Data Generation for Regulatory Agencies : A Collaborative Approach /

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 reg...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Barnekow, David E., editor 645629, Krolski, Michael E., editor 645630
Μορφή: software, multimedia
Γλώσσα:eng
Έκδοση: Washington, DC : American Chemical Society, 2021
Θέματα:
Διαθέσιμο Online:https://pubs.acs.org/doi/book/10.1021/bk-2021-1384
Περιγραφή
Περίληψη: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.