
pmid: 16340010
Due to the large number of chemicals for which toxicological and ecotoxicological information is lacking, priority setting for data acquisition is a major concern in chemicals regulation. In the current European system, two administrative priority-setting criteria are used, namely novelty (i.e., time of market introduction) and production volume. In the proposed Registration, Evaluation, Authorisation and Restriction of Chemicals (REACH) system, the novelty criterion is no longer used, and production volume will be the main priority-setting criterion for testing requirements, supplemented in some cases with hazard indications obtained from QSAR modelling. This system for priority setting has severe weaknesses. In this paper we propose that a multicriteria system should be developed that includes at least three additional criteria: chemical properties, results from initial testing in a tiered system, and voluntary testing for which efficient incentives can be created. Toxicological and decision-theoretical research is needed to design testing systems with validated priority-setting mechanisms.
Chemical Industry, Decision Making, Toxicity Tests, Government Regulation, European Union, Toxicology, Risk Assessment
Chemical Industry, Decision Making, Toxicity Tests, Government Regulation, European Union, Toxicology, Risk Assessment
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 17 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
