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The Curation of Language Data as a Distinct Academic Activity: A Call to Action for Researchers, Educators, Funders, and Policymakers
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In: Journal of Open Humanities Data; Vol 7 (2021); 28 ; 2059-481X (2021)
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Analyzing Non-Textual Content Elements to Detect Academic Plagiarism
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Track to the past: tracking workflows, versions, and citations of legacy language data
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Track to the Past: Tracking Workflows, Versions, and Citations of Legacy Language Data ; Proceedings of the 1st International Workshop on Digital Language Archives: LangArc 2021
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In: 1st International Workshop on Digital Language Archives, September 30-October 1, 2021. ; ACM/IEEE Joint Conference on Digital Libraries, September 27-30, 2021. ; Proceedings of the International Workshop on Digital Language Archives: LangArc 2021, University of North Texas, October 7, 2021, pp. 8-10 (2021)
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Data-driven learning in the academic writing classroom: Citation and stance
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In: LFE: Revista de lenguas para fines específicos, ISSN 1133-1127, Vol. 26, Nº 1, 2020 (Ejemplar dedicado a: Investigar en Traducción e Interpretación: Nuevos Enfoques y Perspectivas), pags. 196-213 (2020)
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Can Computational Meta-Documentary Linguistics Provide for Accountability and Offer an Alternative to "Reproducibility" in Linguistics?
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Weber, Tobias. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2019. : OASIcs - OpenAccess Series in Informatics. 2nd Conference on Language, Data and Knowledge (LDK 2019), 2019
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Putting practice into words: The state of data and methods transparency in grammatical descriptions
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Symposium & Panel Discussion: Data Citation and Attribution for Reproducible Research in Linguistics
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Developing standards for data citation and attribution for reproducible research in linguistics: project summary and next steps
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A survey of current reproducibility practices in linguistics publications
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TROLLing: Scope and operation of an open repository for linguistic datasets
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Developing methods for reproducible research in linguistics: a first step
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Citation and attribution of archived data: guidelines of the Archive of the Indigenous Languages of Latin America
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Data citation, attribution, and employability
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Abstract:
Poster: Demand from academic departments for linguists possessing data skills has remained low in the last decade despite an influx of new data-driven tools, research, and ability to manage data in ways not possible before the internet. We assessed two barometers of employability: academic job postings and course descriptions. A survey of the academic linguistic job market over 10 years reveals that despite the field becoming more reliant on digital data, employers are not asking that candidates be fluent in data management. We also surveyed course descriptions and syllabi from 25 of the top-ranked linguistics programs in the United States and abroad, finding that most universities do not offer training in basic data management, despite offering courses in data- driven subdisciplines. This poster presents the data supporting these points including data management hiring and training trends. ; Demand from academic departments for linguists possessing data skills has remained low in the last decade despite an influx of new data-driven tools, research, and ability to manage data in ways not possible before the internet. We assessed two barometers of employability: academic job postings and course descriptions. A survey of the academic linguistic job market over 10 years reveals that despite the field becoming more reliant on digital data, employers are not asking that candidates be fluent in data management. We also surveyed course descriptions and syllabi from 25 of the top-ranked linguistics programs in the United States and abroad, finding that most universities do not offer training in basic data management, despite offering courses in data- driven subdisciplines. This poster presents the data supporting these points including data management hiring and training trends. ; This material is based upon work supported by the National Science Foundation under grant SMA-1447886.
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Keyword:
attribution; data citation; Linguistics
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URL: http://hdl.handle.net/10125/43571
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Questions, curiosities, and concerns: talking points for data citation and attribution
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Putting practice into words: The state of data and methods transparency in grammatical descriptions
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