ArticleScientific data2022
A spatially-explicit harmonized global dataset of critical infrastructure.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- Post-2020 conservation priorities are threatened by global mining.Nature communications · 2026Article
- Global vulnerability assessment of mobile telecommunications infrastructure to climate hazards using crowdsourced open data.Nature communications · 2026Article
- Harmonized geospatial data to evaluate the Electric Distribution Networks in the US Northeast.Scientific data · 2025Article
- Global geo-hazard risk assessment of long-span bridges enhanced with InSAR availability.Nature communications · 2025Article
- Applying Computational Engineering Modeling to Analyze the Social Impact of Conflict and Violent Events.Entropy (Basel, Switzerland) · 2025Article
- Socioeconomic predictors of vulnerability to flood-induced displacement.Nature communications · 2025Article
- Inequality in infrastructure access and its association with health disparities.Nature human behaviour · 2025Article
- Human displacements, fatalities, and economic damages linked to remotely observed floods.Scientific data · 2023Article
- A spatio-temporal analysis investigating completeness and inequalities of global urban building data in OpenStreetMap.Nature communications · 2023Article
- Flood hazard potential reveals global floodplain settlement patterns.Nature communications · 2023Article
- A spatially-explicit harmonized global dataset of critical infrastructure.Scientific data · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Critical infrastructure (CI) is fundamental for the functioning of a society and forms the backbone for socio-economic development. Natural and human-made threats, however, pose a major risk to CI. Therefore, geospatial data on the location of CI are fundamental for in-depth risk analyses, which are required to inform policy decisions aiming to reduce risk. We present a first-of-its-kind globally harmonized spatial dataset for the representation of CI. In this study, we: (1) collect and harmonize detailed geospatial data of the world's main CI systems into a single geospatial database; and (2) develop the Critical Infrastructure Spatial Index (CISI) to express the global spatial intensity of CI. The CISI aggregates high-resolution geospatial OpenStreetMap (OSM) data of 39 CI types that are categorized under seven overarching CI systems. The detailed geospatial data are rasterized into a harmonized and consistent dataset with a resolution of 0.10 × 0.10 and 0.25 × 0.25 degrees. The dataset can be applied to explore the current landscape of CI, identify CI hotspots, and as exposure input for large-scale risk assessments.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.