The phrase "aggregations of data" is correct and usable in written English.
It can be used when referring to collections or groupings of data that have been compiled or organized for analysis or reporting.
Example: "The research team analyzed the aggregations of data collected from various sources to identify trends."
Alternatives: "data collections" or "data clusters".
I extended this to plot aggregations of data in two and three dimensions.
As we move toward the fourth paradigm [4], where large aggregations of data are the key to discovery, it is imperative that the context of the data are articulated completely (or as completely as possible), not only to identify it's origin and authenticity, but more importantly to allow the data to be located correctly on the "scientific data map".
Furthermore the NcML dataset is a tool for describing "virtual netCDF" files that may be aggregations of data from several existing netCDF files, or it can represent a target dataset to be created by transforming existing netCDF files into a new form described in the NcML language.
The product of the synthesis is not aggregations of data, but theory grounded in the studies included in the review.
Aggregations of data stored in PCHRs may provide a vital new source of public health information if patients consent to sharing their data.
In the "anomaly" approach, the data analysis is aggregation of data, but these aggregated data are related to its external field and their pressures and influences by structuration to reconstruct the theory.
A head node is the leader of its group, with the primary responsibility of collection and aggregation of data from its cluster, and transmission of the aggregated data to the sink.
And there are broader issues, especially to do with the aggregation of data and the handling of uncertainty, where his book is open to challenge.
However, aggregation of data brings other advantages as well.
In these studies longitudinal data were created by aggregation of data to the country level.
This aggregation of data provided rich material for future analysis, particularly when tracking several cohort experiences.
