Relational database of critical raw materials and strategic quantum materials for the ISV framework

Description

This dataset supports the study on inherited strategic vulnerability (ISV) in second-generation quantum technology ecosystems. It comprises three interconnected spreadsheets that operationalize a three-layer relational database constructed through the triangulation of governmental, military, and academic sources. (1) Dataset_1_Critical_Raw_Materials_Quantum_Technologies: an inventory of fifteen critical raw materials relevant to second-generation quantum technologies, assessed across five dimensions — quantum function, enabled military capability, geopolitical vulnerability, technological horizon, and Brazilian positioning. (2) Dataset_2_Strategic_Quantum_Materials: a set of six strategic quantum materials (YBCO superconductor, Bi₂Se₃ topological insulator, CdSe quantum dots, CsPbX₃ quantum dots, graphene, and high-entropy alloys), selected according to three criteria: quantum relevance, platform coverage, and defense relevance. (3) Dataset_3_Mineral_Material_Relationship_Matrix: a relational matrix with twenty-six mineral-material relationships, classified according to dependency type, intensity, inherited vulnerability, technological alternatives, and strategic applications.

Steps to reproduce

The dataset was constructed through a structured literature review and compilation of open-source data from international mineral registries and institutional reports (USGS Critical Minerals List, CSIS, SIPRI, NATO STO) and peer-reviewed materials science literature. Three interconnected spreadsheets were built: (1) an inventory of 15 critical raw materials assessed across five dimensions (quantum function, enabled military capability, geopolitical vulnerability, technological horizon, and Brazil's positioning); (2) an inventory of 6 strategic quantum materials selected through a three-filter cascade (quantum relevance, platform coverage, defense relevance); and (3) a relationship matrix of 26 mineral–material linkages coding relation type, degree of dependence, and inherited strategic vulnerability. Each file includes a README tab documenting the columns.

Institutions

• Escola de Comando e Estado-Maior do Exército

  Rio de Janeiro, Rio de Janeiro

Categories

Funders

• Financiadora de Estudos e Projetos

  Ministry of Science, Technology and Innovation

  Rio de Janeiro, Rio de Janeiro
• Coordenação de Aperfeicoamento de Pessoal de Nível Superior

  Ministry of Education

  Federal District, Brasília

Licence