Citation and attribution of archived data: guidelines of the Archive of the Indigenous Languages of Latin America

Date
2017-01-06
Authors
Kung, Susan
Perez Gonzalez, Jaime
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Abstract
Today great quantities of research data are publically available for re-use, and most academic fields are becoming aware of the need to establish recommendations for how these data should be cited so that the data creators get proper attribution for their work. To this end, AILLA has developed Citation Guidelines that provide detailed citation examples of the different hierarchical levels of AILLA's holdings, including collections (organized materials based on individual collectors), resources (materials organized around a speech event), and individual files. These Guidelines differentiate in-text and bibliographic citations. Furthermore, each collection and resource page on AILLA provides instructions for how it should be cited. In this poster, we explain AILLA's Citation Guidelines, we show how--when followed--these guidelines give appropriate credit to the various contributors of the data and allow for easy access to the data in the archive, and we demonstrate the proper implementation of these guidelines in linguistic literature.
Description
Poster: Today great quantities of research data are publically available for re-use, and most academic fields are becoming aware of the need to establish recommendations for how these data should be cited so that the data creators get proper attribution for their work. To this end, AILLA has developed Citation Guidelines that provide detailed citation examples of the different hierarchical levels of AILLA's holdings, including collections (organized materials based on individual collectors), resources (materials organized around a speech event), and individual files. These Guidelines differentiate in-text and bibliographic citations. Furthermore, each collection and resource page on AILLA provides instructions for how it should be cited. In this poster, we explain AILLA's Citation Guidelines, we show how--when followed--these guidelines give appropriate credit to the various contributors of the data and allow for easy access to the data in the archive, and we demonstrate the proper implementation of these guidelines in linguistic literature.
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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