Ocean science data: Collection, management, networking and services
Manzella, G.; Novellino, A. (Ed.) (2022). Ocean science data: Collection, management, networking and services. Elsevier: Amsterdam, Oxford. ISBN 9780128234273 ; e-ISBN 9780128225950 . xiii, 382 pp. |
| Authors | | Top | - Manzella, G., editor
- Novellino, A., editor
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| Content | - Beja, J.; Vandepitte, L.; Benson, A.; Van de Putte, A.; Lear, D.; De Pooter, D.; Moncoiffé, G.; Nicholls, J.; Wambiji, N.W.; Miloslavich, P.; Gerovasileiou, V. (2022). Data services in ocean science with a focus on the biology, in: Manzella, G. et al. (2022). Ocean science data: Collection, management, networking and services. pp. 67-129, more
- Larkin, K.; Marsan, A.; Tonné, N.; Van Isacker, N.; Collart, T.; Delaney, C.; Vasquez, M.; Manca, E.; Lillis, H.; Calewaert, J.-B. (2022). Connecting marine data to society, in: Manzella, G. et al. Ocean science data: Collection, management, networking and services. pp. 283-316. https://doi.org/10.1016/B978-0-12-823427-3.00003-7, more
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| Abstract | Ocean Science Data: Collection, Management, Networking, and Services presents the evolution of ocean science, information, theories, and data services for oceanographers looking for a better understanding of big data. The book is divided into chapters organized under the following main issues: marine science, history and data archaeology, data services in ocean science, society-driven data, and coproduction and education. Throughout the book, particular emphasis is put on data products quality and big data management strategy; embracing tools enabling data discovery, data preparation, self-service data accessibility, collaborative semantic metadata management, data standardization, and stream processing engines. Ocean Science Data provides an opportunity to start a new roadmap for data management issues, to be used for future collaboration among disciplines. This will include a focus on organizational objectives such as improved performance, competitive advantage, innovation, the sharing of lessons learned, integration, and continuous improvement of data management organization. This book is written for ocean scientists at postgraduate level and above as well as marine scientists and climate change scientists. |
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