Some of the most frustrating problems are trivially technical. Many of the available (free) data-archiving services, such as Figshare, Zenodo and Dataverse, place a limit on the maximum size of individual files that can be uploaded even though they don’t limit the overall size of an uploaded archive. In some areas of psychology very large files are routinely acquired, such as videos or neuroimaging data sets, and arbitrary file size limits are an unnecessary deterrent to sharing. Even with such barriers removed, there is no escaping the fact that archiving data and code in a form that others can comprehend requires a much greater investment of time than researchers are accustomed to spending. Among all the commodities in science, staff time is among the most expensive, so a commitment to data sharing will need to be recognized and supported by both funders and academic institutions.