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Multimethodology or multimethod research includes the use of more than one method of data collection or research in a research study or set of related studies.Mixed methods research is more specific in that it includes the mixing of qualitative and quantitative data, methods, methodologies, and/or paradigms in a research study or set of related studies.
Academic journal editors were banning unqualified FRIN statements as early as 1990, requiring more specific information such as what types of research were needed, and what questions they ought to address. [1] Researchers themselves have strongly recommended that research articles detail what research is needed. [8] [2] This is conventional in ...
Importantly, data harvested into RN tools can be repurposed, especially if available as Linked Open Data (RDF triples). These RN tools enhance research support activities by providing data for customized, web pages, CV/biosketch generation and data tables for grant proposals.
An alternative data set can be compiled from various sources such as financial transactions, sensors, mobile devices, satellites, public records, and the internet. [3] [8] [9] [10] Alternative data can be compared with data that is traditionally used by investment companies such as investor presentations, SEC filings, and press releases. [11]
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] Statistician John Tukey, defined data analysis in 1961, as:
The specific use cases and characteristics is an active research field in bibliometrics, providing much needed data to measure the impact of altmetrics itself. Public Library of Science has an Altmetrics Collection [ 65 ] and both the Information Standards Quarterly and the Aslib Journal of Information Management recently published special ...
In the social sciences, triangulation refers to the application and combination of several research methods in the study of the same phenomenon. [1] By combining multiple observers, theories, methods, and empirical materials, researchers hope to overcome the weakness or intrinsic biases and the problems that come from single method, single-observer, and single-theory studies.
Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [ 4 ] Data science is "a concept to unify statistics , data analysis , informatics , and their related methods " to "understand and analyze actual phenomena " with data . [ 5 ]