SHARP-Indicators Database towards a public database for environmental sustainability

Elly Mertens*, Gerdine Kaptijn, Anneleen Kuijsten, Hannah van Zanten, Johanna M. Geleijnse, Pieter van 't Veer

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

29 Citations (Scopus)

Abstract

To initiate the achievement of an European-wide applicable public database for indicators of environmental sustainability of the diet, we developed the SHARP Indicators Database (SHARP-ID). A comprehensive description of the development of the SHARP-ID is provided in this article. In the SHARP-ID, environmental impact assessment was based on attributional life cycle analyses using environmental indicators greenhouse gas emission (GHGE) and land use (LU). Life cycle inventory data of 182 primary products were combined with data on production, trade and transport, and adjusted for consumption amount using conversions factors for production, edible portion, cooking losses and gains, and for food losses and waste in order to derive estimates of GHGE and LU for the foods as eaten. Extrapolations based on similarities in type of food, production system and ingredient composition were made to obtain estimates of GHGE and LU per kg of food as eaten for 944 food items coded with a unique FoodEx2-code of EFSA and consumed in four European countries, i.e. Denmark, Czech Republic, Italy and France. This LCA-food-item database can be linked to food intake data collected at the individual level in order to calculate the environmental impact of individual's diets. The application of this database to European survey data is described in an original research article entitled “Dietary choices and environmental impact in four European countries” (Mertens et al., 2019).

Original languageEnglish
Article number104617
JournalData in Brief
Volume27
DOIs
Publication statusPublished - Dec 2019

Keywords

  • Diet
  • Environment
  • Europe
  • Food
  • Greenhouse gas emission (GHGE)
  • Land use (LU)
  • Life cycle analyses (LCA)

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