The phrase "availability validation" is correct and usable in written English.
It can be used in contexts where you need to confirm or check the availability of a resource, service, or item.
Example: "Before proceeding with the booking, we need to conduct an availability validation to ensure the room is free."
Alternatives: "availability check" or "availability confirmation".
However, the most common support systems used today still have "uneven availability and validation," Stubblebine said in a blog post today, and people suffer from too much choice.
"Data availability allows validation, replication, reanalysis, new analysis, reinterpretation, or inclusion into meta-analyses, and facilitates reproducibility of research," PLOS editors wrote, adding that sharing would provide "better 'bang for the buck' " from scientific research.
However, whilst a variety of positive results have been published, some strong criticisms of socially generated predictions have also been raised, particularly in the field of electoral prediction (which, perhaps because of the widespread availability of validation data or because of its importance for conventional opinion polling has been the most frequent application of this type of prediction).
Availability and validation of such devices will render intensive insulin therapy easier and safer.
Pharmacogenetic studies are often hampered by small sample sizes and limited availability of validation studies with eligibility criteria and treatment regimen similar to the discovery study.
While most valvular lesions seen by echocardiography can be assessed by CMR, echocardiography has the advantages of widespread availability and validation.
While somewhat limited by clinical data availability, these validation efforts confirm that the quantitative representation of critical elements of the model including PCSK9 and LDLc cross-regulation, statin and anti-PCSK9 effects, and interactions between the drugs, are consistent with available clinical data.
Data availability for a validation on a more detailed geographical level is problematic.
The challenges associated with data availability and model validation are also discussed.
The availability of internal validation in our study allows us to examine the issue of differential measurement error in more detail.
