Abstract
This paper reviews general problems appearing in collecting, categorization, and certification of numerical properties data for nanoscale objects. It is shown how their peculiar physical properties affect preparation of the data at the preliminary stage before moving to detailed data base design. As an example, the properties data of carbon nanoforms (nanotubes, graphene, etc) are presented. The key features of the nanosized data are revealed, such as: permanent variations of the properties nomenclature, dimensional effect, and high level of the data uncertainty. The procedure is proposed for data certification taking into account quantitative statement of uncertainty as well as quality indicators. The former present the completeness of the description both of an object and a method as well the result reproducibility.
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