可再现科学的交互式工具--理解、支持和激励可再现科学实践
Interactive Tools for Reproducible Science -- Understanding, Supporting, and Motivating Reproducible Science Practices
摘要：
可复制性应该是科学的基石，因为它使验证和重用成为可能。近年来，科学界和公众越来越意识到可复制性危机，即研究人员普遍无法复制已发表的工作，包括他们自己的工作。科学研究越来越多地集中在创建，观察，处理和分析大量数据。一方面，这种向计算和数据密集型科学的转变对研究的可重复性和重复使用提出了新的挑战。另一方面，计算和网络技术的可用性增加和进步为解决再现性危机提供了新的机会。本论文报告了在数据密集型粒子物理学重点实验室CERN进行的以用户为中心的设计研究。在这篇论文中，我们建立了一个更广泛的理解研究人员的互动工具，支持研究文档，保存和共享。从人机交互（HCI）的角度来看，以下几个方面是基本的：（1）表征和映射的研究，保存和再利用的要求和做法。(2)了解研究数据管理（RDM）工具在科学工作流程中的更广泛作用和影响。(3)设计工具和互动，促进，激励和承认可重复的研究实践。本论文的研究报告代表了人机交互方法在可再现科学交互工具的研究和设计中的首次系统应用。我们提倡HCI在支持，激励和通过设计工具，使有效的RDM转换可重复的研究实践的独特作用。这篇论文为与RDM工具的交互铺平了新的道路，这些工具支持和激励了可再现的科学。
英文摘要：
Reproducibility should be a cornerstone of science as it enables validation and reuse. In recent years, the scientific community and the general public became increasingly aware of the reproducibility crisis, i.e. the wide-spread inability of researchers to reproduce published work, including their own. Scientific research is increasingly focused on the creation, observation, processing, and analysis of large data volumes. On the one hand, this transition towards computational and data-intensive science poses new challenges for research reproducibility and reuse. On the other hand, increased availability and advances in computation and web technologies offer new opportunities to address the reproducibility crisis. This thesis reports on user-centered design research conducted at CERN, a key laboratory in data-intensive particle physics. In this thesis, we build a wider understanding of researchers' interactions with tools that support research documentation, preservation, and sharing. From a Human-Computer Interaction (HCI) perspective the following aspects are fundamental: (1) Characterize and map requirements and practices around research preservation and reuse. (2) Understand the wider role and impact of research data management (RDM) tools in scientific workflows. (3) Design tools and interactions that promote, motivate, and acknowledge reproducible research practices. Research reported in this thesis represents the first systematic application of HCI methods in the study and design of interactive tools for reproducible science. We advocate the unique role of HCI in supporting, motivating, and transforming reproducible research practices through the design of tools that enable effective RDM. This thesis paves new ways for interaction with RDM tools that support and motivate reproducible science.
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。
