Abstract
Maritime transport plays nowadays a key role in the global economy. In this context, assurance of safety and security at sea is of prime importance. To this end, in the maritime domain there exists number of information systems that improve safety, identify hazardous areas and suspicious ships. These systems generate large amounts of data that are characterised with a different, often not sufficient, quality. Assurance of maritime data quality is an important aspect that determines if the data can be used to take informed decision. This paper presents the quantitative assessment of maritime data quality, investigates if the real data meets data quality standards and detects what are the most common quality issues. The presented analysis is conducted on one of the most popular maritime data source – Automatic Identification System (AIS). The paper shows also a potential stemming from utilization of Big Data technologies in a process of data quality assessment.
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Notes
- 1.
The database provided by “IHS Markit” https://ihsmarkit.com/products/maritime-ships-register.html (accessed in October 2018).
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Stróżyna, M., Filipiak, D., Węcel, K. (2020). Data Quality Assessment – A Use Case from the Maritime Domain. In: Abramowicz, W., Klein, G. (eds) Business Information Systems Workshops. BIS 2020. Lecture Notes in Business Information Processing, vol 394. Springer, Cham. https://doi.org/10.1007/978-3-030-61146-0_1
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