Title | ||
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The challenge and promise of software citation for credit, identification, discovery, and reuse. |
Abstract | ||
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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. |
Year | DOI | Venue |
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2016 | 10.1145/2968452 | J. Data and Information Quality |
Keywords | DocType | Volume |
Software citation,software credit,attribution | Journal | abs/1601.04734 |
Issue | ISSN | Citations |
4 | 1936-1955 | 6 |
PageRank | References | Authors |
0.50 | 8 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kyle E. Niemeyer | 1 | 58 | 10.10 |
Arfon M. Smith | 2 | 75 | 6.14 |
Daniel S. Katz | 3 | 1496 | 121.04 |