Marine Data Sharing: Challenges, Technology Drivers and Quality Attributes-Reference-Cited by-同舟云学术

Marine Data Sharing: Challenges, Technology Drivers and Quality Attributes

Published:2022 Issue: Volume: Page:124-140
ISSN:0302-9743
Container-title:Product-Focused Software Process Improvement
language:
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Author:

Lima Keila^ORCID,Nguyen Ngoc-Thanh^ORCID,Heldal Rogardt^ORCID,Knauss Eric^ORCID,Oyetoyan Tosin Daniel^ORCID,Pelliccione Patrizio^ORCID,Kristensen Lars Michael^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-21388-5_9

Reference30 articles.

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3. Asche, F., Hansen, H., Tveteras, R., Tveterås, S.: The salmon disease crisis in Chile. Mar. Resour. Econ. 24(4), 405–411 (2009)

4. Buck, J.J., et al.: Ocean data product integration through innovation-the next level of data interoperability. Front. Mar. Sci. 6, 32 (2019)

5. Byabazaire, J., O’Hare, G., Delaney, D.: Using trust as a measure to derive data quality in data shared IoT deployments. In: ICCCN, pp. 1–9 (2020)

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1. A Data-Flow Oriented Software Architecture for Heterogeneous Marine Data Streams;2024 IEEE 21st International Conference on Software Architecture (ICSA);2024-06-04

2. Marine Data Observability using KPIS: An MDSE Approach;2023 ACM/IEEE 26th International Conference on Model Driven Engineering Languages and Systems (MODELS);2023-10-01

3. Synthesized Data Quality Requirements and Roadmap for Improving Reusability of In-Situ Marine Data;2023 IEEE 31st International Requirements Engineering Conference (RE);2023-09