Abstract

Cross-cultural research provides invaluable information about the origins of and explanations for cognitive and behavioral diversity. Interest in cross-cultural research is growing, but the field continues to be dominated by WEIRD (Western, Educated, Industrialized, Rich, and Democratic) researchers conducting WEIRD science with WEIRD participants, using WEIRD protocols. To make progress toward improving cognitive and behavioral science, we argue that the field needs (1) data workflows and infrastructures to support long-term high-quality research that is compliant with open-science frameworks; (2) process and participation standards to ensure research is valid, equitable, participatory, and inclusive; (3) training opportunities and resources to ensure the highest standards of proficiency, ethics, and transparency in data collection and processing. Here we discuss infrastructures for cross-cultural research in cognitive and behavioral sciences which we call __Cross-Cultural Data Infrastructures (CCDIs).__ We recommend building global networks of psychologists, anthropologists, demographers, experimental philosophers, educators, and cognitive, learning, and data scientists to distill their procedural and methodological knowledge into a set of community standards. We identify key challenges including protocol validity, researcher diversity, community inclusion, and lack of detail in reporting quality assurance and quality control (QAQC) workflows. Our objective is to help promote dialogue and efforts towards consolidating robust solutions by working with a broad research community to improve the efficiency and quality of cross-cultural research.