The phrase "academic data such as" is correct and usable in written English.
You can use it when introducing examples of academic data in a discussion or analysis.
Example: "The study analyzed various types of academic data such as test scores, attendance records, and demographic information."
Alternatives: "scholarly information like" or "educational data including".
There was no assessment of this during the study as there was a lack of contextual data such as academic ability to perform a meaningful analysis.
Academics who rely on census data, such as Danny Dorling, a demographer at the University of Sheffield, fear that the government is determined to scrap the census no matter what.Much of the demand for local data has disappeared along with the supply: many councils have sacked their analysts, preferring to protect front-line workers.
No personal data, such as name of the academics or affiliations were collected in the survey as a measure to protect personal information.
For instance, the University of Wollongong established Library Cube, a tailored database which joins library usage data with student data such as demographic characteristics and students' academic performance) to predict the students' grades (Jantti & Cox, 2013).
We deal with a lot of unstructured data such as medical images, images or videos in academic research, journal papers, books, and so on.
This may mean that unpublished data, such as in government reports, pharmaceutical company reports, and academic theses, were not identified by the literature search.
All of this information is represented in a variety of different formats ranging from unstructured data such as texts and images in published technical reports and academic articles to semi-structured data such as tables and key delimited records and structured data such as database entries, and XML files.
Communities for a Better Environment (CBE) is a long-established organization whose research using secondary data (such as oil refinery emissions, for example) was well-known to academic institutions and government agencies.
Academics at the University of Dundee believe social media can be "mined" to predict an urban flood days in advance, amid concern that conventional sources of flood data such as insurance reports and satellite monitoring provide patchy analysis.
