Open science principles inspire collaboration in research. Sharing qualitative data obtained in management research, however, has been constrained by concerns for data privacy and confidentiality. OPEN-QUAL develops methodological principles for an innovative, decentralized approach to data reuse with no sharing of raw data. Decentralized analysis makes it possible to leverage the versatility of qualitative data and enables comparison across cases and datasets. We facilitate future data reuse by developing a discovery platform for finding relevant qualitative datasets and disseminating protocols. Thereby OPEN-QUAL contributes to more effective use of resources invested in qualitative research in management and other domains.