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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 Group set 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.
The Science Europe Working Group on Research Data and the Knowledge Exchange Research Data expert group joined forces to explore how RDM/RDI are, or can be, funded. This briefing paper presents the results of the joint activity, detailing the approach and main outcomes of the study.
We are happy to announce the release of the RDA Magazine. In this issue: Eleven Collaboration Projects testing & adopting RDA outputs RDA Outcomes... and a possible way for them to become technical specifications Stories from the RDA 6th Plenary Meeting RDA Working and Interest Groups RDA 2016 Training Programme an much more...
Research data systems have matured greatly over the last decade - partly in response to the growing complexity, amount, and heterogeneity of research data. Innovations such as data harmonization, interoperability frameworks, and feature extraction tools are greatly improving the capabilities of research communities to access and manipulate data in computing systems.
The OECD (Organisation for Economic Cooperation and Development) has published its study on Open Science carried out as a part of the activities of the OECD’s Working Party on Innovation and Technology Policy (TIP). Entitled ‘Making Open Science a Reality’ the study gives an overview of the progress made by OECD countries in making publicly funded research openly accessible. Individual country notes have also been made available to support the findings.
An overview of practical, free, online resources and tools that you can begin using today to incorporate research data management into your practice of librarianship. 23 Things: Libraries for Research Data was presented on August 17 at the International Federation of Library Associations' annual conference in Cape Town, South Africa, in a session that was jointly sponsored by the RDA.
The Research Data Alliance (RDA) rises to the challenge of changing global data practices by providing concrete solutions to address some of today’s many, many data challenges. Two years since its launch RDA has already published tangible outputs aiming to achieve seamless interoperability, trust, and ultimately to provide growth & employment opportunities by making data re-use less expensive.