In this article, we present the challenge of software citation as a method to ensure credit for and identification, discovery, and reuse of software in scientific and engineering research. We discuss related work and key challenges/research directions, including suggestions for metadata necessary for software citation.
@article{arxiv.1601.04734,
title = {The challenge and promise of software citation for credit, identification, discovery, and reuse},
author = {Kyle E. Niemeyer and Arfon M. Smith and Daniel S. Katz},
journal= {arXiv preprint arXiv:1601.04734},
year = {2016}
}
Comments
Challenge paper submitted to ACM Journal of Data and Information Quality. v4: 2nd revised submission