DATAMIND (ISSN: 3071-5601)

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DATAMIND is an international, peer-reviewed, open-access journal committed to publishing high-quality research in database-centered artificial intelligence, data management, and computational discovery. As we continue to expand our editorial network and strengthen our global impact, we are seeking motivated and accomplished scholars to join our Editorial Board.

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Articles

DOI: https://doi.org/10.63646/datamind.2026.040101
DOI: https://doi.org/10.63646/datamind.2026.040102
DOI: https://doi.org/10.63646/datamind.2026.040103

Database-Driven Crop Disease Surveillance from Remote Sensing and Field Reports

Rajesh Kumar Sharma, Priya Nair, Suresh Babu, Suresh Babu, Meena Krishnaswamy* (Author)
DOI: https://doi.org/10.63646/datamind.2026.040104

ProcureAnomalyDB: A Public Procurement Database for Fraud, Collusion, and Market Concentration Analysis

Rui Tavares Almeida, Beatriz Carvalho Pinto*, João Magalhães Ribeiro, Inês Marques Silva (Author)
DOI: https://doi.org/10.63646/datamind.2026.040105
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Editor in Chief                                                                             View full editorial board

Weiping Li

 

 

Weiping Li, PhD

Peking University, China

 

 

 

DATAMIND (ISSN: 3071-5601) is an Open Access journal, and publishing quarterly.

The APC (Article Processing Charge) is $400. Learn more about Fee Policy .