| Autor: |
Schoch, David, Chan, Chung-hong, Wagner, Claudia, Bleier, Arnim |
| Předmět: |
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| Zdroj: |
EPJ Data Science; 12/2/2024, Vol. 13 Issue 1, p1-11, 11p |
| Abstrakt: |
Open science practices have been widely discussed and have been implemented with varying success in different disciplines. We argue that computational-x disciplines such as computational social science, are also susceptible to the symptoms of the crises, but in terms of reproducibility. We expand the binary definition of reproducibility into a tier system which allows increasing levels of reproducibility based on external verifiability to counteract the practice of open-washing. We provide solutions for barriers in Computational Social Science that hinder researchers from obtaining the highest level of reproducibility, including the use of alternate data sources and considering reproducibility proactively. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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