There is ongoing debate regarding the robustness and credibility of published scientific research. We argue that these issues stem from two broad causal mechanisms: the cognitive biases of researchers and the incentive structures within which researchers operate. The UK Reproducibility Network (UKRN) is working with researchers, institutions, funders, publishers, and other stakeholders to address these issues.
Scientists working with complex and noisy biological data, who are motivated and incentivized to
find something, may be led astray by our natural, human cognitive biases.
DOI: https://doi.org/10.1016/j.tics.2019.12.002 CITED 1: https://scholar.google.com/scholar?um=1&ie=UTF-8&lr&cites=5973211101330091894 on Mon 23 Mar 23:45:38 GMT 2020
A Face on Mars?
https://en.wikipedia.org/wiki/Cydonia_(Mars)
The UK Reproducibility Network
Registered Reports (https://cos.io/rr/). Accountable Replications Policy (https://royalsocietypublishing.org/rsos/repliction-studies). Open Research Working Groups (https://osf.io/vgt3x/). ReproducibiliTea (https://osf.io/3ed8x/). Octopus (https://octopus-hypothesis.netlify.com). Consortium-Based Student Projects (https://osf.io/74ur2/). Laboratory Efficiency Assessment Framework (https://www.ucl.ac.uk/greenucl/resources/labs/leaf-laboratory-efficiency-assessment-framework). Open Research Primers (https://www.bristol.ac.uk/psychology/research/ukrn/about/resources/).