status: Recognised & Endorsed
Chair (s): Andrea Berez-Kroeker, Helene N. Andreassen, Lindsay Ferrara
Group Email: [group_email]
Secretariat Liaison: firstname.lastname@example.org
The Linguistics Data Interest Group plans to identify, prioritize, and get to work on data challenges across the Linguistics domain. As a first step, this new group will focus P10 time on developing the discipline-wide adoption of common standards for data citation and attribution, and to improve research data management training in the discipline. In our parlance citation refers to the practice of identifying the source of linguistic data, and attribution refers to mechanisms for assessing the intellectual and academic value of creating, managing, storing, sharing, and citing primary data.
The LDIG is for data at all linguistic levels (from individual sounds or words to video recordings of conversations to experimental data) and data for all of the world’s languages, and acknowledges that many of the world’s languages have high cultural value and are underrepresented with regards to the amount of information that is available about them.
This interest group is aligned with the RDA mission to improve open sharing of data through forming transparent discipline-specific data citation and attribution conventions to be adopted by the international research community. Linguistics is a discipline that straddles social/behavioral sciences and the humanities, and thus we have a great deal to contribute to the general RDA discussion on a multiplicity of data types.
The Open Handbook of Linguistic Data Management
A guide to principles and methods for the management, archiving, sharing, and citing of linguistic research data, especially digital data.
0 | Add new comment
Austin Principles of Data Citation in Linguistics
by Lauren Gawne
Data is central to empirical linguistic research. Linguistic data comes in many different forms, and is collected and processed with a wide range of methods.
0 | Add new comment