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Following the data model, in principle the granularity of a data contribution is defined as one to many data sets per event. The definition of the granularity depends on the scientific field, the topology of a usefull data set and its size. The size should allow a download over the Internet in an acceptable time. A set might consist of e.g. all parameters belonging to one analysis or method or category.

Data entities are structered in a hierarchical tree. Starting from a

  1. single analytical value, data are mostly organized in sequences with an (increasing) geocode in space (e.g. depth) or relative/absolute time. Such a sequence of one to many data points forms a
  2. data series, described by one parameter with relations to event, method, PI and an optional comment. One to several data series are forming a
  3. data set which is the major data granule in the archive; data are imported in data sets and are provided on the Internet in a similar configuration. Data sets have relations to authors (staff) and references and are citable. One to many data sets may be grouped to a
  4. collection to form an overall entity. The collection has an official bibliographic citation and is added to the TIB library catalog GetInfo.

Examples of typical data set granules are: