Sharing and preserving computational analyses for posterity with encapsulator
| Autor: | Elizabeth Fong, Thomas Pasquier, Emery R. Boose, Aaron M. Ellison, Barbara Staudt Lerner, Xueyuan Han, Margo Seltzer, Mercè Crosas, Matthew K. Lau |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
FOS: Computer and information sciences
0301 basic medicine General Computer Science software artifact Computer science business.industry Data_MISCELLANEOUS General Engineering provenance Computer Science - Digital Libraries reproducible research reproducible code 03 medical and health sciences 030104 developmental biology scientific computing computational reproducibility Code (cryptography) Digital Libraries (cs.DL) Time capsule Software engineering business |
| Zdroj: | Pasquier, T, Lau, M K, Han, X, Fong, E, Lerner, B S, Boose, E R, Crosas, M, Ellison, A M & Seltzer, M 2018, ' Sharing and preserving computational analyses for posterity with encapsulator ', Computing in Science and Engineering, vol. 20, no. 4, pp. 111-124 . https://doi.org/10.1109/MCSE.2018.042781334 |
| Popis: | Open data and open-source software may be part of the solution to science's "reproducibility crisis", but they are insufficient to guarantee reproducibility. Requiring minimal end-user expertise, encapsulator creates a "time capsule" with reproducible code in a self-contained computational environment. encapsulator provides end-users with a fully-featured desktop environment for reproducible research. Comment: 11 pages, 6 figures |
| Databáze: | OpenAIRE |
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