Abstract
AHEAD pools and harmonizes microdata from Early Grade Reading Assessment (EGRA) and Early Grade Mathematics Assessment (EGMA) surveys conducted in African countries. The harmonisation was undertaken within the Gates funded 'African Foundational Learning Data Hub' project of DataFirst. Each constituent survey was originally captured with its own variable names, numeric codes, and value labels. The harmonization assigns a single canonical variable name, code, label scheme to comparable items across surveys to produce one analysis-ready pooled data file suitable for cross-country and cross-time comparative research on early-grade literacy and numeracy across diverse educational contexts. Survey-level documentation, including assessment sub-tasks, sampling design commands, and source-linking instructions, is available in Study Catalogue: [https://datafirst-aflearn.github.io/ahead/]