Abstract
The term “big data” has often been used as an all-encompassing phrase for research that involves the use of large-scale data sets. However, the use of the term does little to signify the underlying complexity of definitions, of data sets, and of the requirements that need to be taken into consideration for sustainable research and the estimation of downstream impact. In particular, “big data” is frequently connected with biobanks and biobank networks as the institutions involved in tissue preservation are increasingly and perhaps unavoidably linked to the de facto preservation of information.
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