当前位置: X-MOL 学术IEEE Comput. Graph. Appl. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Exploring Reproducibility in Visualization
IEEE Computer Graphics and Applications ( IF 1.8 ) Pub Date : 2020-09-01 , DOI: 10.1109/mcg.2020.3006412
Jean-Daniel Fekete 1 , Juliana Freire 2
Affiliation  

The American National Academies of Sciences, Engineering, and Medicine (NASEM) has recently released the report “Reproducibility and Replicability in Science.” The report has prompted discussions within many disciplines about the extent of the current adoption of reproducibility and replicability, the challenges involved in publishing reproducible results as well as strategies for improving. We organized a panel at the IEEE VIS conference 2019 to start a discussion on the reproducibility challenges faced by the visualization community and how those challenges might be addressed. In this viewpoint, we summarize key findings of the NASEM report, the panel discussion, and outline a set of recommendations for the visualization community.

中文翻译:

探索可视化的再现性

美国国家科学院、工程院和医学院(NASEM)最近发布了“科学中的再现性和可复制性”报告。该报告引发了许多学科的讨论,讨论当前采用可重复性和可复制性的程度、发布可重复结果所涉及的挑战以及改进策略。我们在 2019 年 IEEE VIS 会议上组织了一个小组讨论可视化社区面临的可再现性挑战以及如何解决这些挑战。从这个角度来看,我们总结了 NASEM 报告的主要发现、小组讨论,并为可视化社区概述了一组建议。
更新日期:2020-09-01
down
wechat
bug