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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

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.

Farmers have the capability as they have never had before to critically evaluate management practices using field-scale replicated strip trials. Farmers have gained this powerful capability because yield monitors on combines enable accurate measurement of yields. Networks of farmers have become increasingly common to exploit the potential of yield monitors to evaluate management practices at the field level. Networks of farmers have also become increasingly common because farmers understand the power of evaluating management practices across many fields.