more and subsequent analysis of data; opportunities for collaboration and comparison; richer exposure of methods; and research validation.
Indeed, the concept of replication has also become ever more prominent in the research narrative. The idea is appealing: that sharing of the data which underpins research publications can help counter mistrust in research findings,
This mistrust has been increased by problems that have occurred in peer-reviewed publications from unverifiable results and faking of data (for instance, in the field of psychology, there are examples iran rcs data from the Netherlands and Belgium ). Janz reminded us that a 2015 study which attempted to replicate the results of 98 psychology papers found that more than half couldn’t be reproduced,
More recently, in the UK, there has been a UK Parliamentary Science and Technology Committee inquiry on Research Integrity, looking at the so-called ‘crisis in reproducibility’ of research.
In 2012 the US political science community introduced a practical approach to assessing replicability. The DA-RT (Data Access and Research Transparency) initiative was aimed at journal editors, and sought to instate a replication threshold for quantitative paper submissions. The DA-RT helpfully separates out data, analytic and production transparency.