@@ -37,4 +37,5 @@ Reproducibility issues (in calculation, in data acquisition and representation..
On data publication (=transparency):
1. calculation errors: transparency leads to better cross-checking = help from other researchers.
2.
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2. publicly available data and methods' decriptions lead to more quotation and popularity within the scientific community (respected intellectual property).
3. sensitive data should be respected (ethical dimension): encryption with limited access.
