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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]
Minimum information standards typically have two parts. Firstly, there is a set of reporting requirements – typically presented as a table or a checklist. Secondly, there is a data format. Information about an experiment needs to be converted into the appropriate data format for it to be submitted to the relevant database.
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 ...
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.
Science fair display boards are required to follow published guidelines. Board contents include Project Title, Abstract, Question, Hypothesis, Background, Research, Materials, Procedure, Results, Conclusion and Future Directions.
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.
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The document includes a succinct set of practical guidelines explaining how to write complete, concise and clear manuscripts. [5] It is supplemented with a list for further reading as well as several short appendices (Abstracts; Ambiguity; Cohesion; Ethics; Plurals; Simplicity; Spelling; Text-tables) that present selected issues in greater detail or provide more examples.