Abstract
Computational reproducibility is a critical first step to supporting data reuse. Incentives that encourage data reuse within an academic setting are unlikely to be compelling for students who decide not to continue in academe. The goal of this work is to identify key barriers in the most likely of scenarios with computational reuse, when a doctoral student reproduces work done by another student from the same lab.
Original language | English (US) |
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Pages (from-to) | 688-690 |
Number of pages | 3 |
Journal | Proceedings of the Association for Information Science and Technology |
Volume | 56 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2019 |
Keywords
- Reproducibility
- data curation
- data reuse
ASJC Scopus subject areas
- General Computer Science
- Library and Information Sciences