Human development is a result of many complex, interacting processes. It may be described on different levels of investigations and can be studied using different methodologies. Studying development also requires the consideration of individual variations over time, both within and between individuals. Development does not always follow a linear pattern and we may all have different goals that we aim to reach.
Developmental neuroimaging studies face different challenges that may impact reproducibility and replicability. Such challenges may include: low statistical power or effect sizes, flexibility in data collection strategies or various issues of analytical flexibility, research culture and ethics.
While outlining challenges and issues that may arise before, during, and after data collection, our new manuscript published in print today in the Journal Developmental Cognitive Neuroscience aims to highlight solutions and resources to overcome some of these:
https://doi.org/10.1016/j.dcn.2020.100902
To state it with the words of Nuijten (2019): “Even if you pick only one of the solutions above for one single research project, science will already be more solid than it was yesterday”
Citation: Klapwijk, ET, van den Bos, W, Tamnes, CK, Raschle, NM, & Mills, KL (2020). Opportunities for increased reproducibility and replicability of developmental neuroimaging. Developmental Cognitive Neuroscience, 100902.
We are all born scientists 
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