Open science is important, but it is also hard. Unfortunately, 'hard' has often meant that scientific quality checks are both slow and inadequate, falling in an unsatisfactory middle ground between two opposing goals
The higher education landscape has been accumulating a variety of structural problems over the last two decades – worldwide
ConTech's webinar today is entitled: 'An Overview of Semantic Scholar and our Response to the COVID-19 Crisis'. The speaker is Sebastian Kohlmeier, senior manager for business operations at the Allen Institute for AI.
Countless hours are lost to slow, clunky systems, inadequate technical infrastructure, poor data quality and a lack of management and reporting functionality. Navigating legacy systems in technical silos that don’t talk to each other is an enormous drain on marketing and sales resources. Integration and consolidation of data is one of the most effective ways to tackle these issues. But what are the problems you have to work through and what results can you hope to achieve?
This webinar presented by Dr Jamil Salmi will look at how research universities are emerging as the central institutions of the 21st century knowledge economies
The organisers of London Info International, along with Clarivate Analytics, have announced a webinar: 'How has the concept of being citable evolved?'
The pandemic has pushed the use of technology to the fore and it is likely to remain there, writes Tim Gillett
Lou Peck and Phil Hurst
Lou Peck and Phil Hurst cast an eye over proceedings during Peer Review Week
Academic publishers are railing against inaccurate stories and asking the scientific community to do more, writes Matt McKay
We've recently seen some positive and impactful changes to the way in which the OA landscape can work, writes Steven Inchcoombe
Rebecca Pool asks: has Covid-19 pushed the move towards open data to the point of no return?
