Software and Data Citation

被引:1
作者
Katz, Daniel S. [1 ]
Hong, Neil P. Chue [2 ,3 ]
Clark, Tim [4 ]
Fenner, Martin [5 ]
Martone, Maryann E. [6 ]
机构
[1] Univ Illinois, Comp Sci Elect & Comp Engn & Informat Sci, Champaign, IL 61820 USA
[2] Univ Edinburgh, Software Sustainabil Inst, Edinburgh, Midlothian, Scotland
[3] Univ Edinburgh, Edinburgh Parallel Comp Ctr, Edinburgh, Midlothian, Scotland
[4] Univ Virginia, Charlottesville, VA 22903 USA
[5] DataCite, Hannover, Germany
[6] Univ Calif San Diego, La Jolla, CA 92093 USA
基金
英国工程与自然科学研究理事会;
关键词
Special issues and sections; Citation analysis; Data analysis; Publishing; Scholarship; Software tools;
D O I
10.1109/MCSE.2020.2969730
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This special issue is intended to inform the scientific computing community about recent advances and the current state of the art in software and data citation. Initial work has been done elsewhere to define standards and principles for software and data citation, and the basic required infrastructure is now in place. The challenge now is to adopt these practices. As their uptake increases, we believe that our professional culture will increasingly encourage production and sharing of software and data, leading to better and more reproducible and reusable results. The articles in this special issue discuss how software, data, and related digital objects are cited and otherwise mentioned in publications today, how to best cite them to make them accessible in the future, and what we can learn from the citations.
引用
收藏
页码:4 / 7
页数:4
相关论文
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