Community-augmented meta-analysis (CAMA) platforms pioneer a new standard for promoting FAIR (findable, accessible, interoperable, reusable) data sharing, and allow dynamic and interactive meta-analysis which ensures reproducibility of results (Tsuji et al., 2014). As the area of (special) education research moves towards open science practices, our CAMA platform sets to facilitate data sharing of meta-analyses and make evidence-based practice accessible to practitioners. Furthermore, we aim to promote high-quality standards in conducting evidence synthesis, which are still not readily implemented in the education research area (Nordstrom et al., 2023).Our platform provides Bayesian and frequentist meta-analytic methods, interactive interface to conduct and visualize the analyses, easy-to-understand results and a large database of extracted effects that can be downloaded and reused by researchers. Users can conduct various moderator analyses, based on demographic information, risk of bias assessment, or study characteristics, and contribute to the database by submitting new extracted effects.