Actionable data for precision oncology

Framing trustworthy evidence for exploratory research and clinical diagnostics

Datos Bibliográficos

ID4772913
AutoresNiccolò Tempini (0000-0002-5100-5376, The Alan Turing Institute, autor de correspondencia), Sabina Leonelli (0000-0002-7815-6609, The University of Adelaide)
Año2021
Volumen272
Páginas113760
Fecha de publicación2021-03-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaSocial Science & Medicine (JOURNAL)
Identificadores de la revistaISSN: 0277-9536 • E-ISSN: 1873-5347
EditorialElsevier BV (PUBLISHER)
DOI10.1016/j.socscimed.2021.113760
PMID33601250
OpenAlexW3129298565
IdiomaEN
Citas recibidas14
Referencias citadas36

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

Big data · Biobank · Bioinformatics · Biology · Data mining · Data science · Engineering ethics · Exploratory research · Framing (construction · Internet privacy · Social science · Sociology · Trustworthiness · Cancer Genomics and Diagnostics · Computer Science · Ethics in Clinical Research · Genomics and Rare Diseases · Psychology