Data Management

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

Introduction

The Research Data Architectures in Research Institutions Interest Group is primarily concerned with technical architectures for managing research data within universities and other multi-disciplinary research institutions. It provides insight into the approaches being taken to the development and operation of such architectures and their success or otherwise in enabling good practice.

SHARC is a recognised and endorsed interest group within RDA (Research Data Alliance).  It is an interdisciplinary group seeking to unpack and improve crediting and rewarding mechanisms for open science activities and in particular, for the data/resources sharing process. It aims to provide guidance for researchers and recommendations to all key actors of the academic recognition ecosystem.