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A science fair or engineering fair is an event hosted by a school that offers students the opportunity to experience the practices of science and engineering for themselves. In the United States, the Next Generation Science Standards makes experiencing the practices of science and engineering one of the three pillars of science education.
An introduction to FAIR data and persistent identifiers. FAIR data is data which meets the FAIR principles of findability, accessibility, interoperability, and reusability (FAIR). [1] [2] The acronym and principles were defined in a March 2016 paper in the journal Scientific Data by a consortium of scientists and organizations. [1]
Empirical studies of data practices in research have "highlighted the need for organizations to offer more formal training and assistance in data management to scientists" [132] In a 2017-2018 international survey of 1372 scientist, most requests for help and formalization were associated with data management plan: "creating data management ...
The Google Science Fair was a worldwide (excluding Cuba, Iran, North Korea, Sudan, Myanmar/Burma, Syria, Zimbabwe and any other U.S. sanctioned country [1]) online science competition sponsored by Google, Lego, Virgin Galactic, National Geographic and Scientific American. [2] [3] [4] It was an annual event spanning the years 2011 through 2018.
CODATA supports the Data Science Journal [6] and collaborates on major data conferences like SciDataCon [7] and International Data Week. [8]In October 2020 CODATA is co-organising an International FAIR Symposium [9] together with the GO FAIR initiative to provide a forum for advancing international and cross-domain convergence around FAIR.
The fair is fed by 28 regional science fairs, each of which is allocated a number of projects based on prior history of producing winning entries. The allocation in 2009 was 908 projects, an average of 24.7 projects per million population. [1] Awards are given in several categories at both junior (grades 6–8) and senior (grades 8–12) levels.
The name MASTERS is an acronym for Math, Applied Science, Technology, & Engineering for Rising Stars. [3] Each year, the top 10% of students from certain SSP-affiliated regional and state science fairs across the nation are eligible for entry in the Broadcom MASTERS competition. [4]
Neither the data collection, data preparation, nor result interpretation and reporting is part of the data mining step, although they do belong to the overall KDD process as additional steps. The difference between data analysis and data mining is that data analysis is used to test models and hypotheses on the dataset, e.g., analyzing the ...