IPUMS qualitative resources: Supporting robust social science research
DOI:
https://doi.org/10.29173/iq1163Keywords:
IPUMS harmonized data, qualitative data, DDI-Codebook, ancillary materials, IPUMS working paperAbstract
IPUMS at the University of Minnesota has created the world’s largest accessible database of census and survey microdata. The IPUMS suite contains nine harmonized census and survey microdata and aggregate geographic data products. In addition to archiving these data products, the IPUMS archival staff is also responsible for curating, preserving, and making discoverable three key pieces of qualitative IPUMS data: ancillary census and survey materials acquired primarily by IPUMS International for their data harmonization work; DDI-Codebook metadata and documentation produced during IPUMS data product preservation; and working papers authored by IPUMS staff documenting technical innovation around IPUMS data products. This paper describes the development of IPUMS infrastructure to manage, preserve, annotate, and disseminate its qualitative collection, tightly connecting these materials to the IPUMS quantitative data produced for the purpose of supporting robust social science research. The IPUMS archival staff has developed processes to receive, organize, tag, and distribute a large and diverse body of qualitative data. Attention to the range of processing and research uses of this qualitative collection has been instrumental in identifying useful tags to provide targeted access to support these uses. Operationalizing this work has informed archival organizational knowledge control and efforts to raise awareness of archival work and research possibilities for those who provide qualitative content in all its forms. These efforts support strong social science research and offer a path forward for archivists preserving qualitative data in an organizational setting in which archival curation, preservation, discoverability, and dissemination activities are essential, although often considered secondary to the main product.
References
Block, W., & Thomas, W. (2003). Implementing the Data Documentation Initiative at the Minnesota Population Center. Historical Methods: A Journal of Quantitative and Interdisciplinary History, 32(2). https://doi.org/10.1080/01615440309601219
Magnuson, D. L. (2015). Wendy Thomas interview, University of Minnesota, March 24, 2015.
Magnuson, D. L. (2024a). The IPUMS business process model: Instituting a workflow mapping strategy to support archival processes. IASSIST Quarterly, 48(4). https://doi.org/10.29173/iq1130
Magnuson, D. L. (2024b). Stewarding our resources: Building a sustainable IPUMS archival document system. IASSIST Quarterly, 48(1). https://doi.org/10.29173/iq1095
Magnuson, D. L. (2025). The IPUMS document collection: Progress & prospects [Conference poster]. IASSIST Annual Meeting, Bristol, United Kingdom. https://doi.org/10.5281/zenodo.15473847
Magnuson, D. L., & Ruggles, S. (2022). Challenges of large-scale data processing in the 1990s: The IPUMS experience. IEEE Annals of the History of Computing, 71–83. https://ieeexplore.ieee.org/abstract/document/9972862
Magnuson, D. L., & Thomas, W. L. (2023). Expanding our perspective: Building a sustainable metadata culture. IASSIST Quarterly, 47(2). https://iassistquarterly.com/index.php/iassist/article/view/1046
McCaa, R., & Ruggles, S. (2000). IPUMS-International: A global project to preserve machine-readable census microdata and make them useable. In P. K. Hall, R. McCaa, & G. Thorvaldsen (Eds.), Handbook of international historical microdata for population research (pp. 335–346). https://international.ipums.org/international/microdata_handbook.shtml
Ruggles, S., King, M. L., Levison, D., McCaa, R., & Sobek, M. (2003). IPUMS International. Historical Methods: A Journal of Quantitative and Interdisciplinary History, 32(2). https://doi.org/10.1080/01615440309601215
Ruggles, S., McCaa, R., Levison, D., Gardner, T., & Sobek, M. (1999–2004). International Integrated Microdata Access System (SBR9908380). Methodology, Measurement, and Statistics Program, National Science Foundation.
Ruggles, S., McCaa, R., Sobek, M., & Cleveland, L. (2015). The IPUMS collaboration: Integrating and disseminating the world’s population microdata. Journal of Demographic Economics, 81. https://doi.org/10.1017/dem.2014.6
The Minnesota Daily. (1991, February 7). The Minnesota Daily. University of Minnesota Digital Conservancy. https://hdl.handle.net/11299/246061
Thomas, W. L. (2023). Why Dublin Core. General Information, ISRDI Archive.
University of Minnesota: Office of Information Technology. (2000). Information Technology Newsletter, 5(8). University Digital Conservancy. https://hdl.handle.net/11299/60522
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Diana L. Magnuson

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
This license lets others remix, tweak, and build upon your work non-commercially, and although their new works must also acknowledge you and be non-commercial, they don’t have to license their derivative works on the same terms.
The Creative Commons-Attribution-Noncommercial License 4.0 International applies to all works published by IASSIST Quarterly. Authors will retain copyright of the work. Your contribution will be available at the IASSIST Quarterly website when announced on the IASSIST list server.


