Trustworthy data underpin reproducible research

Autor:	Martin J. T. Milton, Antonio Possolo
Rok vydání:	2020
Předmět:	Physics Trustworthiness Scientific progress 0103 physical sciences SIGNAL (programming language) General Physics and Astronomy 010306 general physics 01 natural sciences Data science 010305 fluids & plasmas
Zdroj:	Nature Physics. 16:117-119
ISSN:	1745-2481 1745-2473
DOI:	10.1038/s41567-019-0780-5
Popis:	Lack of reproducibility is not necessarily bad news; it may herald new discoveries and signal scientific progress.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::670376596fde301e679ff7409c14e9cc https://doi.org/10.1038/s41567-019-0780-5 Zobrazit plný text záznamu Full text from SpringerLink