en.Wedoany.com Reported - Offshore wind service company Venterra Group has launched a cloud-based platform, V-Data, providing offshore wind developers with direct access to real-time marine meteorological (metocean) measurement data, aiming to reduce inefficiencies in traditional data management workflows.

Developed by Partrac, a metocean and seabed consultancy under Venterra, the platform leverages over two decades of experience supporting offshore wind measurement activities. Partrac has provided metocean measurement support for several large-scale offshore wind projects, including Dogger Bank and Moray West.

V-Data is designed to address the challenges of managing the vast amounts of metocean data generated over years of offshore wind development activities. Traditionally, project teams rely on scattered files, manual transfers, and fragmented reporting processes to manage measurement data used for project design, permitting, and investment decisions. The new platform integrates datasets, metadata, and operational reports into a cloud-based environment, incorporating automated data pipelines, direct API interfaces with existing project workflows, and quality-controlled data management overseen by Partrac's metocean experts.

According to Venterra, the API-supported structure also facilitates the application of machine learning and artificial intelligence tools to project datasets, thereby accelerating analysis and decision-making.

Sam Athey, Managing Director of Partrac, stated that measurement technology in offshore wind has advanced significantly, but the way data actually reaches those who need it has barely changed. Project teams are still dealing with email attachments, manual handovers, and spreadsheets when they should have direct, real-time access to quality-assured data. V-Data is the company's response to this, built by those who run these activities for those who rely on the data.

This launch reflects the offshore wind industry's ongoing efforts to digitize project workflows and improve the accessibility, traceability, and quality of data used throughout the development process.

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