Recognised & Endorsed

Engineering comprises a vast span of sub-disciplines including for example chemical, civil, electrical, and mechanical engineering. Traditionally, engineering disciplines apply scientific knowledge and empirical evidence to finding (innovative) solutions in areas that range from design, creating and building to production of software and innovative materials. Therefore, research in engineering disciplines is highly multi-disciplinary and works in close collaboration with industry.

FAIR Data Maturity Model: core criteria to assess the implementation level of the FAIR data principles

Webinar - The RDA FAIR Data Maturity Model WG: Aligning International Initiatives for Promoting and Assessing FAIR Data - 19/11/2020

Preparing for the 16th Plenary

The IG on Surveying Open Data Practices draws attention to the growth of global and national-level surveys as a lens to characterize how researchers’ practices and perceptions toward open data shape the knowledge ecology in different jurisdictions and disciplines.

The aim of this Working Group (WG) is to develop synergies between existing education and training activities and agricultural science needs by performing a landscape assessment to identify existing gaps and training requirements within the Interest Group on Agricultural Data (IGAD) WGs related. A particular focus will be on sharing knowledge about training initiatives and technologies, reducing digital divides so that researchers and practitioners in developing countries can also benefit.