r collaboration, help LAs generate insights, and ease data interoperability between local and national government. To deliver the project, we made careful use of the DfE’s initial specification (see report section 4, below), and developed this further using two phases of extensive user research which we documented in separate reports (sections 6.4 and 6.5). The project was a major collaboration between LAs across England, and in this report we tell the story of that collaboration and the project milestones (section 5). The final product comprises several separate code outputs and documents (section 6). The key resources are as follows: • Code and guidance for the specification is located at the Data to Insight code repository, hosted by GitHub: GitHub - data-to-insight/ssd-data-model: Standard Safeguarding Dataset (SSD). • The live specification is hosted for user navigation on GitHub Pages: data-to- insight.github.io/ssd-data-model/. • Code methods for producing SSD data extracts from CMS products are, at the time of writing, stored in a private repository within the data-to-insight (github.com) code library. • Key findings from initial user research are summarised in section 5.2, and detailed in a separate document “Summarising User Research” (June 2023). • Key findings from secondary use research are summarised in section 5.2, and detailed in the full report “SSD New Data Workshop Synthesis” (October 2023). • A separate “Future Support Plan” (February 2024) details our proposals for maintaining the SSD in 2024-25. The SSD’s successful delivery presents a range of opportunities for further work or interactions with ongoing initiatives in the sector, including relationships to other DDSF projects, possible initiatives to benefit LA data work, and benefits to DfE object