A New Vision for the Statistical Training of Scientists
Many of today's problems in science are substantially driven by deficits in statistical thinking and data skills that are common across the sciences. This opinion article justifies this position, and offers ways that these deficits might be addressed.
Elsevier argues that they make their citation data available through their subscription database, Scopus, and that “[…] Elsevier cannot make such a large corpus of data, which it has added significant value to, available for free."
I’m not the first to come up with a personal story about the importance of open access and I’m not going to tell my story right now. I want to tell two other stories from the past couple of weeks that have reinforced for me why I do what I do every day in advocating for full and immediate open access to research.
It's Not a Replication Crisis. It's an Innovation Opportunity
Australian cancer researcher Glenn Begley who raised attention to the fact that many published scientific findings cannot be reproduced ,says that he never described it as a replication crisis, beacuse if one takes the funding from the lazy scientists and give it to really good scientists, it is an innovation opportunity.
All graduate students should be planning their post-PhD employment from year one. Supported and nurtured by their institutions and their supervisors. There is a catch for supervisors: they are themselves academics, and so will understandably have little clue about what might constitute useful training for the current job market. The onus must so fall on broader shoulders, of the institutions and funders.
According to Wikipedia, Open Science is "the movement to make scientific research, data and dissemination accessible to all levels of an inquiring society, amateur or professional." That definition raises a number of questions.
Understanding the Implications of Open Citations — How Far Along Are We?
The academic discovery space seems to be buzzing again. This space has become relatively stable after the introduction and maturity of Web Scale Discovery between 2009-2013, but things seem to be hotting up once again
How Not To Be A Crank: Ten Rules For Not Being A Science-Dick
When you criticize science in public, you are taking a complicated argument to people who don’t care very much about the work of someone who wishes you’d shut up. This can be difficult to navigate. Although it’s often ‘a complete pain in the taint’ more than just ‘difficult’.