학술논문

Software and Data Citation
Document Type
Periodical
Source
Computing in Science & Engineering Comput. Sci. Eng. Computing in Science & Engineering. 22(2):4-7 Apr, 2020
Subject
Computing and Processing
Bioengineering
Communication, Networking and Broadcast Technologies
Special issues and sections
Citation analysis
Data analysis
Publishing
Scholarship
Software tools
Language
ISSN
1521-9615
1558-366X
Abstract
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.