Abstract
In the past, the data-capturing tasks involved in researching and developing maritime projects were often time-consuming and costly. It was not unusual that different project ventures, unaware that other projects were similarly engaged, were unknowingly simultaneously gathering data of a similar nature or even the very same data. As part of an initiative to prevent such a waste of resources, a number of international organizations decided to make high-quality maritime data, which had been painstakingly collected over many years, freely accessible to the public. The aim of this chapter is to draw up a compilation of maritime datasets that hundreds of core and strategic data sources across the world make freely available online at the time of writing. These datasets provide, in their large majority, and each one in its own field, a complete and detailed view of the entire aquatic environment of the earth. Ultimately, this chapter intends to contribute a useful working tool to all who operate as experts or as users of maritime geographic information systems. If this chapter manages in a helpful way to set readers on the path to successfully finding and selecting the data that fit their needs and to navigating effortlessly the sea of online information, then it will have achieved its goal.
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Notes
- 1.
Please note that the major data sources providing vessel accidents data (involving a vessel sinking, foundering, grounding, or being otherwise lost) are reported in Sect. 2.6.3 because of the potential gravity of the impact on the environment of such incidents.
- 2.
These are maps in formats similar to digital photographs, the entire areas of which is subdivided into a grid of tiny cells or pixels, and the value of every one of these cells represents the colour or/and any other useful information (referring to the temperature, etc.) related to the corresponding location on the earth.
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Tzouramanis, T. (2021). Navigating the Ocean of Publicly Available Maritime Data. In: Artikis, A., Zissis, D. (eds) Guide to Maritime Informatics. Springer, Cham. https://doi.org/10.1007/978-3-030-61852-0_2
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