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Data collection methods for task-based information access in molecular medicine

Kumpulainen, Sanna and Järvelin, Kalervo and Serola, Sami and Doherty, Aiden R. and Smeaton, Alan F. and Byrne, Daragh and Jones, Gareth J.F. (2009) Data collection methods for task-based information access in molecular medicine. In: International Workshop on Mobilizing Health Information to Support Healthcare-related Knowledge Work, 16 January 2009, Porto, Portugal.

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An important area of improving access to health information is the study of task-based information access in the health domain. This is a significant challenge towards developing focused information retrieval (IR) systems. Due to the complexities of this context, its study requires multiple and often tedious means of data collection, which yields a lot of data for analysis, but also allows triangulation so as to increase the reliability of the findings. In addition to traditional means of data collection, such as questionnaires, interviews and observation, there are novel opportunities provided by lifelogging technologies such as the SenseCam. Together they yield an understanding of information needs, the sources used, and their access strategies. The present paper examines the strengths and weaknesses of the traditional and the more novel means of data collection and addresses the challenges in their application in molecular medicine, which intensively uses digital information sources.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Subjects:Computer Science > Lifelog
Computer Science > Information technology
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Official URL:
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, Irish Research Council for Science Engineering and Technology, Academy of Finland
ID Code:2382
Deposited On:16 Feb 2009 09:57 by Dr Aiden Doherty. Last Modified 13 Jan 2017 11:28

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