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    Establishing a Data Culture Using Frameworks to Navigate the Waves of Marine Data

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    Author
    Flynn, Sarah
    Keenan, Tara
    Bogan, Yvonne
    Brophy, Laura
    Currie, David
    Leadbetter, Adam
    Maloney, Martina
    Manson, Keith
    Melville, Colin
    O'Grady, Eoin
    Thomas, Rob
    Whittle, Brendan
    Conway, Andrew
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    Keyword
    Data Management; Marine Data Governance & Reuse; FAIR Principles; Digital Preservation; CoreTrustSeal; Expectation Management; People
    Date
    2025-09-08
    Publisher
    CODATA
    
    Metadata
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    Abstract
    The Marine Institute has worked to establish itself as a trusted source of FAIR (Findable, Accessible, Interoperable, Reusable) data through internationally recognised frameworks such as the Data Management Quality Management Framework and CoreTrustSeal. These have supported the effective handling of complex, multi stakeholder marine data central to Ireland’s Marine Spatial Planning. This paper presents a summary of these frameworks, and how they have evolved to meet ongoing needs, an analysis of how they fulfil international standards and principles, and lessons learned during their implementation. Preserving marine data is essential to maximise the long-term value of oceanographic research and environmental monitoring. Marine datasets, ranging from biodiversity and ocean chemistry to climate trends, require extensive resources to gather. Ensuring their preservation allows future researchers to analyse historical changes, improve predictive models, and collaborate across disciplines and regions. Standardisation, secure storage, and proper documentation are vital for keeping data accessible, interpretable, and trustworthy. The Marine Institute’s approach highlights that frameworks and certifications, while critical, are not enough. Success depends on a data culture that supports skilled and empowered people, clear communication, and continuous learning. Technical systems must be matched by human engagement and adequate resourcing. Marine data management is a collaborative discipline, requiring integration of people, technologies, and methodologies to ensure data quality and reuse. Through continued leadership support, staff engagement and a willingness to embrace change across all levels, the Marine Institute’s marine data management is well positioned for the future.
    URI
    http://hdl.handle.net/10793/2070
    Citation
    Flynn, S., Keena, T., Bogan, Y., Brophy, L., Currie, D., Leadbetter, A., Maloney, M., Manson, K., Melville, C., O’Grady, E., Thomas, R., Whittle, B. and Conway, A. 2025 Establishing a Data Culture Using Frameworks to Navigate the Waves of Marine Data. Data Science Journal, 24: 24, pp. 1–19. DOI: https://doi. org/10.5334/dsj-2025-024
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