Figure 7
A framework groups H S C M L data into 7 source categories and identifies 10 quality dimensions for assessing the data.H S C M L data are grouped into social media and crowd-sourced, mobility and location, supply chain operation, historical humanitarian records, socioeconomic and demographic, remote sensing and environmental, and synthetic and simulated data. Social media and crowd-sourced data include posts, crowd requests, crisis communications and eyewitness reports. Mobility and location data include G P S coordinates and trajectories, population density, movement patterns and travel data. Supply chain operation data cover procurement, inventory and demand, resource allocation, transportation and distribution. Historical humanitarian records include past disasters, impact outcomes, response efforts and seasonal patterns. Socioeconomic and demographic data include census information, demographic features, economic indicators, infrastructure and vulnerable populations. Remote sensing and environmental data include sensor, satellite, aerial, radar, meteorological, geophysical, water and soil data. Synthetic and simulated data include scenarios, physics simulations, virtual environments, generated data and augmented data. The quality dimensions are validity and realism, accuracy, completeness, relevance, representativeness, credibility and trustworthiness, compatibility, timeliness and recency, resolution, and uniqueness and deduplication.

Data and data quality framework for HSCML

Source: Authors’ own work

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