Open Practices in Visualization Research

被引：0
|
作者：
Haroz, Steve [1 ]
机构：
[1] Sorbonne Univ, Paris, France
来源：
2018 IEEE EVALUATION AND BEYOND - METHODOLOGICAL APPROACHES FOR VISUALIZATION (BELIV) | 2018年
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Two fundamental tenants of scientific research are that it can be scrutinized and built-upon. Both require that the collected data and supporting materials be shared, so others can examine, reuse, and extend them. Assessing the accessibility of these components and the paper itself can serve as a proxy for the reliability, replicability, and applicability of a field's research. In this paper, I describe the current state of openness in visualization research and provide suggestions for authors, reviewers, and editors to improve open practices in the field. A free copy of this paper, the collected data, and the source code are available at https://osf.io/qf9na/
引用
收藏
页码：46 / 52
页数：7
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