Progress on reproducibility

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Science  05 Jan 2018:
Vol. 359, Issue 6371, pp. 9
DOI: 10.1126/science.aar8654

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  • An issue of reproducibility in the trans-disciplinary fields

    Jeremy Berg reported progress on the reproducibility (1).
    Data science is being used for research across various fields. However, when studying in a trans-disciplinary team, reproducibility in computer science and reproducibility in economics represented different things. The result by statistics and the result by machine learning are distinguished from each other in computer science, so the method is described. Meanwhile, researchers in economics said that they did not mind either method if results were obtained, and the description about method was required to be skipped. For computer science researchers, to be honest, the way of economics does not make their research achievements in computer science. Both are not wrong but, for example, it is like a gap between those who develop software and those who use it.
    Then, how can computer science researchers in social science field implement reproducibility into their publications? In 2014, a large research disguise was discovered and reproducibility became a large issue. At that time, doubts about review system in sciences were also applied to reviewers and editors who adopted the manuscript. So, main academic journals have placed more importance on reproducibility now. When I refer to that example, in fact, co-author agreed about a slight improvement in the description of the method.
    As another example, in the latter half of the 1990s when computers began to be used in general, an analysis was carried out w...

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    Competing Interests: None declared.

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