Latest Research in Scientific Computing and Data Management
66 research papers · 0.0 average citations · 2026 median publication year
Top Research Topics in Scientific Computing and Data Management
- Scientific Computing and Data Management — 10 papers
- Research Data Management Practices — 7 papers
- Artificial Intelligence — 4 papers
- Advanced Data Storage Technologies — 3 papers
- Databases — 3 papers
- Data Quality and Management — 3 papers
- Software Engineering — 3 papers
- Semantic Web and Ontologies — 2 papers
- Data Analysis with R — 2 papers
- COVID-19 Digital Contact Tracing — 2 papers
Highest-Cited Papers
- D7.2 Infrastructure Implementation v1
- D7.2 Infrastructure Implementation v1
- PowerShell Error Handling and Retry Design — From the try/catch Trap to Exit Codes and Retry Best Practices (archived 2026-07-27)
- Versioning Your Business App's Database Schema — Migration Practices to Prevent 'Every Customer Has a Different DB' (archived 2026-07-27)
- Testing PowerShell with Pester — A Practical Approach to Making Operations Scripts Harder to Break (archived 2026-07-27)
- Versioning Your Business App's Database Schema — Migration Practices to Prevent 'Every Customer Has a Different DB' (archived 2026-07-27)
- How to Choose Where a Windows App Stores Local Data — A Decision Table for SQLite / JSON / Registry / Access (archived 2026-07-27)
- Designing Scheduled Flows in Power Automate — Month-End Processing, Business-Day Checks, and Reminders in Practice (archived 2026-07-27)
- PowerShell Error Handling and Retry Design — From the try/catch Trap to Exit Codes and Retry Best Practices (archived 2026-07-27)
- How to Choose Where a Windows App Stores Local Data — A Decision Table for SQLite / JSON / Registry / Access (archived 2026-07-27)
- TRACE-BE Deliverable 6.1.1 Data Management Plan
- How Windows DLL Name Resolution Works - Search Order and SxS (archived 2026-07-27)
- A Model-Driven Pipeline for Data Quality Specification and Operationalization: A No-Code Approach for Domain Experts
- Extending Desbordante with Probabilistic Functional Dependency Discovery Support
- Exploring Robust Multi-Agent Workflows for Environmental Data Management
- AgentFAIR: A Multi-Agent Collaborative Framework for FAIRness Evaluation of Geospatial Datasets
- OD-Filter-RLHF
- EvoDRC: A Self-Evolving Agentic Framework for Automated DRC Violation Repair
- CURED: Creating, Understanding, and Repairing Errors Demonstrator
- Extending GouDa: Generation of Universal Datasets with (and without) Errors for Data Quality Benchmarking