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We report the 2022 self-consistent values of constants and conversion factors of physics and chemistry recommended by the Committee on Data of the International Science Council (CODATA). The recommended values can also be found at physics.nist.gov/co
Externí odkaz:
http://arxiv.org/abs/2409.03787
Data types and codata types are, as the names suggest, often seen as duals of each other. However, most programming languages do not support both of them in their full generality, or if they do, they are still seen as distinct constructs with separat
Externí odkaz:
http://arxiv.org/abs/2211.13004
Autor:
John Rumble
Publikováno v:
Data Science Journal, Vol 22, Pp 13-13 (2023)
This essay discusses some of the considerations that led to the founding of the [CODATA] Data Science Journal. Three factors were most relevant to the founding. First, there was a need to have a more formal publication mechanism for the papers given
Externí odkaz:
https://doaj.org/article/a5e66b2ceed4429bb03cbae687eaa85f
Akademický článek
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Autor:
Anderson, William L.
Publikováno v:
Information Services & Use. 2002, Vol. 22 Issue 2/3, p63. 5p.
Akademický článek
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Autor:
Louise Bezuidenhout, Sara Drummond-Curtis, Bridget Walker, Hugh Shanahan, Marcela Alfaro-Córdoba
Publikováno v:
Data Science Journal, Vol 20, Iss 1 (2021)
The CODATA-RDA Schools for Research Data Science (SRDS) is a network of schools originating in the RDA in 2016. In 2019 it was recognized as an RDA output. To date, over 400 students from 40 countries have been trained in 10 schools. The majority of
Externí odkaz:
https://doaj.org/article/9c1ff330f9274844b7d99be35baecae4
Publikováno v:
Data Science Journal, Vol 22, Pp 43-43 (2023)
Recent events of global impact have led the scientific community to re-evaluate and re-affirm the role of science in crisis situations. In particular, the COVID-19 health emergency required the abrupt (re-)allocation of scientific resources to addres
Externí odkaz:
https://doaj.org/article/d5a9ce44297f48b09180fe14fb55fdfe