A survey of current reproducibility practices in linguistics publications
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2017-01-06
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Abstract
In order to move forward toward reproducible research in linguistics, we first need to know where we are now with regard to our practices for methodological clarity and data citation in publications. In this poster we share the results of a study of over 370 journal articles, dissertations, and grammars, which is taken as a sample of current practices in the field. The publications all come from a ten-year span. The journals were selected for broad coverage. Grammars included published grammars and dissertations written as grammars, with broad geographic coverage, both in terms of subject language and publisher or university.These publications are critiqued on the basis of transparency of data source, data collection methods, analysis, and storage. While we find examples of transparent reporting, most of the surveyed research does not include key metadata, methodological information, or citations that are resolvable to the data on which the analyses are based.
Description
Poster: In order to move forward toward reproducible research in linguistics, we first need to know where we are now with regard to our practices for methodological clarity and data citation in publications. In this poster we share the results of a study of over 370 journal articles, dissertations, and grammars, which is taken as a sample of current practices in the field. The publications all come from a ten-year span. The journals were selected for broad coverage. Grammars included published grammars and dissertations written as grammars, with broad geographic coverage, both in terms of subject language and publisher or university.These publications are critiqued on the basis of transparency of data source, data collection methods, analysis, and storage. While we find examples of transparent reporting, most of the surveyed research does not include key metadata, methodological information, or citations that are resolvable to the data on which the analyses are based.
Keywords
data citation, attribution, Linguistics
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Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported
Attribution-NonCommercial-ShareAlike 3.0 United States
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