Withdrawn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.

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

Advancing shared understanding of the relationship between data and information.

Tracking provenance for research data is vital to science and scholarship, providing answers to common questions researchers and institutions pose when sharing and exchanging data.

The tasks for this Working Group focus on finding, detailing and recommending best practices for provenance representation and management.

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.