Research Computing VPS - Offshore Academic Infrastructure

Different research fields have different infrastructure needs: **Social science / political research**: Analyzing social media datasets, scraping public political communications, hosting survey tools. Large datasets (Twitter academic API exports, social media archives) processed on VPS. Tools: Python pandas/polars for analysis, PostgreSQL for structured data, Elasticsearch for text search. **Security research**: Vulnerability research, malware analysis, fuzzing. Isolated VPS environments prevent research subjects from compromising researcher infrastructure. Snapshot/restore capability for clean analysis environments. **Bioinformatics**: Genomic data analysis (Python bioinformatics tools, R/Bioconductor). Large RAM VPS plans (32-64GB) for in-memory genomic computations. Genomic data sensitivity makes cloud-provider storage questionable. **Survey research**: Limesurvey self-hosted collects survey responses without sending data to Google Forms or SurveyMonkey. Respondent data stays on Iceland VPS under GDPR. **Machine learning training**: Small-to-medium model training on CPU-only VPS (slower but private). GPU-equipped dedicated servers for large model training.

IRB (Institutional Review Board) protocols for human subjects research specify data protection requirements. Some IRB protocols require data to be stored outside the US or within specific legal frameworks. Iceland VPS satisfies EU GDPR requirements, making it appropriate for research involving EU human subjects data. Data anonymization before VPS storage: never store identifiable data if anonymized data is sufficient for analysis. Tools: Python faker for synthetic data generation, ARX for k-anonymity implementation. VPS encryption at rest: LUKS-encrypt the data partition. This requires manual unlock on each VPS reboot but provides protection if the physical hardware is compromised. ```bash # LUKS encryption for research data volume: apt install cryptsetup -y cryptsetup luksFormat /dev/sdb # /dev/sdb is the data volume cryptsetup open /dev/sdb research_data mkfs.ext4 /dev/mapper/research_data mount /dev/mapper/research_data /mnt/research ``` This volume is encrypted until manually unlocked - providing strong protection for sensitive research data.

For multi-researcher teams, JupyterHub provides collaborative notebook computing: ```bash conda install -c conda-forge jupyterhub jupyterhub --port 8000 --JupyterHub.authenticator_class=nativeauthenticator.NativeAuthenticator --Spawner.notebook_dir=/home/{username}/notebooks ``` Each researcher gets a separate environment. Shared datasets mounted read-only, personal analysis directories per user. All computation on your Iceland VPS - no data goes to external compute services. R and Python both supported in Jupyter notebooks. Install specific research packages: ```bash conda install -c conda-forge r-base rpy2 numpy pandas scikit-learn tensorflow pytorch ``` Version control integration: Gitea on the same VPS gives your team private Git repositories for analysis code. No research code on GitHub (potential IP or sensitive methodology leakage).