The Chan Zuckerberg Initiative will soon invite applications for open source software projects that are essential to biomedical research. Applicants can request funding between $50k and $250k for one year.
Making Research Open and Reproducible: An Early Career Researcher's Perspective
As an early career researcher (ECR), making the transition from the “traditional” way of doing science into methods that are more open, reproducible, and replicable can be a daunting prospect. We know something needs to change about our workflow, but where do we start?
One of the latest creations to emerge from the Research Institute's lab, Apograf is an interactive platform that houses an extensive collection of scientific publications and is building a mechanism for incentivising peer review.
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.