, Accessible, Interoperable and Reusable (FAIR)
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General Conclusions
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Acknowledgements
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References
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Supplementary files
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