equirements from government. 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) 6.2. The SSD specification pipeline In technical terms, the SSD specification is a live, public, open-source document backed by an automated process for generating the various presentation views and associated documentation. This means that changes to the specification are visible through clear version control and historical documentation, and there is an efficient process for recreating necessary documentation after any change. The solution is Python based, generating YAML file structures, drawing from a Microsoft Excel working specification document (imported as .csv). This provides flexibility to dataset designers, and reproducibility for documentation managers. It provides an open code base for users to scrutinise as they see fit, paired with straightforward and comprehensive specification documents. The project has opted for YAML data structures over such as XML for SSD data object definitions. YAML's more human-readable format and provision for annotations directly within the file, is expected to lower the learning curve for LA involvement/further development, enabling both technical and non-technical colleagues to better understand the data object specifications. Concurrently the YAML files have facilitated a more modular approach to configuration, where each data object is defined in its own file, reducing potential overheads for maintaining, extending and scaling the project. The specification workflow is currently based around the Excel/csv working specification document, however, this workflow stage can be easily removed, and the specification main