I am an associate professor at the University of Ottawa’s School of Information Studies, where I teach research methods and evaluation, knowledge organization, information visualization, social network analysis and information literacy. My research focuses on scholarly communication, bibliometrics, open science and altmetrics. I am currently working on the Meaningful Data Counts project, which analyzes how research data is reused and cited, and metrics literacies, an integrated set of competencies, dispositions and knowledge that empowers individuals to recognize, interpret, critically assess and effectively and ethically use scholarly metrics.
I co-direct the ScholCommLab, a research group based in Ottawa and Vancouver that analyzes all aspects of scholarly communication in the digital age.
I am also an associate member of the Centre interuniversitaire de recherche sur la science et la technologie (CIRST) and an affiliated researcher at the Observatoire des sciences et des technologies (OST), Université du Québec à Montréal, the Institute for Science, Society and Policy (ISSP), University of Ottawa, and the Centre for Journalology, Ottawa Hospital Research Institute (OHRI).
I hold 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 and completed postdoctoral work at École de bibliométrie et des sciences de l’information (EBSI) at Université de Montréal. I have worked as a research analyst at Science-Metrix, Canada and Forschungszentrum Jülich, Germany.
Haustein, S. (in press). Scholarly Twitter metrics. In W. Glänzel, H. Moed, U. Schmoch, & M. Thelwall (Eds.), Handbook of Quantitative Science and Technology Research. Springer.
Alperin, J.P., Gomez, C.J., & Haustein, S. (2018). Identifying diffusion patterns of research articles on Twitter: A case study of online engagement with open access articles. Public Understanding of Science, 1-17.
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.
Sugimoto, C. R., Work, S., Larivière, V., & Haustein, S. (2017). Scholarly use of social media and altmetrics: A review of the literature. Journal of the Association for Information Science and Technology, 68(9), 2037-2062.
Haustein, S., (2016). Grand challenges in altmetrics: heterogeneity, data quality and dependencies. Scientometrics, 108(1), 413-423.
Haustein, S., Bowman, T. D., & Costas, R. (2016). Interpreting “altmetrics”: viewing acts on social media through the lens of citation and social theories. In C. R. Sugimoto (Ed.), Theories of Informetrics and Scholarly Communication (pp. 372-405). Berlin: De Grutyer Mouton.
Larivière, V., Haustein, S., & Mongeon, P. (2015). The oligopoly of academic publishers in the digital era. PLoS ONE, 10(6), e0127502.
Haustein, S., Bowman, T. D., Holmberg, K., Tsou, A., Sugimoto, C. R., & Larivière, V. (2015). Tweets as impact indicators: Examining the implications of automated bot accounts on Twitter. Journal of the Association for Information Science and Technology, 67(1), 232-238.
Haustein, S., Peters, I., Sugimoto, C. R., Thelwall, M., & Larivière, V. (2014). Tweeting biomedicine: an analysis of tweets and citations in the biomedical literature. Journal of the Association for Information Science and Technology, 65(4), 656–669.