Big data collaborative networks: The role of communication in the development of genomic technologies
Genomics scientists produce massive amounts of DNA data quickly and at a far lower cost than ever before. It takes much longer, though, to analyze these big data sets and even longer to figure out how to apply them. Leveraging these data in an organization requires collaboration and conversation with multiple stakeholders, particularly between data scientists and subject matter experts. Misunderstandings and miscommunication between these two groups can undermine potentially useful big data innovation and application.
Given the importance of these communications, not enough is known about the socio-cultural aspects of big data technology development and application, particularly the collaborative networks needed.
Dr. Peter A. Chow-White of Simon Fraser University is leading a study that will use the Personalized Onco-Genomics (POG) initiative at the BC Cancer Research Centre and Genome Sciences Centre in Vancouver to explore the relationship between data innovation, technology development and social change, as well as the mechanisms for communication among stakeholders. By observing and describing the role of communication and the aims and goals of a range of stakeholders, the study will lead to greater understanding of the complexity of collaborative networks and stakeholder interactions, inform understanding of the changing nature of data technologies and decision making and create a robust model of big data/genomics development and adoption in a variety of contexts. Findings from the study will be fed back into the POG.