Data Management

Good Research Data Management (RDM) is a key component of research integrity and reproducible research. Consequently, funding bodies, governments, research institutions and other agencies have emphasised the value and importance of good data management. However, discussions about data management and sharing are sometimes limited to librarians, data professionals, or researchers who are already passionate about data stewardship and open science.

This is the web page for the Lithuanian National RDA Node. We aim to act as a team of experts who represent different institutions and fields of activity and will be ready to promote and disseminate the outputs and recommendations developed by the RDA to raise awareness and provide support in data management in the national context, also, through the RDA, inform the international community on the national status quo and needs.

InteroperAble Descriptions of Observable Property Terminology WG (I-ADOPT WG)

Webinar - Decomposing Observable Property Descriptions into Machine-Readable Components - 28 July 2021

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.