Leveraging volunteered geographical information and spatio temporal big data in disaster management: opportunity and challenges
- DOI
- 10.1007/s41060-025-00896-8
- Published
- 2025-11-28
- Container
- International Journal of Data Science and Analytics
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1007/s41060-025-00896-8,
title = {Leveraging volunteered geographical information and spatio temporal big data in disaster management: opportunity and challenges},
author = {Mohamed Amine Ben Rhaiem and Mouna Selmi and Imed Riadh Farah and Amel Bouzeghoub},
year = {2025},
journal = {International Journal of Data Science and Analytics},
doi = {10.1007/s41060-025-00896-8},
url = {https://doi.org/10.1007/s41060-025-00896-8}
}RIS
TY - JOUR TI - Leveraging volunteered geographical information and spatio temporal big data in disaster management: opportunity and challenges AU - Mohamed Amine Ben Rhaiem AU - Mouna Selmi AU - Imed Riadh Farah AU - Amel Bouzeghoub PY - 2025 JO - International Journal of Data Science and Analytics DO - 10.1007/s41060-025-00896-8 UR - https://doi.org/10.1007/s41060-025-00896-8 ER -
APA
Rhaiem, M. A. B., Selmi, M., Farah, I. R., & Bouzeghoub, A. (2025). Leveraging volunteered geographical information and spatio temporal big data in disaster management: opportunity and challenges. International Journal of Data Science and Analytics. https://doi.org/10.1007/s41060-025-00896-8
Source records
- crossref · retrieved 2026-09-25T21:00:20.639Z