Popular opinion to the contrary, scholarly publishing has not been disrupted. But only superior management can navigate the many challenges ahead.
With so much broken by the Internet, we may be moving into a mode of fixing things. Are open citations part of the solution, or more of the problem?
2017 may have been a watershed year for the Internet and its future. What did we learn? And what factors may shape 2018?
The Altmetric “flower” is an icon, and the annual Top 100 list a much-anticipated event. But is the flower really a stalk?
Open data is gaining ground, but is there a revenue stream that would help journals recover the costs of gathering, reviewing and publishing data?
Evolving forms of digital scholarship such a 3-D images, multimedia, and geographic data are relatively new elements in the scholar’s workflow. These formats appear in stark contrast to the legacy books and journal articles required for career advancement within the […]
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.
Once again, the term “open” requires further thought to probe the pros and cons. With open source, we may be once again doing things that make the big bigger and the small less relevant.
23andMe presents an interesting model for STM publishers on how to enter a new and lucrative market for data publishing.
The genetics testing copany 23andme presents an interesting example of a new kind of data publishing.
Revisiting Kent Anderson’s 2016 post on the ever-increasing costs of digital publishing.
Is access to the research paper really the same thing as access to the research results themselves? What about patents on publicly funded research? Revisiting a 2013 post to re-examine these questions.
We once assumed taxpayer-funding meant information availability. The new US government is now actively hiding scientific data, imperiling our understanding of the world.
A clever visualization that makes it easier to understand statistics about human populations be reducing their scale.
What happens when an experiment is correct, but it’s really hard to replicate? Are there research results that are accurate but not reproducible?