"data disaggregation" is a grammatically correct phrase and is commonly used in written English.
It refers to the process of breaking down a larger set of data into smaller, more specific categories or components. Example: "The team conducted data disaggregation to analyze consumer spending patterns across different demographics."
As part of a new $1 million grant program called the Asian American and Pacific Islander Data Disaggregation Initiative, The Department of Education is encouraging states to obtain and analyze disaggregated data on AAPI subgroups.
Many voices from across civil society have spoken in favour of greater data disaggregation and we hope the expert group will listen.
In terms of data disaggregation, firm level or field level analysis started increasing globally in resource and environmental economics field (Managi et al. 2005; Yagi et al. 2015).
The discrepancy among those results could either be due to cross-country differences in the dependence of firms on bank lending or, alternatively, to differences in the level of data disaggregation.
The classification approach has recently shown to be a suitable representative model for treating data disaggregation in which the primary task is to identify or predict multiple load usage from aggregate data.
Just passed the data disaggregation bill in Assembly!
We then provide policy recommendations to improve end-use estimates, including integrating select utility-funded audit data into disaggregation methods.
First, much larger data files allow disaggregation of crime data into temporal and spatial slices.
We propose a simple procedure for the correction of low resolution data series after disaggregation at a suitable scale, so that the assessment of the influence of systematic errors on rainfall statistics become possible.
Regarding the initial questions, the main issue is about the influence of data integration and/or disaggregation on modules.
Better data collection and disaggregation – going beyond averages such as those used to measure the MDGs – can help identify the most vulnerable and excluded children and where they live.
