Science & Medicine
A Metric for Optimism: John Ioannidis on Reproducibility, Preregistration, and Data Sharing
In this episode we are discussing data sharing and Open Science. Our interview guest will be Stanford University Professor of Medicine: John Ioannidis who has now come to the Berlin Institute of Health as an Einstein BIH Visiting Fellow at the BIH QUEST Center to establish the Meta-Research Innovation Center Berlin (METRIC-Berlin), the European “sister” of the Meta-Research Innovation Center at Stanford (METRICS). We will cover his research and opinions on data sharing, reproducibility, and how to improve research.
'I think that scientists, by themselves, are recognizing that it is important to share [data] and in many fields, like in Genetics, they realize that unless they share they cannot really go very far'
'Clearly over the years we have seen more scientific sharing of data'
Laying it all out: How The Science Breaker is supporting lay summaries and science communication
A Skeptic's Guide to Open Science: Steven Novella on tackling biases, publication noise, and pseudoscience
'There is no spoon': Imagining Science Without Journals
Public Money? Public Code: What 'Free' Software Really Means in Research
An Ignoble Pursuit: Laughing and Thinking about Science Communication and the Ig Nobel Prize
Signing up to Open Science: Open Peer Review and Aligning Core Values
Open Data: FAIR, foul, and meta
Retraction Watch, Research Integrity, and Peer Review
Aubrey De Grey, Aging, and Alternative Approaches to Research
Communicating Animal Research Part 2
Communicating Animal Research Part 1
Preprints: what do scientists think?
Rewriting Diversity: Editing Wikipedia and Opening Science
Is science self-correcting?
Plan S: Solution or Short-sightedness?
Scaling the Paywall: How Unpaywall Improved Open Access
Good scientists share data?
Open Science and Career Pathways
Trailer: ORION Open Science Podcast
Code and preview