Data without Peer: Examples of Data Peer Review in the Earth Sciences

Peer review of data is an important process if data is to take its place as a first class research output. Much has been written about the theoretical aspects of peer review, but not as much about the actual process of doing it. This paper takes an experimental view, and selects seven datasets, all from the Earth Sciences and with DOIs from DataCite, and attempts to review them, with varying levels of success. Key issues identified from these case studies include the necessity of human readable metadata, accessibility of datasets, and permanence of links to and accessibility of metadata stored in other locations.