Data generation for regulatory agencies : a collaborative approach
著者
書誌事項
Data generation for regulatory agencies : a collaborative approach
（ACS symposium series, 1384）
Oxford University Press, 2022
- hbk.
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注記
Includes bibliographical references and index
Also available online
内容説明・目次
内容説明
How to create a common dataset from diverse stakeholders
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 addressing these problems is for the regulated community to collaborate to generate a common dataset. This work highlights the formation, operation, and data submission of task forces along with the use of
the submitted data by regulators evaluating individual products. Scientists and regulators assessing risks will find this work helpful.
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