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Scientometrics is a subfield of informetrics that studies quantitative aspects of scholarly literature.Major research issues include the measurement of the impact of research papers and academic journals, the understanding of scientific citations, and the use of such measurements in policy and management contexts. [1]
Analysis refers to dividing a whole into its separate components for individual examination. [10] Data analysis is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users. [1] Data is collected and analyzed to answer questions, test hypotheses, or disprove theories. [11]
Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5] It uses techniques and theories drawn from many fields within the context of mathematics , statistics, computer science , information science , and domain knowledge . [ 6 ]
Multilteracy is the concept of understanding information through various methods of communication and being proficient in those methods. With the growth of technology, there are more ways to communicate than ever before, making it necessary for our definition of literacy to change in order to better accommodate these new technologies.
The term "methodology" is sometimes used as a synonym for the term "method". A method is a way of reaching some predefined goal. [6] [7] [8] It is a planned and structured procedure for solving a theoretical or practical problem. In this regard, methods stand in contrast to free and unstructured approaches to problem-solving. [7]
A book of synonyms, often also containing antonyms. An example is Roget's Thesaurus. In database searching, a thesaurus strategy is to use multiple iterations to search for related words and generate result. The database will often suggest synonyms and related words to try. [13] Truncation The shortening of a search word, field, or record.
Information fusion, which is a related term, involves the combination of information into a new set of information towards reducing redundancy and uncertainty. [1] Examples of technologies available to integrate information include deduplication, and string metrics which allow the detection of similar text in different data sources by fuzzy ...
The history of computational thinking as a concept dates back at least to the 1950s but most ideas are much older. [6] [3] Computational thinking involves ideas like abstraction, data representation, and logically organizing data, which are also prevalent in other kinds of thinking, such as scientific thinking, engineering thinking, systems thinking, design thinking, model-based thinking, and ...