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The phrase "availability and robustness of data" is correct and usable in written English.
It can be used when discussing the accessibility and reliability of data in various contexts, such as research, data analysis, or information management.
Example: "The success of our project depends on the availability and robustness of data collected from various sources."
Alternatives: "accessibility and reliability of data" or "data accessibility and strength".
Exact(1)
Subject to the availability and robustness of data, these estimates will provide a level of geographic analysis to a state level (for smaller Australian states and territories) and at a regional level for larger Australian states.
Similar(59)
However, not all of these assay formats are suitable for high-throughput screening (HTS) caused by factors such as cost, safety (radioactive waste disposal), assay stability and robustness, equipment availability, and quality of data produced.
Efforts were made to reduce observer bias and ensure robustness of data as discussed below.
But when looking at funding, and resources beyond humanitarian assistance, the availability and quality of data is also a challenge.
Availability and accessibility of data at any time and anywhere.
To evaluate the consistency and robustness of NAF-derived data further markers were measured or selected from our MS data.
These results confirm the general validity and robustness of the microarray data we present here.
To provide such high-capacity network channels, data center interconnection is typically based on Flexi-Grid optical networks that ensure the performance guarantee of low delay, high availability and robustness at a low cost.
–Should availability and robustness be dependent on systems, software and services provided by third parties?
In the clinical setting we prefer the MAP approach, based on simplicity, availability and robustness.
Study strengths include the use of height/weight data for BMI, a representative sample from a well-established U.S. total joint registry, availability of electronically captured data for more than a decade and robustness of our findings across several sensitivity models (age-adjusted vs. age- and sex-adjusted vs. age, sex- and comorbidity-adjusted models).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com