Collaborative Sense-making in Genomic Research: The Role of Visualisation

, , , , , Heinrich, Julian, & O'Donoghue, Sean (2022) Collaborative Sense-making in Genomic Research: The Role of Visualisation. IEEE Transactions on Visualization and Computer Graphics, 28(12), pp. 4477-4489.

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Description

Genomic research emerges from collaborative work within and across different scientific disciplines. A diverse range of visualisation techniques has been employed to aid this research, yet relatively little is known as to how these techniques facilitate collaboration. We conducted a case study of collaborative research within a biomedical institute to learn more about the role visualisation plays in genomic mapping. Interviews were conducted with molecular biologists (N = 5) and bioinformaticians (N = 6). We found that genomic research comprises a variety of distinct disciplines engaged in complex analytic tasks that each resist simplification, and their complexity influences how visualisations were used. Visualisation use was impacted by group-specific interactions and temporal work patterns. Visualisations were also crucial to the scientific workflow, used for both question formation and confirmation of hypotheses, and acted as an anchor for the communication of ideas and discussion. In the latter case, two approaches were taken: providing collaborators with either interactive or static imagery representing a viewpoint. The use of generic software for simplified visualisations, and quick production and curation was also noted. We discuss these findings with reference to group-specific interactions and present recommendations for improving collaborative practices through visual analytics.

Impact and interest:

5 citations in Scopus
3 citations in Web of Science®
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ID Code: 212585
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
Rittenbruch, Markusorcid.org/0000-0001-9279-1599
Vella, Kellieorcid.org/0000-0002-1125-5530
Brereton, Margotorcid.org/0000-0002-0982-3404
Hogan, Jamesorcid.org/0000-0001-7695-3703
Johnson, Danielorcid.org/0000-0003-1088-3460
Additional Information: Acknowledgements: We would like to thank our participants at the Garvan Institute of Medical Research for their contribution. This study was conducted in accordance with Queensland University of Technology Ethics Approval 1500000367 and approved by the Garvan Institute. We acknowledge support from the Australian Research Council under Linkage Project LP140100574.
Measurements or Duration: 13 pages
Additional URLs:
DOI: 10.1109/TVCG.2021.3090746
ISSN: 1077-2626
Pure ID: 94751121
Divisions: Current > Research Centres > Centre for Behavioural Economics, Society & Technology
Current > Research Centres > Centre for Data Science
Current > QUT Faculties and Divisions > Faculty of Business & Law
Current > QUT Faculties and Divisions > Faculty of Science
Current > Schools > School of Computer Science
Current > QUT Faculties and Divisions > Faculty of Creative Industries, Education & Social Justice
Current > Schools > School of Design
Funding:
Copyright Owner: 2021 IEEE
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Deposited On: 17 Aug 2021 03:05
Last Modified: 26 Feb 2025 09:15