The phrase "adoption data" is correct and usable in written English.
It can be used when referring to information or statistics related to the process of adoption, such as the number of adoptions, demographics of adoptive families, or trends over time.
Example: "The adoption data from the past year shows a significant increase in international adoptions."
Alternatives: "adoption statistics" or "adoption information".
Adoption data: whether or not your work has some involvement with children in care, the media coverage will have caught your eye this week.
His work focuses on the relationship between digital convergence and cultural production, and has recently included research on broadband adoption, data policy, and media piracy.
However, adoption data are also presented, and by the end of the 1990s, nearly all pulp production in these countries used one of these technologies.
To facilitate prioritising designs for adoption, data were collected on the relative performances of single and multiple round (64-mm diameter), rectangular (33 × 120 mm) and square (50 × 50 mm) escape gaps across three fishing operations.
This self-reported adoption data is again confirmed by classroom observations, which resulted in a striking increase in student-centered COPUS profiles (peer instruction, 45%%).
MacRumours, which noted Apple had updated its official iOS 8 adoption figures earlier, points out that Apple's officially reported rate of adoption is similar to adoption data from Mixpanel.
Studies show that families back out in 10percentto25percentcent of domestic adoptions; data is unavailable for international adoptions.
A central resource for cities, Data-Smart City Solutions helps catalyze adoption of data projects on the local government level.
The program also serves to complement much of the work that the Center's Data-Smart City Solutions project has done to catalyze adoption of data projects on the local government level by highlighting best practices, innovators, and promising case studies.
Adoption of data standards during the early planning stages of a clinical study will ensure uniformity of the data that will be later acquired and reduce errors that can stem from post-hoc efforts to harmonize and convert data.
The models face numerous challenges before they will be ready for widespread adoption, primarily data gaps.
