arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2007.14443cs.CYcond-mat.mtrl-sci
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以用户为中心的实验室数据平台设计

A user-centered approach to designing an experimental laboratory data platform

Ha-Kyung Kwon, Chirranjeevi Balaji Gopal, Jared Kirschner, Santiago Caicedo, Brian D. Storey

摘要:

虽然自动化实验和高通量方法在数据时代变得越来越主流,但使个体研究人员能够更快,更可重复地捕获,整理和情境化他们的数据仍然是科学中的一个挑战。尽管有丰富的软件产品来帮助收集和组织科学信息,但由于缺乏对研究人员及其实验过程的不同需求的全面了解,科学界对其更广泛的采用受到了阻碍。在这项工作中,我们采取以用户为中心的方法来了解设计和功能研究人员(化学和材料科学)希望在实验数据平台中解决实验过程中的数据捕获问题的基本要素。我们发现,能够将丰富、复杂的实验数据集置于上下文环境中是用户的主要需求。我们综合这一点和其他关键的发现,设计标准的一个潜在的解决方案。

英文摘要:

While automated experiments and high-throughput methods are becoming more mainstream in the age of data, empowering individual researchers to capture, collate, and contextualize their data faster and more reproducibly still remains a challenge in science. Despite the abundance of software products to help digitize and organize scientific information, their broader adoption in the scientific community has been hindered by the lack of a holistic understanding of the diverse needs of researchers and their experimental processes. In this work, we take a user-centered approach to understand what essential elements of design and functionality researchers (in chemical and materials science) want in an experimental data platform to address the problem of data capture in their experimental processes. We found that having the capability to contextualize rich, complex experimental datasets is the primary user requirement. We synthesize this and other key findings into design criteria for a potential solution.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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