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NEW! February 2020: In order to make it easier for you to collaborate with your teams, we have improved the user experience of your Groups’ online space. A series of icons and labels now guide your activity and help you post messages to the group members, create and organise wiki pages, send events’ announcements, publish and organise the outputs and case statements resulting from your group’s activity and browse all the members of your Group. One new area also collects the Plenary sessions your group contributed to.

We hope that you’ll find this useful! Please do not hesitate to send your comments and suggestions to the RDA Secretariat here.

Secretariat Liaison: 
enquiries@rd-alliance.org
TAB Liaison: 
Dimitris Koureas
 

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.