Summary information

Study title

Assessing Cumulative Chemical Risks and Uncertainties - International Expert Survey 2006

Creator

Assmuth, Timo (Finnish Environment Institute (SYKE))
Hildén, Mikael (Finnish Environment Institute (SYKE))
Lyytimäki, Jari (Finnish Environment Institute (SYKE))

Study number / PID

FSD2485 (FSD)

urn:nbn:fi:fsd:T-FSD2485 (URN)

10.60686/t-fsd2485 (DOI)

Data access

Restricted

Series

Individual datasets

Individual datasets that do not belong to any series.

Abstract

The survey is part of the EU-funded research project NoMiracle (Novel Methods for Risk Assessment of Cumulative Stressors in Europe) and it charted the views of experts and stakeholders on chemical-related risks, risk assessment, and risk management. First, the respondents assessed the importance and role of different types of information in legally based, formal risk management and in public debate on risks. Next, they were presented with a set of attitudinal statements related to various factors influencing the assessment of risks, such as the significance of chemical risks for people and the environment, the role of experts, stakeholders and interest groups, and the importance of various research data. The respondents also assessed risk maps describing single and cumulative risks. Finally, they were presented with statements on the clarity, interestingness, and usefulness of the cumulative graph. Background variables included the respondent's gender, age, education, and field of expertise.

Methodology

Data collection period

21/11/2006 - 08/01/2007

Country

Finland, Belgium, France, Germany, Italy, Netherlands, Denmark, Ireland, United Kingdom, Portugal, Spain, Austria, Sweden, Cyprus, Czech Republic, Estonia, Hungary, Lithuania, Poland, Slovenia, Slovakia, Bulgaria, Romania, United States, Canada, Switzerland, Norway, Iceland

Time dimension

Cross-section

Analysis unit

Individual

Universe

Experts and stakeholders acquainted with chemical risks

Sampling procedure

Non-probability: Purposive

Kind of data

Quantitative

Data collection mode

Self-administered questionnaire: Web-based (CAWI)

Access

Publisher

Finnish Social Science Data Archive

Publication year

2010

Terms of data access

The dataset is (B) available for research, teaching and study.

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