Data generation for regulatory agencies: a collaborative approach /

"Data generation for regulatory decision making, particularly for risk assessment purposes, has become both complicated and expensive. Data are often generated by different submitters, using different protocols and methodology, which makes regulatory decision making difficult. One approach to a...

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Bibliographic Details

Other Authors:	Barnekow, David E. (Editor), Krolski, Michael E. (Editor)
Format:	eBook
Language:	English
Published:	Washington, DC : American Chemical Society, [2021]
Series:	ACS symposium series ; 1384.
Subjects:	Data curation. Electronic data processing. Data sets. Administrative agencies. Data Curation Datasets as Topic Édition de contenu. Jeux de données. Administration publique. Approche collaborative. Administrative agencies Data curation Data sets Electronic data processing Electronic books.
Online Access:	Connect to the full text of this electronic book