**Publisher:** ProQuest
**Subjects Covered:** Computer science, software engineering, artificial intelligence, cybersecurity, data science, information systems, programming, and applied computing.

Overview

The Computer Science Database from ProQuest provides access to scholarly journals, trade publications, and conference proceedings covering all areas of computing and information technology. It includes full‑text and indexed content relevant to both theoretical and applied computing, from software design and programming to network administration and cybersecurity. At South Dakota Mines, this database supports Computer Science and Computer Engineering programs, data analytics, and interdisciplinary research involving computational methods across STEM fields.

Scope and Content

• Coverage Dates: 1980s–present.
• Content Types: Peer‑reviewed journals, industry magazines, technical papers, and conference proceedings.
• Core Topics: Algorithms, AI, machine learning, computer architecture, software systems, cybersecurity, and data science.
• Update Frequency: Daily via the ProQuest platform.
• Access Model: Full‑text subscription database with indexed references.
• Source Types: Includes content from ACM, IEEE, Springer, and other technology publishers.

Strengths

• Comprehensive IT coverage with both scholarly and professional publications.
• Interdisciplinary relevance across engineering, mathematics, and applied sciences.
• Full‑text access for many key computing journals and conference proceedings.
• Frequent updates ensure current coverage of rapidly changing technologies.
• ProQuest platform provides citation tools, search filters, and alerts.
• Supports both academic and applied computing research projects.

Limitations

• Some overlap with IEEE Xplore and ACM Digital Library.
• Primarily journal and text‑based; limited datasets or multimedia.
• Trade magazines provide practical rather than peer‑reviewed content.
• Advanced users may prefer discipline‑specific databases for depth.
• Full‑text access depends on institutional subscriptions.

Best For

• Computer Science and Computer Engineering majors researching programming, AI, or systems design.
• Students in interdisciplinary programs such as data analytics or robotics.
• Faculty developing course materials or literature reviews on emerging technologies.
• Capstone and senior design teams exploring computing applications.
• Researchers tracking trends in software engineering, data science, or cybersecurity.

Complementary Databases

Overall Evaluation

The Computer Science Database (ProQuest) delivers strong full‑text coverage of computing and IT research, combining academic rigor with professional insights. It is particularly useful for South Dakota Mines’ computing‑intensive programs, providing access to scholarly, technical, and trade literature in one integrated resource. It supports faculty, students, and researchers working in software development, AI, cybersecurity, and applied computing. It should appear on the A‑to‑Z Databases list and in Computer Science, Computer Engineering, and Cybersecurity LibGuides as a ProQuest database supporting programming, AI, and applied computing research.

Ask Digby – Library Help

Need help finding computing or IT research articles? Ask Digby, the Devereaux Library’s friendly prairie dog mascot! Digby can help you search the Computer Science Database, refine your topic, and link your results with engineering and STEM resources.

📧 Email: library@sdsmt.edu

🌐 Chat: Ask Digby
🔗 Library Catalog (Primo): https://sdsmt.primo.exlibrisgroup.com

📍 Devereaux Library, South Dakota Mines, Rapid City, SD