Journal articles and preprints
Schikowitz, A., Dessewffy, E., Davies, S., Pham, B-C., Gregory, K., Goldberg, E., Avkiran, A. S., & Mora-Gámez, F. (forthcoming). Writing Choreographies: (STS) Knowledge Production in Post- digital Academia. Tecnoscienza: Italian Journal of Science & Technology Studies, 1.
Koesten, L., Yew, J., & Gregory, K. (forthcoming). Human-Data Interaction: Thinking beyond individual datasets. ACM Interactions. Preprint: https://arxiv.org/abs/2410.15427
Sun, G., Friedrich, T., Gregory, K. and Mathiak, B. (2024) Supporting Data Discovery: Comparing Perspectives of Support Specialists and Researchers. Data Science Journal, 23: 48, pp. 1–17. https://doi.org/10.5334/dsj-2024-048
Gregory, K., Koesten, L., Schuster, R., Möller, T., & Davies, S. (2024). Data journeys in popular science: producing climate change and COVID-19 data visualizations at Scientific American. Harvard Data Science Review, 6(2). https://doi.org/10.1162/99608f92.141c99cf
Pham, B.-C.*, Gregory, K.*, Davies, S.*, Schikowitz, A., Dessewffy, E., Goldberg , E., Ederer, N., Avkıran, A., & Holmer, C. (2024). Academic citizenship, together: Prioritising care and reflexivity in scholarly life. Journal of Praxis in Higher Education, 6(2), 66–79. https://doi.org/10.47989/kpdc478 *Authors contributed equally to this work.
Schuster, R., Koesten, L., Gregory, K., Möller, T. (2024). “Being simple on complex issues” – Accounts on visual data communication about climate change. IEEE Transactions on Visualization and Computer Graphics, https://doi.org/10.1109/TVCG.2024.3352282
Schuster, R., Koesten, L., Möller, T., & Gregory, K. (2024, under review). Who is the audience? Designing casual data visualizations for the ‘general public’. Preprint: https://doi.org/10.48550/arXiv.2310.01935
Ninkov, A. B., Gregory, K., Ripp, C., Poitras, C., Peters, I., & Haustein, S. (2024, under review). Data by experience: A survey investigating differences in data citation practices according to researchers’ career stages. Zenodo. Preprint: https://doi.org/10.5281/zenodo.11099040
Gregory, K., Ninkov, A., Ripp, C., Roblin, E. Peters, I., Haustein, S. (2023). Tracing data: A survey investigating disciplinary differences in data citation. Quantitative Science Studies. https://doi.org/10.1162/qss_a_00264
Koesten, L.*, Gregory, K.*, Schuster, R., Knoll, C., Davies, S., Möller, T. (2023, under review). What is the message? Perspectives on visual data communication. Preprint: https://arxiv.org/abs/2304.10544. *Authors contributed equally to this work.
Sun, G., Friedrich, T., Gregory, K., & Mathiak, B. (2023, under review). Supporting data discovery: A meta-synthesis comparing perspectives of support specialists and researchers. arXiv preprint arXiv:2209.14655. https://doi.org/10.48550/arXiv.2209.14655
*Koesten, L.*, Gregory, K.*, Groth, P., Simperl, E. (2021). Talking datasets: Understanding data sensemaking behaviours. International Journal of Human-Computer Studies, 146. https://doi.org/10.1016/j.ijhcs.2020.102562. *Authors contributed equally to this work.
Gregory, K. (2020). A dataset describing data discovery and reuse practices in research. Scientific Data, 7(1), 1-11. https://doi.org/10.1038/s41597-020-0569-5
Gregory, K., Groth, P. Scharnhorst, A., Wyatt, S. (2020). Lost or found? Discovering data needed for research. Harvard Data Science Review. https://doi.org/10.1162/99608f92.e38165eb
Gregory, K., Cousijn, H., Groth, P., Scharnhorst, A., Wyatt, S. (2019). Understanding data search as a socio-technical practice. Journal of Information Science. https://doi.org/10.1177/0165551519837182
Gregory, K., Groth, P., Cousijn, H., Scharnhorst, A., Wyatt, S. (2019). Searching data: A review of observational data retrieval practices in selected disciplines. Journal of the Association of Information Science and Technology. https://doi.org/10.1002/asi.24165
Gregory K, Khalsa S.J, Michener W.K., Psomopoulos F.E, de Waard A., Wu, M. (2018) Eleven quick tips for finding research data. PLoS Comput Biol 14(4): e1006038. https://doi.org/10.1371/journal.pcbi.1006038
Gregory, K. (2013). Laboratory logistics: Strategies for integrating information literacy instruction into science laboratory classes. Issues in Science & Technology Librarianship, 74. doi:10.5062/F49G5JSJ.
Conference Proceedings
Zhang, P., Gregory, K., Yoon, A., & Palmer, C. (2023). Conceptualizing data behavior: Bridging data-centric and user-centric approaches. Proceedings of the Association for Information Science and Technology, 60:856-860. https://doi.org/10.1002/pra2.878
Knoll, C., Möller, T., Gregory, K., & Koesten, L. (2023, under review). The gulf of interpretation: From chart to message and back again. Preprint: https://doi.org/10.48550/arXiv.2310.05752
Gregory, K., Ninkov, A., Roblin, E., Lawrance, S., Peters, I. & Haustein, S. (2023). Rewarding data sharing and reuse: Initial results of an interview study. 27th International Conference on Science, Technology and Innovation Indicators (STI 2023). https://dapp.orvium.io/deposits/643e56dcb62a3e4bb8142ec2/view
Ninkov, A., Gregory, K., Ripp, C., Roblin, E., Peters, I., Haustein, S. (2023). A survey of researchers on rewarding data citation and reuse. Proceedings of the 19th International Conference of the International Society for Scientometrics and Informetrics. Preprint: https://doi.org/10.5281/zenodo.7823626
Gregory, K.; Ninkov, A., Ripp, C.; Peters, I.; Hausten, S. (2022). Surveying practices of data citation and reuse across disciplines. Proceedings of the 26th International Conference on Science and Technology Indicators, Granada, Spain. https://doi.org/10.5281/zenodo
Ninkov, A., Gregory, K.; Jamboor, M.; Garza, K.; Strecker, D.; Schabinger, R.; Peters, I.; Haustein, S. (2022). Mapping metadata – Improving dataset discipline classification. Proceedings of the 26th International Conference on Science and Technology Indicators, Granada, Spain. https://doi.org/10.5281/zenodo.6948238
Liu, Y.-H., Chen, H.-L., Kato, M.P., Wu, M. and Gregory, K. (2021), Data Discovery and Reuse in Data Service Practices: A Global Perspective. Proceedings of the Association for Information Science and Technology, 58: 610-612. https://doi.org/10.1002/pra2.510
Ninkov, A., Gregory, K.; Peters, I., Haustein, S. (2021). Datasets on DataCite – An initial bibliometric investigation. Proceedings of the 18th International Conference of the International Society for Scientometrics and Informetrics, Leuven, Belgium (virtual). Preprint: https://doi.org/10.5281/zenodo.4730857
Manola, N.; Mutschke, P.; Scherp, G.; Tochterman, K.; Wittenburg, P.; Gregory, K.; Hasselbring, W.; den Heijer, K.; Manghi, P.; Van Uytvanck, D. (2020). Implementing FAIR data infrastructures. Dagstuhl Perspectives Workshop 18472; 1-34. https://drops.dagstuhl.de/opus/volltexte/2020/13237/pdf/DagMan-8-1-1.pdf
Leiß, C. & Gregory, K. (2016). Visibility and Impact of Research: Bibliometric Services for University Management and Researchers. Proceedings of the IATUL Conferences. Paper 3. http://docs.lib.purdue.edu/iatul/2016/plenary/3.
Books and book chapters
Davies, S., Schikowitz, A., Mora-Gámez, F., Goldberg, E., Dessewffy, E., Pham, B. C., Avkiran, A. & Gregory, K. (forthcoming). Revisiting Reflexivity: Liveable Worlds in Research and Beyond. Bristol University Press.
Gregory, K.; Groth, P., Scharnhorst, A., Wyatt, S. (2023) The mysterious user of research data: Knitting together Science and Technology Studies with Information and Computer Science. In Bijsterveld , K. & Swinnen, A. (Eds). Interdisciplinarity in the scholarly life cycle: Learning by example in humanities and social science research. Palgrave. https://doi.org/10.1007/978-3-031-11108-2
Tayler, F., Brunet, Mélanie, Gregory, K., Harper, L., & Haustein, S. (2023). Data management planning for open science workflows. In Thompson, K., Hill, E., Carlisle-Johnston, E., Dennie, D., & Fortin, E. (Eds). Research data management in the Canadian context. Open Library. https://doi.org/10.5206/ZRUV7849
Gregory, K. & Koesten, L. (2022). Human-Centered Data Discovery. In Synthesis Lectures on Information Concepts, Retrieval and Services. Springer. https://doi.org/10.1007/978-3-031-18223-5
Siebes, R.; Coen, G.; Gregory, K.; Scharnhorst, A. (2021). Publishing linked open data. In Smiraglia, R.. & Scharnhorst, A. (Eds). Linking knowledge: Linking open data for knowledge organization and visualization. (1st ed., pp. 218-232). Ergon Verlag. https://doi.org/10.5771/9783956506611-218
Datasets
Ninkov, A., Ripp, C., Gregory, K., Peters, I., & Haustein, S. (2023). A dataset from a survey investigating disciplinary differences in data citation. Zenodo [dataset]. https://doi.org/10.5281/zenodo.7555363
Gregory, K. (2020). Data discovery and reuse practices in research [dataset]. Data Archiving and Networked Services (DANS). https://doi.org/10.17026/dans-xsw-kkeq
Reports & white papers
Gregory, K.; Waltman, L.; Pinfield, S. (2024). Peer review in funding organizations: An analytical literature review (RoRI Working Paper No.11). Research on Research Institute. Preprint. https://doi.org/10.6084/m9.figshare.26861680.v5
Wu, M., Gregory, K., Löffler, F., Mathiak, B., Psomopoulos, F., Schindler, U., et al. (2024). Ten principles to improve dataset discoverability. Research Data Alliance. DOI: 10.15497/RDA00120
Gregory, K. & Koesten, L. (2023). Workshop report: Opening WWTF Research Data.
Mustajoki, H., Pölönen, J., Gregory, K., Ivanović, D., Brasse, V., Kesäniemi, J., Koivisto, E., & Pylvänäinen, E. (2021). Making FAIReR assessments possible. Final report of EOSC Co-Creation projects: “European overview of career merit systems’’ and “Vision for research data in research careers.” https://doi.org/10.5281/zenodo.4701375
Doctoral Dissertation
Gregory, K. (2021). Findable and reusable? Data discovery practices in research. Maastricht University. https://doi.org/10.26481/dis.20210302kg
Opinion and Outreach
Aguiar, O. (2023, April 20). New preprint explores tracing data reuse and citations. Retrieved from: https://www.scholcommlab.ca/2023/04/20/new-preprint-explores-tracing-data-reuse-and-citations/
Garza, K.; Strecker, D.; Ninkov, A., Schabinger, R.; & Gregory, K. (2021, July). DFG to OECD subject classification mapping.. [Blog post]. Retrieved from: https://doi.org/10.5281/zenodo.5176122
Gregory, K. & Ninkov, A. (2021, July). Data citations in context: We need disciplinary metadata to move forward. [Blog post]. Retrieved from: https://makedatacount.org/2021/07/14/data-citations-in-context-we-need-disciplinary-metadata-to-move-forward/
Gregory, K. (2020, July 14). Discovering and reusing data: Putting research into practice [Blog post]. Retrieved from: https://bit.ly/3h0lj0r.
Koesten, L. & Gregory, K. (2020, March 18). Talking datasets [Blog post]. Retrieved from: http://datastories.co.uk/news/talking-datasets.
Gregory, K. (2020). Hoe zoeken gebruikers naar data van andere onderzoekers? E-data & Research, 14(3). https://www.edata.nl/1403/pdf/1403.pdf
Siebes, R., Coen, G., Gregory, K., Scharnhorst, A. (2019). Linked Open Data – 10 Things to reach the realm of LOD. Part of Top 10 FAIR Data and Software Things. http://doi.org/10.5281/zenodo.3471806
Gregory, K. (2013). There is no escape: What Google can teach instruction librarians. Issues in Science & Technology Librarianship, 72. doi:10.5062/F45B00C1
Kathleen Gregory 