Building the social and technical bridges to enable open sharing and re-use of data
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Early Career and Engagement IG

Status: 
Recognised & Endorsed
Chair (s): 
Devan Ray Donaldson, Fotis Psomopoulos, Elli Papadopoulou, Maria Tsagiopoulou

The purpose of the Early Career and Engagement Interest Group (ECEIG) is to provide a focal point for Early and Mid-Career Researchers and Professionals, including those involved in various RDA-related fellowships and Early Career programs.

 

RDA members recognize that there is a need to create a space in RDA for those who are at the beginning stages of their careers. Specifically, RDA members recognized that Early Career Researchers and Professionals usually need additional support for:

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19 Mar 2017
IG

International Indigenous Data Sovereignty IG

Status: 
Recognised & Endorsed
Chair (s): 
Stephanie Russo Carroll, Maui Hudson, Maggie Walter, Per Axelsson
Secretariat Liaison: 
enquiries[at]rd-alliance.org
TAB Liaison: 
Shahira Khair

The call for Indigenous data sovereignty (ID-Sov) —the right of a nation to govern the collection, ownership, and application of its own data—has grown in intensity and scope over the past five years. To date three national-level Indigenous data sovereignty networks exist: Te Mana Raraunga - Maori Data Sovereignty Network, the United States Indigenous Data Sovereignty Network (USIDSN), and the Maiamnayri Wingara Aboriginal and Torres Strait Islander Data Sovereignty Group in Australia. Similar initiatives are underway in Hawaii and Sweden.

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23 Jan 2017
IG

Linguistics Data IG

Status: 
Recognised & Endorsed
Chair (s): 
Andrea Berez-Kroeker, Helene N. Andreassen, Lindsay Ferrara
Secretariat Liaison: 
enquiries@rd-alliance.org
TAB Liaison: 
Raphael Cobe

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.

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