Transparency of CHI Research Artifacts: Results of a Self-Reported Survey

CHI '20: CHI Conference on Human Factors in Computing Systems Honolulu HI USA April, 2020(2020)

引用 58|浏览450
暂无评分
摘要
Several fields of science are experiencing a "replication crisis" that has negatively impacted their credibility. Assessing the validity of a contribution via replicability of its experimental evidence and reproducibility of its analyses requires access to relevant study materials, data, and code. Failing to share them limits the ability to scrutinize or build-upon the research, ultimately hindering scientific progress. Understanding how the diverse research artifacts in HCI impact sharing can help produce informed recommendations for individual researchers and policy-makers in HCI. Therefore, we surveyed authors of CHI 2018-2019 papers, asking if they share their papers' research materials and data, how they share them, and why they do not. The results (34% response rate) show that sharing is uncommon, partly due to misunderstandings about the purpose of sharing and reliable hosting. We conclude with recommendations for fostering open research practices. This paper and all data and materials are freely available at https://osf.io/3bu6t.
更多
查看译文
关键词
Open Science, public data sharing, open data, data availability
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要