In addition to providing novel approaches that can support qualitative research, bibliographic data science can add significant value to Linked Open Data and other infrastructures by providing new techniques to monitor and improve data quality. Whereas bibliographical metadata collections are traditionally used for information storage and retrieval, we have demonstrated that systematic large-scale harmonization of the raw entries both within and across metadata collections can fill an important gap in their research use, and help to realize their research potential in publishing history.