Manually-curated neuroimaging meta-analyses are a valuable tool for leveraging the results of published studies to search for convergent brain activation and patterns underlying brain activation across the literature, even with a wealth of high-quality, automated tools. Such efforts have increased our understanding of schizophrenia, as more than hypofrontality, unveiled coordinating networks supporting cognition across a range of naturalistic fMRI paradigms, and highlighted dimensions of emotional processing. As the process of manually curating meta-analytic datasets can be time-intensive and subject to error, future efforts should focus on "semi-automated" dataset curation options, allowing researchers to leverage large-scale, automatically populated datasets and expedited manual annotation. Overall, the field of neuroimaging meta-analyses relies on data shared in publications and by researchers performing primary analyses, highlighting a need for sharing not only coordinate-based results, but statistical maps, as well.