Scientific advancement is built on the premise of experimentation and observation followed by the sharing of reliable and credible results. A key aspect of this is that findings should be reproducible and able to be independently validated and verified.
Unfortunately this is not always the case in the field of oncology, which like many other fields, suffers from the "reproducibility/replicability" crisis whereby a significant number of basic and preclinical studies have failed replicability tests of the scientific methods, with many considered to be irreproducible. This demonstrates the necessity and value to replicate studies, validate computational datasets and statistical models, and independently verify results.
This Research Topic seeks to collect data, opinions and perspectives exploring the area of reproducibility in cancer research - covering opinions on the pressures causing the issue, approaches to identifying and avoiding fraudulent research, and improving the rigour and soundness of traditional and widely used research practices and applications. We also aim to stimulate researchers to design and publish works that attempt to reproduce landmark studies.
Kindly note, we are not seeking individual isolated satisfactions, but a broader and more useful objective that we can achieve only by bringing the whole research community to work together.
Scientific advancement is built on the premise of experimentation and observation followed by the sharing of reliable and credible results. A key aspect of this is that findings should be reproducible and able to be independently validated and verified.
Unfortunately this is not always the case in the field of oncology, which like many other fields, suffers from the "reproducibility/replicability" crisis whereby a significant number of basic and preclinical studies have failed replicability tests of the scientific methods, with many considered to be irreproducible. This demonstrates the necessity and value to replicate studies, validate computational datasets and statistical models, and independently verify results.
This Research Topic seeks to collect data, opinions and perspectives exploring the area of reproducibility in cancer research - covering opinions on the pressures causing the issue, approaches to identifying and avoiding fraudulent research, and improving the rigour and soundness of traditional and widely used research practices and applications. We also aim to stimulate researchers to design and publish works that attempt to reproduce landmark studies.
Kindly note, we are not seeking individual isolated satisfactions, but a broader and more useful objective that we can achieve only by bringing the whole research community to work together.
