The phrase "academic data" is correct and usable in written English.
It can be used when referring to information or statistics related to education, research, or scholarly activities.
Example: "The study analyzed academic data from various universities to assess the impact of online learning."
Alternatives: "educational data" or "scholarly data".
"I think the same arguments were made when we first started collecting academic data," he said.
The state can be seen as a laboratory for the nation because it alone has long-term academic data.
"We take a lot of academic data and try to distill it down to main ideas, and decide how those ideas played out.
@cjmoneill Tom is a co-founder of Ubiquity Press, a researcher-led publisher seeking to incentivise and reward the sharing of academic data and software.
In January the White House announced that it would work with Personal and several other companies to allow students to download their academic data from federal databases and store it in a data locker.
Because the school is new, teaching 120 children in each of the 9th and 10th grades, Department of Education officials have no academic data about the school or any evaluations except for one visit that officials made last spring.
A less well-known paper, "The future of employment: how susceptible are jobs to computerization?," was published less than a year later by two Oxford academics (data scientists, perhaps).
Rutger Plak, a senior digital forensics expert at Dutch security firm Fox-IT, told me that he and his colleagues performed some non-academic data erasure tests on SSDs to see if they could be used internally for their work instead of HDDs for example for collecting evidence from customer machines during digital forensics and incident response engagements.
We also collected suggestions for requirements from academic libraries, data centers, data managers, and other data professionals, although this collection was less structured and more anecdotal.
Unfortunately, the very few resilience measurement frameworks that are available are often too "academics", data-demanding, and therefore poorly adapted to the reality faced by practitioners on the ground.
Descriptive statistics and frequency distributions of the academic performance data are presented in tables and graphs for easy data interpretations.
