With over 10000 members from 145 countries, RDA provides a neutral space where its members can come together to develop and adopt infrastructure that promotes data-sharing and data-driven research
This whiteboard is open to all RDA discipline specialists willing to give a personal account of what data-related challenges they are facing and how RDA is helping them
The e-Infrastructure Reflection Group (e-IRG) has produced a new document titled "Evaluation of e-Infrastructures and the development of related Key Performance Indicators". The objective of this e-IRG document is to provide an initial framework for evaluation and assessment of regional, national and European e-Infrastructures and to develop a categorisation of KPIs for key areas/components and other cost-related information, basically for the funder and policy level.
Sixteen stories about the real-life benefits of Australian research data have been compiled into a new eBook published by the Australian National Data Service (ANDS).
Data driven science is seen as the fourth paradigm of scientific research after experimental science, theoretical science and computational science.
While great focus is given to Big Data (comprising structured as well as unstructured data with a tendency to be homogeneous and standardized), at the opposite side of the spectrum Long Tail Data - characterized as heterogeneous, relatively small data, often with unique standards and not regulated - has received so far less attention and poses its challenges.
The European Commission adopted on 19 April 2016 the communication “European Cloud Initiative – Building a competitive data and knowledge economy in Europe” that sets out a strategy to strengthen Europe’s position in data-driven innovation, improve its cohesion and help create a Digital Single Market in Europe. This is a fundamental step towards the reinforcement of the EU’s competitiveness in digital technologies and in innovation.
The RDA-WDS Data Publishing Workflows Working Groupset out to study the current data-publishing workflow landscape across disciplines and institutions. A diverse set of workflows were examined to identify common components and standard practices, including basic self-publishing services, institutional data repositories, long-term projects, curated data repositories, and joint data journal and repository arrangements.
