Data management across academic disciplines

Date
2017-01-06
Authors
Hooshiar, Kavon
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Abstract
Developments in digital technologies have increased the quantity of data being created as well as provided a means to make that data available to the public digitally. Researchers are now faced with managing such grey publications, for which there is no guarantee of persistence or accessibility, nor standards for citation and attribution. Linguists are not alone in changing the way we think about data. Initiatives such as the e-Infrastructure Reflection Group and FORCE11 have membership across the sciences and identify citation, attribution, unique identification, access, persistence, specificity, and interoperability of data as fundamental. The linguistics community could benefit from developing our understanding of data management consistently with the larger academic community, and the overlap between our guiding principles should facilitate this outcome. This poster outlines this overlap between our efforts and those of other disciplines, and explores ways we can proceed to facilitate our interaction with the larger academic community.
Description
Poster: Developments in digital technologies have increased the quantity of data being created as well as provided a means to make that data available to the public digitally. Researchers are now faced with managing such grey publications, for which there is no guarantee of persistence or accessibility, nor standards for citation and attribution. Linguists are not alone in changing the way we think about data. Initiatives such as the e-Infrastructure Reflection Group and FORCE11 have membership across the sciences and identify citation, attribution, unique identification, access, persistence, specificity, and interoperability of data as fundamental. The linguistics community could benefit from developing our understanding of data management consistently with the larger academic community, and the overlap between our guiding principles should facilitate this outcome. This poster outlines this overlap between our efforts and those of other disciplines, and explores ways we can proceed to facilitate our interaction with the larger academic community.
Keywords
data citation, attribution, Linguistics
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