Research evaluation involves the assessment of the quality, impact, and relevance of academic and scientific research. It aims to measure the effectiveness of research initiatives, funding allocations, and individual contributions to the advancement of knowledge. Digital Science aims to help in providing methods of research evaluation and insights into the importance, shedding light on its role in shaping the future of research practices and funding allocation strategies.
Fragmentation of AI research: Looking for silos in Applied AI
Women’s first publications in decline after decades of growth
Fragmented knowledge in pharma: Bridging the divide between private and public data
Fragmentation in research data publishing – and how to fix it
The landscape of open research data is ever-evolving, driven by the relentless advancement of technology and the burgeoning expectations of a data-driven society. This piece navigates research data publication fragmentation, elucidating how the principles of Findable, Accessible, Interoperable, and Re-usable (FAIR) data - are pivotal in this context. FAIR data was a term coined in 2016 that has gained global traction.
Fragmentation: The Divided Research World – Part Two, Siloed Knowledge
January 2024 marks the start of the second phase of our ‘Fragmentation of Research’ Campaign with a focus on the sub-theme, ‘siloed knowledge’. We will explore the fragmentation of research from the viewpoint of those areas of research where a lack of integration reveals instances where research findings remain isolated, limiting their broader applicability across the research ecosystem.