Geo-portal as a Data Sharing Platform for Early Warning System in the Pacific

Transcription

1 EXPERT SEMINAR ON INTEGRATED STATISTICS FOR THE SDGS Geo-portal as a Data Sharing Platform for Early Warning System in the Pacific DECEMBER 2017 BANGKOK, THAILAND Youjin Choe

2 Natural disasters and data in the Pacific Pacific island countries vulnerable to natural disasters o Adverse impact on SDGs Early warning system (EWS) as a tool for better preparedness o Need multiple layers of data for EWS Challenge: scattered datasets and no formal sharing mechanism Suggested approach: geo-portal

3 What is geo-portal? Web-based portal for geospatial data o Think of Google, but for maps Source: Maguire and Longley (2004); Fiji NDMO DRM

4 What does geo-portal do? Data Entry Directory Search tool Data visualization Analysis application Source: : Maguire and Longley (2004); Fiji NDMO DRM

5 Geo-portal as a data sharing platform Primarily as a geospatial data entry point o Data are compiled over time and available to every user o Metadata and keywords Naturally serving as a platform for sharing geospatial AND statistical data

6 Components to consider Data sharing/management coordination Supporting policy/legislation National disaster management office Human resources Financial resources Baseline data Utility and infrastructure data Web server National data producing agencies/depar tments Disaster specific data Thematic data on terrain and natural resources Near-real time satellite and thematic maps Map server Map viewer Geo-database PC Internet connectivity Servers Source: Rajabifard (2008)

7 Example: Tonga Situation analysis and needs assessment

8 Example: Tonga Work Plan

9 Towards spatial data integration? Consider what is done in data sharing for easier data integration o What kind of data are you sharing? o Who want to share what data? o For which purpose do you want to share? o How long do you want to share? o What are rules for sharing data?

10 Implication 1: Conducting multi-stakeholder consultation Data come from everywhere o BOTH spatial and socio-economic data are needed o Necessary data are scattered o One dataset can have multiple meanings Periodic discussions and consultations with clear agenda

11 Implication 2: Identifying available datasets and resources Data are duplicated and overlapping Many applications to try out By identifying available datasets o Reduce budget waste/leakage from duplicates o Identify available funding for necessary datasets/applications

12 Implication 3: Identifying who is in charge in which task by when Clear roles and responsibility should be assigned o Which agency/staff is responsible for which data Don t forget the deadlines and indicators o Clear instructions on deliverables and target indicators according to work plan schedule

13 Implication 4: Implementing short- and long-term plans Based on consultations and identified resources It takes a village to integrate data o Leading agency for coordination with support from other participating agencies o Dynamic mechanism for data integration o Standardization and quality assurance

14 Way forward How to integrate spatial data with your data Human activities and responses happen within a space Not only for EWS, but also for other sectors Need for overarching framework o While geo-portal is useful, it can better operate with National Spatial Data Infrastructure (NSDI)

15 References Maguire, D. and Longley, P. (2005) The emergence of geoportals and their role in spatial data infrastructures, Computers, Environment and Urban Systems 29, Rajabifard, Abbas (2008). A Spatial Data Infrastructure for a Spatially Enabled Government and Society. In: A Multi-View Framework To Assess SDIS, Joep Crompvoets, Abbas Rajabifard, Bastiaan van Loenen, and Tatiana Delgado Fernandez, eds. Wageningen: Wageningen University; Melbourne: The University of Melbourne. Fiji Disaster Risk Management Geoportal,