Developing standards for data citation and attribution for reproducible research in linguistics: project summary and next steps

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2017-01-06

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Developing Standards for Data Citation and Attribution for Reproducible Research in Linguistics is an NSF-supported project (SMA-1447886) that brings together relevant stakeholders to collaboratively develop and promote standards for linguistic data citation and attribution. Project participants include linguistics journal editors; language archivists; linguists representing various subfields and academic career stages from graduate students to provosts; and “Big Data” specialists. The first workshop was held at the University of Colorado Boulder in September 2015; the second was held at The University of Texas at Austin in April 2016. A panel presentation and the final workshop will take place in conjunction with this LSA Annual Meeting. This poster summarizes the aims and accomplishments of the first two workshops, describes the plans for the final workshop and the suggests the next steps in the development and promotion of a model for data citation and attribution in linguistics.

Description

Poster: Developing Standards for Data Citation and Attribution for Reproducible Research in Linguistics is an NSF-supported project (SMA-1447886) that brings together relevant stakeholders to collaboratively develop and promote standards for linguistic data citation and attribution. Project participants include linguistics journal editors; language archivists; linguists representing various subfields and academic career stages from graduate students to provosts; and “Big Data” specialists. The first workshop was held at the University of Colorado Boulder in September 2015; the second was held at The University of Texas at Austin in April 2016. A panel presentation and the final workshop will take place in conjunction with this LSA Annual Meeting. This poster summarizes the aims and accomplishments of the first two workshops, describes the plans for the final workshop and the suggests the next steps in the development and promotion of a model for data citation and attribution in linguistics.

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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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