Data Studies and Knowledge Processing
Strand leader: Sabina Leonelli
This research theme is concerned with the functioning and implications of research processes and practices within the biological and biomedical sciences. Of particular interest are the ways data, models, hardware, and software are used and circulated, the division of labour and credit systems in science, the changing role and modes of publishing, and the ways in which knowledge processing and related environments are managed, evaluated, and compared across geographical and disciplinary locations.
Work by Sabina Leonelli and Brian Rappert is particularly concerned with the Open Science and Open Data movements, the ways in which ‘Big Data’ discourse and methods are implemented across the globe, and the implications for the contents and outputs of research (i.e., the epistemology of data science), as well as the relation with broader social, political and economic trends (particularly the digital divide and implementation of Open Science strategies in low-income countries). Staffan Müller-Wille researches how new ways of naming and classifying shaped the flow of data and perceptions of diversity in the life- and human sciences since the 18th century, with a focus on the emergence of systematics and biogeography around 1800 and the rise of plant science between the field and the lab around 1900. Niccolò Tempini works with Sabina Leonelli on the development of data infrastructures and related software, integration strategies and information security measures.
More information on the data-related activities in this group is available on the Data Studies website.