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An international database for pesticide risk assessments and management

Lewis, Kathleen A. ; Tzilivakis, John ; Warner, Douglas J. ; Green, Andrew

Human and ecological risk assessment, 2016-05, Vol.22 (4), p.1050-1064 [Periódico revisado por pares]

Boca Raton: Taylor & Francis

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  • Título:
    An international database for pesticide risk assessments and management
  • Autor: Lewis, Kathleen A. ; Tzilivakis, John ; Warner, Douglas J. ; Green, Andrew
  • Assuntos: Collating ; data model ; Data retrieval ; environmental fate ; Environmental health ; Environmental impact ; Human ; Mathematical models ; Pesticides ; Risk assessment ; risk assessments ; Risk management ; Websites
  • É parte de: Human and ecological risk assessment, 2016-05, Vol.22 (4), p.1050-1064
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
    content type line 23
  • Descrição: Despite a changing world in terms of data sharing, availability, and transparency, there are still major resource issues associated with collating datasets that will satisfy the requirements of comprehensive pesticide risk assessments, especially those undertaken at a regional or national scale. In 1996, a long-term project was initiated to begin collating and formatting pesticide data to eventually create a free-to-all repository of data that would provide a comprehensive transparent, harmonized, and managed extensive dataset for all types of pesticide risk assessments. Over the last 20 years, this database has been keeping pace with improving risk assessments, their associated data requirements, and the needs and expectations of database end users. In 2007, the Pesticide Properties DataBase (PPDB) was launched as a free-to-access website. Currently, the PPDB holds data for almost 2300 pesticide active substances and over 700 metabolites. For each substance around 300 parameters are stored, covering human health, environmental quality, and biodiversity risk assessments. With the approach of the twentieth anniversary of the database, this article seeks to elucidate the current data model, data sources, its validation, and quality control processes and describes a number of existing risk assessment applications that depend upon it.
  • Editor: Boca Raton: Taylor & Francis
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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