使用客户旅程映射和设计思维来理解图书馆在支持研究数据生命周期中的作用

K. Bjornen, Cinthya Ippoliti
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引用次数: 1

摘要

目的:客户旅程映射和设计思维被认为是一种有用的工具,可以通过他们的直接输入,更深入地了解我们校园研究人员的研究数据服务需求。在本文中,我们将讨论改进流程的方法,以便在项目生命周期的早期和更细粒度的级别上识别数据需求。方法:采用顾客旅程图和设计思维,直接从研究人员那里获取他们的研究过程和数据管理需求。然后,从映射模板和后续访谈中得到的反馈被用来确定要用设计思维探索的主题。最后,在开放科学框架中创建了一个工具包,以指导希望采用这些技术的其他图书馆。结果:客户旅程映射和设计思维会议的结果确定了数据存储、组织和共享领域的需求。我们还确定了项目管理的经验教训。第一个教训是确保参与的研究人员充分代表校园数据需求的范围。另一个原因是,如果实时收集反馈,并允许研究人员在绘制过程中具有更大的灵活性,那么绘制客户旅程地图将更加有效。结论:对客户旅程地图和设计思维技术的改进将提供实时响应,并更深入地了解我们校园研究人员的研究数据服务需求。我们的试点发现了一些重要的差距,但我们觉得通过对我们的流程进行更改,可能会产生更微妙和有用的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Customer Journey Mapping and Design Thinking to Understand the Library’s Role in Supporting the Research Data Lifecycle
Objective: Customer journey mapping and design thinking were identified as useful tools for identifying deeper insights into the research data service needs of researchers on our campus with their direct input. In this article we discuss ways to improve the process in order to identify data needs earlier in the project life and at a more granular level. Methods: Customer journey mapping and design thinking were employed to get direct input from researchers about their research processes and data management needs. Responses from mapping templates and follow-up interviews were then used to identify themes to be explored using design thinking. Finally, a toolkit was created in Open Science Framework to guide other libraries who wish to employ these techniques Results: Outcomes from the customer journey mapping and design thinking sessions identified needs in the areas of data storage, organization and sharing. We also identified project-management lessons learned. The first lesson was to ensure the researchers who participate adequately represent the range of data needs on campus. Another was that customer journey mapping would be more effective if the responses were collected in real time and researchers were allowed more flexibility in the mapping process. Conclusions: Modifications to the customer journey mapping and design thinking techniques will provide real-time responses and deeper insights into the research data service needs of researchers on our campus. Our pilot identified some important gaps but we felt that more subtle and useful outcomes were possible by making changes to our process.
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