BigDataDork Services

Transforming messy data into analysis-ready datasets

BigDataDork helps clinical and research teams turn poorly structured datasets into clean, standardized, and analysis-ready data. Instead of spending hours cleaning and reorganizing data, you can upload your dataset and receive a structured output ready for SAS, R, publication, or REDCap.

We don’t just clean data — we fix the underlying structure so your research is accurate, consistent, and ready for real insights.

Clinical Data Cleaning & Structuring

We take messy datasets and convert them into clean, properly structured data models.

Remove duplicate and inconsistent records
Standardize variables (BP, heart rate, timestamps)
Handle missing values and detect outliers
Separate mixed data (e.g., vitals vs survey responses)
Build longitudinal structure (baseline, follow-ups)
Prepare data for SAS, R, or REDCap

Result: A clean, validated dataset ready for analysis.

Continuous Data Pipeline

For ongoing studies, we continuously clean and structure incoming data so your dataset stays usable throughout the entire study.

Clinical trials
Cohort studies
Remote patient monitoring (BP, HR, wearable data)

Result: No last-minute data cleaning and faster analysis cycles.

Advanced Clinical Data Support

For complex or multi-source datasets requiring deeper restructuring and validation.

Complex dataset restructuring
Multi-source data integration
Preparation for statistical modeling
Data validation for research integrity

Pricing

Each dataset varies in size and complexity.

Most projects range from $500–$3,000.

For ongoing studies or complex work, pricing is customized.

Get Started

Stop cleaning data. Start analyzing it.

Email: hello@bigdatadork.com