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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]
On February 18, 2015, the White House announced Patil would be the first U.S. Chief Data Scientist (Deputy Chief Technology Officer for Data Policy and Chief Data Scientist). In addresses to the public, Patil explained: "The mission of the U.S. Chief Data Scientist, simply put, is to responsibly unleash the power of data to benefit all Americans."
The focus is on innovative research in data mining, knowledge discovery, and large-scale data analytics. Papers emphasizing theoretical foundations are particularly encouraged, as are novel modeling and algorithmic approaches to specific data mining problems in scientific, business, medical, and engineering applications.
A data architect is a practitioner of data architecture, a data management discipline concerned with designing, creating, deploying and managing an organization's data architecture. Data architects define how the data will be stored, consumed, integrated and managed by different data entities and IT systems, as well as any applications using or ...
The initiative was announced at a White House Office of Science and Technology Policy event to highlight and promote advances in data-driven scientific discovery, and is a core component of the National Science Foundation's strategic plan for building national capacity in data science. [8] [9] [10]
Male naturalists worried that their job would be seen as effeminate, instead of, as one put it, “the embodiment of Kit Carson, Daniel Boone, the Texas Rangers, and General Pershing.” In the 1930s and ‘40s the ranks were mostly filled by returning veterans attracted by the ranger corps’ quasi-military culture.