When it comes to the careful archiving and provision of older data, sufficient storage capacity has to be maintained so as to avoid losing data if not erasing it entirely. This applies in particular to climate-related observations, which should also be stored for a period of more than ten years if possible. Model simulations of complex systems generate very large quantities of data, so ideally the necessary extensive data servers should be set up and operated on a permanent basis.<\/p>\n\n\n\n
Data should preferably be stored in repositories and be identifiable by means of a Digital Object Identifier<\/em> (DOI). In order to reproduce results, it is sufficient to store basic data and the processing chain (software programmes) that builds on it. The internet platform re3data (Registry of Research Data Repositories) can be used to find a suitable repository, for example. The Integrated Climate Data Center<\/em> (ICDC) at the University of Hamburg can be named as an example here: it provides easy access to climate-related observation data from in-situ measurements and satellite remote sensing. Another instance is the platform PANGAEA (Data Publisher for Earth and Environmental Science), where data can be archived and published in the earth sciences and environmental sciences.<\/p>\n\n\n
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