Affordances of Open Science Infrastructures
Abstract:
Data sharing is central to contemporary science. As support for data sharing, visiting, and re-use has grown, a range of new forms of research infrastructure has emerged, from university depositories to public and private data- and knowledge bases. This project will critically examine this landscape, exploring what kinds of data sharing and re-use practices are afforded by different models for open science. It will lay the groundwork for novel approaches to documenting data as a process to cater to the diversity of inter- and cross-disciplinary data needs.
Merging computer science and qualitative and quantitative social science methods, it will (1) explore the conceptual data models that underpin different infrastructures and how this affects data discovery, use and interpretation; (2) examine the logics and practices of different infrastructures and how these relate to imaginations of data sharing; (3) work to make recommendations regarding best practice in developing research infrastructures that aid open science.
Supervisory Team:
Sarah Davies – Department of Science and Technology Studies, University of Vienna
Laura Koesten – Faculty of Computer Science, University of Vienna
Andreas Rauber – Faculty of Informatics, TU Wien