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Dear Christopher
thanks for your answer, it helps me to understand
sure my question is not the good one:
so I try again: why now we need to merge (join) agri data from different
To join we need that part of the data are shared (pivot de
jointure)…and we need to understand the data, share the data schema
and its documentation.
sure the merging implies that we can not reuse the data as it…some
data are unmergeable, because not understandable… and some data are
mergeable based on transformations…the transformation provides links
to the  pivot de jointure… the linkage may fails some parts. So what
is the quality of the merging results.
merging is needed to have a global view + a local and complete view .
global view is needed for climatic changes…
local view is needed for better decision system  and traceability.
sharing some data (pivot de jointure + data schema) will improve the
quality of the merging results…