10.15497/RDA00044
Schubert, Chris
Chris
Schubert
Dynamic Data Citation for frequently modifying High Resolution Climate Data
Research Data Alliance
2019
The Climate Change Centre Austria (CCCA) Data Centre expected a comprehensive project outcome of completely new simulated High Resolution Climate Scenarios for Austria in the time range from 1965 till 2100 on a daily basis. For consumption, 13 model runs, 5 meteorological parameters like temperature, 3 emission scenarios, over 1600 NetCDF files with an average size of 13 GB were calculated. How could we implement proper data management processes on such data packages? We were looking for best practices on persistent identifiers and sub-setting tools for such big data containers. By chance, I met members of the RDA Data Citation Working Group. The idea of using the RDA recommendation on dynamic data citation as a pilot “NetCDF Pilot Implementation of Climate Scenarios” was born.