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Comment on “Most computational hydrology is not reproducible, so is it really science?” by Christopher Hutton et al.
Author(s) -
Añel Juan A.
Publication year - 2017
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1002/2016wr020190
Subject(s) - ignorance , computer science , interpretation (philosophy) , data science , management science , risk analysis (engineering) , operations research , law , engineering , political science , business , programming language
Abstract Nowadays, the majority of the scientific community is not aware of the risks and problems associated with an inadequate use of computer systems for research, mostly for reproducibility of scientific results. Such reproducibility can be compromised by the lack of clear standards and insufficient methodological description of the computational details involved in an experiment. In addition, the inappropriate application or ignorance of copyright laws can have undesirable effects on access to aspects of great importance of the design of experiments and therefore to the interpretation of results.