Stefanie Haustein portrait
Stefanie Haustein

Dr. Stefanie Haustein is full professor at the School of Information Studies at the University of Ottawa and co-director of the ScholCommLab. She is also an affiliated researcher with several interdisciplinary research centers, including the Institute for Science, Society and Policy (ISSP), and the Centre for Journalology at the University of Ottawa, as well as the Centre interuniversitaire de recherche sur la science et la technologie at Université du Québec à Montréal.

Her research focuses on scholarly communication, research evaluation, and open science, with an emphasis on open access and the academic publishing market, as well as research data sharing and reuse. Using bibliometric and mixed methods, such as large-scale surveys and interviews, her work critically examines academic publishing, scholarly metrics, and responsible research assessment, and open science practices.

Stefanie holds a Master’s degree in history, American linguistics and literature, and information science, and a PhD in information science from Heinrich Heine University Düsseldorf, Germany. Stefanie has previously worked as a postdoctoral researcher at École de bibliothéconomie et des sciences de l’information, Université de Montréal and as a research analyst at Science-Metrix, Canada as well as Forschungszentrum Jülich, Germany.

As a first-generation academic who pursued her degrees in Germany before immigrating to Canada for postdoctoral studies, Stefanie is committed to fostering an inclusive and supportive academic environment. She actively mentors students from diverse backgrounds, particularly first-generation academics and women.

Since co-founding the ScholCommLab with Juan Pablo Alperin in 2017, she has worked to build an interdisciplinary, international, and diverse research community that prioritizes collaboration, equity, and open science.

A selection of her recent publications is listed below, with a full record available in her CV. She can be found on LinkedIn and, less often, on Bluesky.

Select Research Outputs

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Walsum, S. van, Matthias, L., Alperin, J. P., & Haustein, S. (2026). When Editors Revolt: Characterizing Journal Declarations of Independence. Conference Proceedings of the 30th Annual International Conference on Science and Technology Indicators, 447–463. https://doi.org/10.5281/zenodo.22656318
Boudreau Ninkov, A., Gregory, K., Ripp, C., Poitras, C., Peters, I., & Haustein, S. (2026). Data by experience: A survey investigating differences in data citation practices according to researchers’ career stages. Quantitative Science Studies. https://doi.org/https://doi.org/10.1162/QSS.a.483
Beigel, F., Brockington, D., Crosetto, P., Derrick, G., Fyfe, A., Barreiro, P. G., Hanson, M. A., Haustein, S., Larivière, V., Noe, C., Pinfield, S., & Wilsdon, J. (2025). The Drain of Scientific Publishing (arXiv:2511.04820). arXiv. https://doi.org/10.48550/arXiv.2511.04820
Haustein, S., Schares, E., Alperin, J. P., Hare, M., Butler, L.-A., & Schönfelder, N. (2024). Estimating global article processing charges paid to six publishers for open access between 2019 and 2023 (arXiv:2407.16551). arXiv. https://doi.org/10.48550/arXiv.2407.16551
Butler, L.-A., Hare, M., Schönfelder, N., Schares, E., Alperin, J. P., & Haustein, S. (2024). An open dataset of article processing charges from six large scholarly publishers (2019-2023) (arXiv:2406.08356). arXiv. https://doi.org/https://doi.org/10.48550/arXiv.2406.08356
Butler, L.-A., Hare, M., Schönfelder, N., Schares, E., Alperin, J. P., & Haustein, S. (2024). Open dataset of annual Article Processing Charges (APCs) of gold and hybrid journals published by Elsevier, Frontiers, MDPI, PLOS, Springer-Nature and Wiley 2019-2023 [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/CR1MMV
Hare, M., Haustein, S., & Butler, L.-A. (2024). Call for papers: Current issues in scholarly publishing. The Canadian Journal of Information and Library Science, 47(1), 1–2. https://doi.org/10.5206/cjils-rcsib.v47i1.18648
Alperin, J. P., Portenoy, J., Demes, K., Larivière, V., & Haustein, S. (2024). An analysis of the suitability of OpenAlex for bibliometric analyses (arXiv:2404.17663). arXiv. http://arxiv.org/abs/2404.17663
Simard, M.-A., Butler, L.-A., Alperin, J. P., & Haustein, S. (2024). We need to rethink the way we identify diamond open access journals in quantitative science studies. SciELO Preprints. https://doi.org/10.1590/SciELOPreprints.8272
Butler, L.-A., Matthias, L., Simard, M.-A., Mongeon, P., & Haustein, S. (2023). The Oligopoly’s Shift to Open Access. How the Big Five Academic Publishers Profit from Article Processing Charges. Quantitative Science Studies, 1–33. https://doi.org/10.1162/qss_a_00272
Tayler, F., Brunet, M., Gregory, K., Harper, L., & Haustein, S. (2023). Data Management Planning for Open Science Workflows. In Research Data Management in the Canadian Context. Western University, Western Libraries. https://doi.org/https://doi.org/10.5206/TAMA6130
Alperin, J. P., Fleerackers, A., Riedlinger, M., & Haustein, S. (2023). Second-order citations in altmetrics: a case study analyzing the audiences of COVID-19 research in the news and on social media. bioRxiv. https://doi.org/10.1101/2023.04.05.535734
Cobey, K. D., Haustein, S., Brehaut, J., Dirnagl, U., Franzen, D. L., Hemkens, L. G., Presseau, J., Riedel, N., Strech, D., Alperin, J. P., Costas, R., Sena, E. S., van Leeuwen, T., Ardern, C. L., Bacellar, I. O. L., Camack, N., Britto Correa, M., Buccione, R., Cenci, M. S., … Moher, D. (2023). Community consensus on core open science practices to monitor in biomedicine. PLOS Biology, 21(1), e3001949. https://doi.org/10.1371/journal.pbio.3001949
Gregory, K., Ninkov, A. B., Ripp, C., Roblin, E., Peters, I., & Haustein, S. (2023). Tracing data: A survey investigating disciplinary differences in data citation. Zenodo. https://doi.org/10.5281/ZENODO.7555266
Ninkov, A. B., Ripp, C., Gregory, K., Peters, I., & Haustein, S. (2023). A dataset from a survey investigating disciplinary differences in data citation (Version v1) [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.7555363
Ninkov, A. B., Gregory, K., Jambor, M., Garza, K., Strecker, Schabinger, R., Peters, I., & Haustein, S. (2022, September 7). Mapping metadata - improving dataset discipline classification. Proceedings of the 26th International Conference on Science and Technology Indicators. International Conference on Science and Technology Indicators. https://doi.org/10.5281/ZENODO.6948238
Haustein, S., Cobey, K., Neylon, C., Riedel, N., Franzen, D., Alperin, J. P., Dirnagl, U., & Moher, D. (2022, September 7). User-centred design in indicator development: Involving the biomedical community in building an open science dashboard. Proceedings of the 26th International Conference on Science and Technology Indicators. International Conference on Science and Technology Indicators. https://doi.org/10.5281/ZENODO.6948166
Cobey, K. D., Haustein, S., Brehaut, J., Dirnagl, U., Franzen, D. L., Hemkens, L. G., Presseau, J., Riedel, N., Strech, D., Alperin, J. P., Costas, R., Sena, E. S., van Leeuwen, T., Ardern, C. L., Bacellar, I. O. L., Camack, N., Correa, M. B., Buccione, R., Cenci, M. S., … Moher, D. (2022). Establishing a core set of open science practices in biomedicine: a modified Delphi study [Preprint]. Health Policy. https://doi.org/10.1101/2022.06.27.22276964
Maggio, L. A., Jeffrey, A., Haustein, S., & Samuel, A. (2022). Becoming metrics literate: An analysis of brief videos that teach about the h-index. PLOS ONE, 17(5), e0268110. https://doi.org/10.1371/journal.pone.0268110
Jeffrey, A., Maggio, L. A., Haustein, S., & Samuel, A. (2022, January 21). Qualitative coding of brief videos that teach about the h-index. Zenodo. https://doi.org/10.5281/zenodo.5885191
Maggio, L. A., Haustein, S., Costello, J. A., Driessen, E. W., & Artino Jr, A. R. (2022). Joining the meta-research movement: A bibliometric case study of the journal Perspectives on Medical Education. Perspectives on Medical Education, 11(3), 127–136. https://doi.org/10.1007/s40037-022-00717-9
Gregory, K., Ninkov, A., Ripp, C., Peters, I., & Haustein, S. (2022). Surveying practices of data citation and reuse across disciplines. Proceedings of the 26th International Conference on Science and Technology Indicators. International Conference on Science and Technology Indicators. https://doi.org/10.5281/ZENODO.6951437
Dorsch, I., Jeffrey, A., Ebrahimzadeh, S., Maggio, L. A., & Haustein, S. (2021). Metrics Literacies: On the State of the Art of Multimedia Scholarly Metrics Education. Proceedings of the 18th International Conference on Scientometrics and Informetrics, 1465–1466. https://doi.org/https://doi.org/10.5281/ZENODO.5101306
Ninkov, A., Gregory, K., Peters, I., & Haustein, S. (2021, April 30). Datasets on Datacite - an initial bibliometric investigation. International Conference on Scientometrics & Informatics (ISSI 2021). https://doi.org/https://doi.org/10.5281/ZENODO.4730857
Jeffrey, A., Dorsch, I., Ebrahimzadeh, S., & Haustein, S. (2021, January 27). Metrics Literacies: Improving understanding and use of scholarly metrics in academia. Ontario Library Association Super Conference.
Maggio, L. A., Haustein, S., & Jr, A. R. A. (2020). Perspectives on Medical Education Meta-Research Special Issue: A call for papers exploring how research is performed, communicated, verified and rewarded. Perspectives on Medical Education, 10(1). https://doi.org/10.1007/S40037-020-00627-8
Enkhbayar, A., Haustein, S., Barata, G., & Alperin, J. P. (2020). How much research shared on Facebook happens outside of public pages and groups? A comparison of public and private online activity around PLOS ONE papers. Quantitative Science Studies, 1(2), 749–770. https://doi.org/https://doi.org/10.1162/qss_a_00044
Haustein, S. (2020, January 27). Metrics Literacies research project mapped to Knowledge two Action (K2A) framework. https://doi.org/10.5281/zenodo.4029695
Dorsch, I., Ebrahimzadeh, S., Jeffrey, A., & Haustein, S. (2020). Metrics Literacies: Introduction of researcher personas for the understanding and use of scholarly metrics (version v1). Zenodo. http://doi.org/10.5281/zenodo.4046019
Haustein, S. (2019). Scholarly Twitter metrics. In W. Glänzel, H. F. Moed, U. Schmoch, & M. Thelwall (Eds.), Springer Handbook of Science and Technology Indicators (pp. 729–760). Springer International Publishing. https://doi.org/10.1007/978-3-030-02511-3_28
Alperin, J. P., Gomez, C. J., & Haustein, S. (2019). Identifying diffusion patterns of research articles on Twitter: A case study of online engagement with open access articles. Public Understanding of Science, 28(1), 2–18. https://doi.org/10.1177/0963662518761733
Siler, K., Haustein, S., Smith, E., Larivière, V., & Alperin, J. P. (2018). Authorial and institutional stratification in open access publishing: the case of global health research. PeerJ, 6, e4269. https://doi.org/10.7717/peerj.4269
Piwowar, H., Priem, J., Larivière, V., Alperin, J. P., Matthias, L., Norlander, B., Farley, A., West, J., & Haustein, S. (2018). The state of OA: a large-scale analysis of the prevalence and impact of Open Access articles. PeerJ, 6, e4375. https://doi.org/10.7717/peerj.4375
Zahedi, Z., & Haustein, S. (2018). On the relationships between bibliographic characteristics of scientific documents and citation and Mendeley readership counts: A large-scale analysis of Web of Science publications. Journal of Informetrics, 12(1), 191–202. https://doi.org/10.1016/j.joi.2017.12.005
Shu, F., Mongeon, P., Haustein, S., Siler, K., Alperin, J. P., & Larivière, V. (2018). Is it such a big deal? On the cost of journal use in the digital era. College & Research Libraries, 79(6), 785–798. https://doi.org/10.5860/crl.79.6.785
Toupin, R., & Haustein, S. (2018). A climate of sharing: Who are the users engaging with climate research on Twitter? Altmetrics18 Workshop, 5th Altmetrics Conference. https://figshare.com/articles/Altmetrics18_Toupin_Haustein/7166393
Alperin, J. P., Hanson, E. W., Shores, K., & Haustein, S. (2017). Twitter bot surveys: a discrete choice experiment to increase response rates. Proceedings of the 8th International Conference on Social Media & Society, #SMSociety17, 1–4. https://doi.org/10.1145/3097286.3097313