Data Generation for Regulatory Agencies: A Collaborative Approach

By David E Barnekow and Michael E Krolski

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.

• Format: Hardcover
• Language: English
• ISBN: 0841298297
• ISBN13: 9780841298293
• Release Date: April 2022
• Publisher: American Chemical Society
• Length: 188 Pages
• Weight: 1.25 lbs.
• Dimensions: 0.6" x 6.9" x 9.6"