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Updated: Nov 17, 2025

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
Published on: April 11, 2016
Actionable data for precision oncology: Framing trustworthy evidence for exploratory research and clinical
Niccolò Tempini1, Sabina Leonelli2
1Egenis, Department of Sociology, Philosophy and Anthropology, University of Exeter, Byrne House, St Germans Road, EX4 6TJ, Exeter, UK; Institute for Data Science and Artificial Intelligence, University of Exeter, UK; Alan Turing Institute, London, UK.
Abstract:
Huge amounts of genomic data produced by researchers around the world undermine data-centred discovery and therapeutic development. This paper considers how researchers make decisions about the actionability of specific datasets and the conditions that allow such data to be trusted. We discuss the case of COSMIC, a leading cancer genomics database which aggregates a large amount of sources. We research what the actionability of cancer data means in different situations of use, contrasting exploratory and diagnostics research. They highlight different questions and concerns upon genomic data use in medical research. At the same time, strategies and justifications pursued to evaluate and re-use can also share important similarities. To explain differences and similarities, we argue for an understanding of actionability and trust in data that depends on the goals and resources within the situation of inquiry, and the social epistemology of standards.
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