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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]
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.
All data tables need a table caption that succinctly describes what the table is about. [WCAG 2] It plays the role of a table heading, and is recommended as a best practice. [2] You would usually need some kind of heading or description introducing a new table anyway, and this is what the caption feature exists for. Table captions are made with |+.
Please note that meeting the NFC does not require the use of these templates, as long as the description on the file page addresses all 10 criteria outlined by the NFC. The template {{ Non-free use rationale }} facilitates both adding essential metadata and creating a use rationale with the necessary components.
Data sharing on public repositories has contributed to mitigating preservation risks due to the long-term commitment of data infrastructures and the potential redundancy of open data. A 2021 study of 50,000 data availability statements published in PLOS One showed that 80% of the dataset could be retrieved automatically, and 98% of the dataset ...
Its executive director, Shawn Carlson, Ph.D., was a physicist and established science writer who had left academe a year earlier to devote his career to advancing amateur science. Dr. Carlson took over the column in November of that year and immediately returned its focus to cutting-edge science projects that amateurs can do inexpensively at home.
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Note that a summary is not needed in most of Wikipedia's tables. The summary is useful when the table has a complex structure (for example, when there are several sets of row or column headers, or when there are multiple groups of columns or rows). The summary may also be helpful for simple data tables that contain many columns or rows of data.