Historical Groups

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HG

Certification and Accreditation for Data Science Training and Education WG

Status: 
Withdrawn
Secretariat Liaison: 
Fotis Karayannis
TAB Liaison: 
Carole Palmer

The Certification and Accreditation for Data Science Training and Education WG was set up following the RDA 8th Plenary BoF meeting which initiated the discussions on approaches to analyzing and comparing data science related accreditation and certification schemes and related practices for data science and data management professions in different countries around the world.

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HG

Data re-use, share your experiences

Status: 
Withdrawn

The goal is to create an interest group on “data re-use” to give the opportunity to scientists to share their experiences, express their needs not in technical terms but from a user point of view.

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HG

Engagement IG

Status: 
Withdrawn

Status: Recognised & Endorsed The Engagement Interest Group is a collaborative whose purpose is to stimulate broader awareness of data openness and exchange as well as to engage researchers, curators, and other audiences in the development and implementation of RDA decisions. The group is open for participation to anyone interested in needs assessment, user studies, ethnographic approaches to knowledge and science, as well as in history of changes in epistemic cultures and forms of knowledge production and dissemination.

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HG

Mapping the Landscape IG

Status: 
Completed
Secretariat Liaison: 
enquiries[at]rd-alliance.org

The Internet now connects data, compute resources and software from globally distributed resources in real time. Where on planet Earth these resources are geographically located is irrelevant, but to enable online access to them, there is a rising need for programmatic access to both data, and to software to process data across institutional, domain and national boundaries. This requires the development of standardized machine-to-machine interfaces that can loosely couple data and software through agreed formats, interfaces, vocabularies and ontologies, preferably across multiple domains. The complexity of these online infrastructures require that they are built by much wider communities, through effective cooperation and governance, to enable new and innovative forms of interdisciplinary science from globally accessible data stores. 

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