New data literacy and artificial literacy standards are necessary and emerging. The workflows and iterative mindsets the Digital Humanities can help inform our approaches.
Data quality and record keeping are going to grow in importance as a result of AI applications.
The Data Hazards project looks at the problems in applying traditional ethical values to research that uses machine learning and artificial intelligence.
FORCE11 and COPE release recommendations on data publishing ethics for researchers, publishers, and editors.
Last week the UK government COVID held a press briefing in an attempt to get the country behind new travel and social restrictions. What lessons can we learn from this bad example of how not to present evidence to support our positions?
Elsevier’s acquisition of Aries Systems sends shockwaves through the industry, but is it really that surprising?
What might the recent backlash to revelations about how Facebook was exploited mean for the scholarly ecosystem?
Franklin Foer’s new book is a bracing account of the current information economy, the monopolies and motivations at its heart, and the weakening of democratized knowledge.
Data makes content discoverable, aids in decision-making, enriches product development, etc., but what data are most critical to success?
A few take-aways from STM Week, including London Information International — why publishers have to take security seriously, why OA may need to itself be disrupted, and why we might want to rethink the “content business” positioning we have.
A cautionary tale on how difficult it can be to obtain another researcher’s published data.
A presentation to the 2016 ISMTE US Conference. Something of a “state of our industry” overview, or perhaps, everything I needed to know I learned from the other bloggers at The Scholarly Kitchen.
A study shows that adherence to best practices for data citation is improving, but still has a long way to go.
A short film on the need for accurate statistical analysis and data availability.
The hidden costs of data availability policies.