Doctoral thesis
OA Policy
English

Spatial Data Infrastructures for addressing environmental challenges: stocktaking, capacity building, implementation and assessment

ContributorsGuigoz, Yanissorcid
Defense date2016-06-23
Abstract

Spatial Data Infrastructures (SDIs) consist in a framework aiming at integrating data, technological, institutional and individual aspects for an improved data discovery and availability, which is the ground for environmental research. In order to better understand the status of SDI implementation, their societal or environmental impacts, or the impact of some SDI specific activities on the whole SDI, this thesis examines different stages of the SDI cycle: (1) the stocktaking evaluation needed before any action can be planned; (2) the possible capacity building actions to be set up; (3) the SDI implementation actions possible; (4) the assessment of the SDI components and of the actions taken. The findings highlight the complex and multi-faceted nature of SDIs that reflects human diversity. Awareness raising and capacity building at the level of individuals are critical to address this complexity and need to integrate the necessary technical uniformity and the cultural plurality inherent to mankind throughout the SDI cycle.

Keywords
  • Spatial Data Infrastructure
  • Impact
  • Earth Observation
Citation (ISO format)
GUIGOZ, Yaniss. Spatial Data Infrastructures for addressing environmental challenges: stocktaking, capacity building, implementation and assessment. Doctoral Thesis, 2016. doi: 10.13097/archive-ouverte/unige:88107
Main files (1)
Thesis
accessLevelPublic
Identifiers
906views
1245downloads

Technical informations

Creation03/10/2016 22:31:00
First validation03/10/2016 22:31:00
Update time15/03/2023 00:49:02
Status update15/03/2023 00:49:01
Last indexation31/10/2024 04:43:30
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack