An Operational Data Analytics Framework for data and information products and services.

Building on data managed through the Marine Institute’s internationally accredited Data Management Quality Management Framework this project will implement an operational analytics framework to support the development of high-quality and well managed information products and services.

The framework will underpin how data from a range of disciplines and programmes will feed into marine environmental reporting, marine data products, decision support tools, and support awareness and understanding of our marine environment through enhanced data visualisation capabilities.

The project will implement digital analysis and visualisation tools to analyse and present data and information in meaningful ways for key stakeholders within the Marine Institute and key partner agencies. It will enable services which support cross-team analysis and understanding, leading to efficient and collaborative evidence-based decision making, based on a common process and toolset, leading to high-quality, reproducible and transparent information.

This project will:

1. Develop an operational data analytics framework to facilitate the collaborative development and quality assurance of information and data products and services for marine decision support and management. This will be applied across teams and programmes including for MSP, MSFD, DCF, ocean renewable energy and climate use cases, aquaculture and food safety. The framework will include a set of managed tools and standardised data views, with a well-defined and repeatable quality assurance process, ensuring high-quality, reproducible and transparent outputs.
2. Implement operational software and related services for data analysis and visualisation which can support improved access to data and information products for fisheries, aquaculture and marine management, and enable more responsive and efficient development of new information products for programmes such as MSP, MSFD, DCF, ocean renewable energy and/or climate use cases, aquaculture and food safety.
3. Implement an extension to the Data Management QMF to support quality assurance of the resulting data products and services, for collaborative development of reproducible information products and services e.g. for aquaculture and food safety data, for MSP data products, etc.
4. Undertake workshops to support scientists to apply the tools and process when developing new information products. The resulting outputs will support the development of information products for fisheries and aquaculture management, for marine planning and environmental reporting, and for marine climate and renewable ocean energy uses.