Iain Hrynaszkiewicz, Publisher, Open Research, PLOS Note: the following perspective was published as part of Digital Science's annual survey and report, The State of Open Data 2019 , to coincide with global celebrations around Open Access Week. The biggest barrier to research data sharing and reuse seems to be a matter of trust, and in particular trust in what others may do with researchers' data if it is made openly available. The 2019 State of Open Data survey revealed that more than 2,000 respondents had concerns about misuse of their research data. Concerns about data misuse represent a multitude of issues; fears that errors could be found in their work, or that the data could be misinterpreted or research participant privacy be compromised. Researchers might also be concerned that their data will be reused for purposes they did not intend, such as commercial exploitation, or for misleading or inappropriate secondary analyses.1 The 2019 survey provides insights from one of the
In the context of a recent proposal to exclude research from consideration at the Environmental Protection Agency, John Ioannidis points out that "perceived perfection is not a characteristic of science, but of dogma" and envisions how governments can promote a standard of openness in science.
Retractions of scientific papers have recently been in the spotlight. Unfortunately, the interpretation of statistics about them is often flawed. Evidence suggests that retractions have grown not because of rising misconduct, but because scientists have become more aware of and responsive against fraudulent and flawed research.