Withdrawn

HG

Big Data Modelling of UN SDGs

Status: 
Withdrawn

The proposed setting–Development Science Framework (DSF), views each SDG as a source of highly correlated Big Data attributes and seeks to explore their interactions in a predictive, spatio-temporal context.

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HG

Public Health Graph WG

Status: 
Withdrawn
Secretariat Liaison: 
Stefanie Kethers

Public health research is a multidisciplinary and multifaceted approach toward improving the health of the population. In recent years, there has been a significant investment in studying and collecting public health data; however, given the complexity of public health, it is not a trivial task to find related datasets to a given public health research problem. The Public Health Research includes topics such as

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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Withdrawn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

5th RDA WG/IG Collaboration Meeting - Nottingham, UK

Status: 
Withdrawn
TAB Liaison: 
Rainer Stotzka

The RDA-EU Board of Directors has decided to provide limited travel support for European co-chairs to the Nottingham RDA Collaboration meeting. Applications for support should be forwarded to Kathrin Beck (rdaeu3-pmo@rda-e3.eu) until 1 June 2016, noon CEST.

 

Presentation slides: https://rd-alliance.org/presentation-slides-0

 

Agenda

Wednesday, 8 June 2016

12:00 – 13:00 Networking Lunch

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HG

Storage Service Definitions WG

Status: 
Withdrawn
Secretariat Liaison: 
Lynn Yarmey
TAB Liaison: 
Rainer Stotzka

This working group is involved in creating well-defined terms that describe storage services, especially in the areas of Quality of Service and Data Life-cycle. These terms should describe what the users (the scientists) can expect from the storage service, allowing them to compare different storage options and choose where to store their data with some confidence at how the storage service will behave.

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