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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]
The Research Organization for Life Sciences and Environment (Indonesian: Organisasi Riset Ilmu Pengetahuan Hayati dan Lingkungan, ORIPHL but also known as ORHL) is one of Research Organizations under the umbrella of the National Research and Innovation Agency (Badan Riset dan Inovasi Nasional, BRIN).
On 5 May 2021, Joko Widodo signed Presidential Decree No. 33/2021, effectively establishing BRIN as the sole national research agency and decreeing that all Indonesian national research agencies—such as the Indonesian Institute of Sciences (LIPI), the Agency for the Assessment and Application of Technology [] (BPPT), the National Nuclear Energy Agency of Indonesia [] (BATAN), and the ...
Open science is the movement to make scientific research (including publications, data, physical samples, and software) and its dissemination accessible to all levels of society, amateur or professional.
Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information. [1] Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text ...
Data integration refers to the process of combining, sharing, or synchronizing data from multiple sources to provide users with a unified view. [1] There are a wide range of possible applications for data integration, from commercial (such as when a business merges multiple databases) to scientific (combining research data from different bioinformatics repositories).
Scientific Data is a peer-reviewed open access scientific journal published by Nature Research since 2014. [1] It focuses on descriptions of data sets relevant to the natural sciences , medicine , engineering and social sciences , [ 2 ] which are provided as machine-readable data , complemented with a human oriented narrative.
Before data mining algorithms can be used, a target data set must be assembled. As data mining can only uncover patterns actually present in the data, the target data set must be large enough to contain these patterns while remaining concise enough to be mined within an acceptable time limit. A common source for data is a data mart or data ...