Name
Abstract | ||
|---|---|---|
Among the top challenges of reproducible computational science are the following: 1) creation, curation, usage, and publication of research software; 2) acceptance, adoption, and standardization of open-science practices; and 3) misalignment with academic incentive structures and institutional processes for career progression. I will mainly address the first two here, proposing a praxis of reproducible computational science. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/MCSE.2018.2881905 | Computing in Science & Engineering |
Keywords | Field | DocType |
Licenses,Standards,Open source software,Collaboration,Scientific computing,Training | Praxis,Incentive,Computer science,Software,Computational science,Open source software,Standardization | Journal |
Volume | Issue | ISSN |
21 | 1 | 1521-9615 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| L. A. Barba | 1 | 74 | 8.02 |