Be the first to like this
Mark Parsons, Lead Project Manager, Senior Associate Scientist, National Snow and Ice Data Center
Data citation, especially using persistent identifiers like Digital Object Identifiers (DOIs), is an increasingly accepted scientific practice. Recently, several, respected organizations have developed guidelines for data citation. The different guidelines are largely congruent in that they agree on the basic practice and elements of data citation, especially for relatively static, whole data collections. There is less agreement on the more subtle nuances of data citation that are sometimes necessary to ensure precise reference and scientific reproducibility--the core purpose of data citation. We need to be sure that if you follow a data reference you get to the precise data that were used or at least their scientific equivalent. Identifiers such as DOIs are necessary but not sufficient for the precise, detailed, references necessary. This talk discusses issues around data set versioning, micro-citation, and scientific equivalence. I propose some interim solutions and suggest research strategies for the future.