The aim of this study is to enhance Brunel University London’s local publication data using software which retrieves and processes information from the global open science services of Sherpa REF, CORE, and Unpaywall.

This final report of the four part series examines the sourcing and scaling choices made by the four research universities regarding their acquisition of Research Data Management (RDM) capacity.

Algorithmic decision-making is becoming more common every day. Increasingly, important decisions that affect people’s lives are governed by datasets that are too big for an individual to process.

This report sets out how the public sector could benefit from a federated, data-driven approach – one that provides greater power to its leaders, benefits its participants and users, and improves performance through better use of, and structured access to, data.

This discussion paper opens consultation with VET Student Loans (VSL) stakeholders to seek views on how the department and DHS can ensure relevant, high quality data is collected through the Collection, using best practice submission processes.