Guest editors' note: IASSIST Quarterly Special Issue
Dear IASSISTers, Qualitative data and their collections are valuable treasures for re-use, re-analysis, and training. However, there is a tension inherent in qualitative data sharing between the desire for transparency and the complex ethical, methodological, and labor-intensive realities of sharing non-numeric materials. As the push for Open Science accelerates, researchers are increasingly required to navigate the high standards set by the FAIR, CARE, and TRUST principles. In response to data sharing expectations, qualitative researchers have expressed concerns about the ethical challenges, methodological concerns, and labor involved in making their data and materials publicly available.