%0 Journal Article %A Tjuka, Annika %A Forkel, Robert %A List, Johann-Mattis %+ Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History, Max Planck Society CALC, Max Planck Institute for the Science of Human History, Max Planck Society Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Max Planck Society Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Max Planck Society CALC, Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Max Planck Society %T Linking norms, ratings, and relations of words and concepts across multiple language varieties : %G eng %U https://hdl.handle.net/21.11116/0000-000B-40F1-C %R 10.3758/s13428-021-01650-1 %D 2022 %* Review method: peer-reviewed %X Psychologists and linguists have collected a great diversity of data for word and concept properties. In psychology, many studies accumulate norms and ratings such as word frequencies or age-of-acquisition often for a large number of words. Linguistics, on the other hand, provides valuable insights into relations of word meanings. We present a collection of those data sets for norms, ratings, and relations that cover different languages: ‘NoRaRe.’ To enable a comparison between the diverse data types, we established workflows that facilitate the expansion of the database. A web application allows convenient access to the data (https://digling.org/norare/). Furthermore, a software API ensures consistent data curation by providing tests to validate the data sets. The NoRaRe collection is linked to the database curated by the Concepticon project (https://concepticon.clld.org) which offers a reference catalog of unified concept sets. The link between words in the data sets and the Concepticon concept sets makes a cross-linguistic comparison possible. In three case studies, we test the validity of our approach, the accuracy of our workflow, and the applicability of our database. The results indicate that the NoRaRe database can be applied for the study of word properties across multiple languages. The data can be used by psychologists and linguists to benefit from the knowledge rooted in both research disciplines. %K Cross-linguistic Comparison; Interdisciplinary Database; Test-driven Data Curation; Word and Concept Properties %Z Introduction Combing Forests of Data Materials and Methods Materials Methods - Manual Concept Mapping - Automated Concept Mapping - Semi-Automated Concept Mapping - Labeling Word and Concept Properties Validation Descriptive Statistics of NoRaRe Data Curation Workflow Data Applicability - Case Study 1: Replication of existing Findings - Case Study 2: Comparison of Concept Mappings - Case Study 3: Cross-Linguistic Comparison Discussion and Conclusion %J Behavior Research Methods %V 54 %& 864 %P 864 - 884 %I Springer