The phrase "ability to interpret data" is correct and usable in written English.
You can use it when discussing someone's skills or competencies related to understanding and analyzing data.
Example: "In today's data-driven world, having the ability to interpret data is essential for making informed decisions."
Alternatives: "skill in data interpretation" or "capability to analyze data".
Experimental design regarding sample location, controls, analytical measurements, and the ability to interpret data within the contexts of natural and anthropogenic processes are critically important for this burgeoning field that is in dire need of answers.
The ability to interpret data or replicate results typically also requires knowledge of the research or test method employed.
Presently, our ability to interpret data on ABCG2 mutations in terms of a structural model is very limited [ 11].
Although mathematics is often abstract, QL is contextualized and refers to the ability to interpret data and to reason with numbers within "real-world" situations (Steen, 2004).
This finding complements a recent report by Hoskins et al. (2011), which shows that guided literature explorations increase students' overall confidence in their ability to interpret data.
They showed that members of the faculty think that it is important for undergraduate science students to acquire skills such as the ability to interpret data, write reports, and critically analyze research articles.
While student self-reporting can be useful if one is interested in affective measures such as confidence or interest, it is not as effective at determining students' abilities to interpret data or how similar their thinking processes are to expert scientists.
Although both the DST report and training DVD were effective in improving ability of clinicians to interpret data, the combination of the two tools was superior.
The preliminary use of Figure Facts in the classroom was successful in that students shifted their focus from the text of the articles to the data figures, improved their ability to interpret complex data sets, and experienced reduced frustration and anxiety with regard to reading primary literature.
Ultimately, the success of a toxicogenomics approach in drug development depends on our ability to interpret the data in relation to existing information (e.g., screening of a drug-induced gene expression fingerprint against a database containing drug-related gene expression toxicity profiles).
Having wider coverage enhances the chances of having data at interesting places; having denser coverage enhances the ability to interpret the data.
