Principles and best practices in data versioning for all data sets big and small
« The demand for better reproducibility of research results is growing. More and more data is becoming available online. In some cases, the datasets have become so large that downloading the data is no longer feasible. Data can also be offered through web services and accessed on demand. This means that parts of the data are accessed at a remote source when needed. In this scenario, it will become increasingly important for a researcher to be able to cite the exact extract of the data set that was used to underpin their research publication. However, while the means to identify datasets using persistent identifiers have been in place for more than a decade, systematic data versioning practices are currently not available. (…) »
