Stefanie Haustein - Scholarly Communications Lab

Dr. Stefanie Haustein is a co-director of the ScholCommLab as well as an associate professor at the School of Information Studies at the University of Ottawa. Her research focuses on scholarly communication and research evaluation, bibliometrics, altmetrics, open access, and open science.

Stefanie is an affiliated researcher at the Centre interuniversitaire de recherche sur la science et la technologie (CIRST) at Université du Québec à Montréal, the Institute for Science, Society and Policy (ISSP) at University of Ottawa and the Centre for Journalology at the Ottawa Hospital Research Institute.

She 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 bibliometric analyst at Science-Metrix, Canada as well as Forschungszentrum Jülich, Germany.

A select number of her recent outputs are listed below, a full list can be found in her CV. Stefanie tweets as @stefhaustein.

Select Research Outputs

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 (No. 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) (No. 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. 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 (No. 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

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

Gregory, K., Ninkov, A. B., Ripp, C., Roblin, E., Peters, I., & Haustein, S. (2023). Tracing data: A survey investigating disciplinary differences in data citation. https://doi.org/10.5281/ZENODO.7555266

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, Granada, Spain. 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, Granada, Spain. 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). 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, Granada, Spain. 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), Leuven, Belgium. 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, online.

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. 10(1), 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). 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

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

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

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, London, UK. 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, 1–4. https://doi.org/10.1145/3097286.3097313