The main objective of the BigDataOcean project is to propose and validate maritime big data scenarios for the benefit of EU-based companies, organisations and scientists. This is achieved through a multi-segmented platform that combines data of different velocity, variety, and volume in an inter-linked, trusted, multilingual system, producing a big-data repository of high value and veracity for project participants and local communities.

On a technical level, BigDataOcean will provide the largest repository to date containing marine data, to facilitate big data use-cases. Furthermore, it will enhance that data with semantic information and link it to external data sources, to increase its value and make it easily reusable. Difficulties in cross-sector and multi-lingual integration will become a thing of the past, and the amount of pre-processing necessary will be far less.

In the business Level,BigDataOcean will contribute by enabling different stakeholders in a collaborative but also flexible (i.e.between private and public resources) repository for maritime big data, BigDataOcean will provide them with the tools (i.e. applications and APIs) to gain business logic capabilities on these data; Thus allow help them to make data-driven decisions based on diverse data resources, coming from well-trusted providers; And enable new business models that will secure sustainability and transparency in organisations operations.

On a scientific Level, BigDataOcean will allow scientists to easily automate hypothesis testing and analysis, as well as facilitate the extraction of data models. These processes will be further simplified via the structural enhancement that the data in the repository undergoes from different sources. Additionally, providing scientists with the repository allows them to focus on building better models and algorithms without having to worry about the data required to do so. By reducing the barriers of analysing maritime data, this type of research is made more appealing for stakeholders that are outside academia (e.g. NGOs, students, local communities, policy makers) who wish to run research tasks (e.g. determining causality between factors).


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