The phrase "ability to generate data" is correct and usable in written English.
You can use it when discussing someone's or something's capacity to produce or create data, often in a technical or analytical context.
Example: "The new software has the ability to generate data that can help us make informed decisions."
Alternatives: "capacity to produce data" or "capability to create data".
Now, thanks to Big Data, the ability to generate data is pretty well limitless.
If you run a business, its future depends on your ability to generate data about its activities, data that can then be fed into algorithms.
To facilitate broad use, including in a clinical setting, the ability to generate data from formalin-fixed, paraffin-embedded (FFPE) tissues is essential.
And eventually, it wants to generate revenue through business-level features, like support for connecting with CRM systems, or the ability to generate data that could help recruiters or hiring managers find in-demand professionals.
7) Visualisation: the ability to generate data and process outputs in a user-friendly i.e. understandable from a user perspective by using various Graphical User Interface (GUI) tools and techniques such as 2D/3D models (e.g. OGC Web 3D Service - W3DS proposal), simulations and maps for various platforms such as web and smartphones using OGC Web Map Service standard.
That means we need to make sure that our data-reporting standards keep up with our ability to generate data.
Yet in many cases the required efforts to document, check and preserve all these data lag behind researchers' ability to generate the data in the first place [ 10].
"Our capacity to generate data is outstripping our ability to interpret it in ways that are useful to physicians and patients," the University of Washington researchers wrote their paper.
Informed commentators have suggested that gene expression technologies have failed to live up to their promise of providing molecular and systems-level explanations of biological phenomena, because the ability to extract meaning from the data is poorer than the ability to generate the data in the first place.
Interpretation of genomic data lags well behind the current ability to generate that data.
However, as was clearly pointed out by the National Research Council NRCC, 2006), "In spite of its [human biomonitoring] potential, tremendous challenges surround the use of biomonitoring, and our ability to generate biomonitoring data has exceeded our ability to interpret what the data mean to public health".
