Anderson Nicholas R, Ash Joan S, Tarczy-Hornoch Peter
Department of Biomedical and Health Informatics, University of Washington, P.O. Box 357240, Seattle, WA 98195-7240, United States.
Int J Med Inform. 2007 Nov-Dec;76(11-12):821-8. doi: 10.1016/j.ijmedinf.2006.09.022. Epub 2006 Nov 3.
To explore how the implementation of a comprehensive new bioinformatics analysis system would affect workflow, collaboration and information management in a small genetic research lab.
This was a longitudinal qualitative study of seven individuals involved in genomic and proteomic research. The study data were gathered using the illuminative/responsive approach of immersion in the environment. Additional qualitative data were gathered using informal semi-structured interviews, participant observation in lab meetings, and direct observation of lab researchers engaged in specific tasks.
Interview, observation and field note data were coded and analyzed based on three analysis perspectives. A subset of the data was independently evaluated by an external researcher to enhance the trustworthiness of results.
Three reoccurring themes were observed in the study. (1) Satisfaction and acceptance of software tools tended to be role and goal specific. (2) The system was seen primarily as a measurement system rather than a "total laboratory analysis system". (3) Lab meetings deemphasized the system, preferring more traditional data analysis techniques. These themes support the observations that the system was not used to its full potential in the lab.
Themes identified in this study suggest that sophisticated genetic researchers face similar problems of technology implementation as do professionals in other fields. We recommend that leadership support and on-going training and evolution of academic curricula can improve chances of bioinformatics analysis systems becoming used more effectively.
探讨实施一个全面的新生物信息学分析系统将如何影响一个小型基因研究实验室的工作流程、协作和信息管理。
这是一项对7名参与基因组和蛋白质组研究的人员进行的纵向定性研究。研究数据采用沉浸式环境的启发式/响应式方法收集。额外的定性数据通过非正式的半结构化访谈、实验室会议中的参与观察以及对从事特定任务的实验室研究人员的直接观察来收集。
访谈、观察和实地记录数据基于三个分析视角进行编码和分析。部分数据由外部研究人员独立评估,以提高结果的可信度。
研究中观察到三个反复出现的主题。(1)对软件工具的满意度和接受度往往因角色和目标而异。(2)该系统主要被视为一个测量系统,而非“全实验室分析系统”。(3)实验室会议淡化了该系统,更倾向于使用更传统的数据分析技术。这些主题支持了该系统在实验室中未得到充分利用的观察结果。
本研究中确定的主题表明,经验丰富的基因研究人员面临着与其他领域专业人员类似的技术实施问题。我们建议领导支持以及学术课程的持续培训和改进能够提高生物信息学分析系统更有效使用的可能性。