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Scientific article
Open access
English

GEOEssential – mainstreaming workflows from data sources to environment policy indicators with essential variables

Published inInternational Journal of Digital Earth, vol. 13, no. 2, p. 322-338
Publication date2020
Abstract

When defining indicators on the environment, the use of existing initiatives should be a priority rather than redefining indicators each time. From an Information, Communication and Technology perspective, data interoperability and standardization are critical to improve data access and exchange as promoted by the Group on Earth Observations. GEOEssential is following an end-user driven approach by defining Essential Variables (EVs), as an intermediate value between environmental policy indicators and their appropriate data sources. From international to local scales, environmental policies and indicators are increasingly percolating down from the global to the local agendas. The scientific business processes for the generation of EVs and related indicators can be formalized in workflows specifying the necessary logical steps. To this aim, GEOEssential is developing a Virtual Laboratory the main objective of which is to instantiate conceptual workflows, which are stored in a dedicated knowledge base, generating executable workflows. To interpret and present the relevant outputs/results carried out by the different thematic workflows considered in GEOEssential (i.e. biodiversity, ecosystems, extractives, night light, and food-water-energy nexus), a Dashboard is built as a visual front-end. This is a valuable instrument to track progresses towards environmental policies.

Keywords
  • SDGs
  • Environmental policies
  • Essential variables
  • Earth observation
  • Knowledge base
  • Workflows
  • Virtual research environment
Funding
  • European Commission - The European network for observing our changing planet [689443]
Citation (ISO format)
LEHMANN, Anthony et al. GEOEssential – mainstreaming workflows from data sources to environment policy indicators with essential variables. In: International Journal of Digital Earth, 2020, vol. 13, n° 2, p. 322–338. doi: 10.1080/17538947.2019.1585977
Main files (1)
Article (Published version)
Identifiers
ISSN of the journal1753-8947
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Technical informations

Creation06/20/2019 9:37:00 AM
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