Clinical Data Platforms & Analytical Integration
Clinical and biomarker data integration with R, Python, SQL and Databricks: data models, pipelines, QC, lineage and analytical applications.
Research Data Preparation & CRF Design
Useful data starts with collecting the right variables and preserving their meaning. We design or review case report forms and prepare existing research databases for reproducible analysis.
What you receive
- Reviewed CRF or specification and data dictionary.
- Prepared database and unresolved issue log.
- Transformation code and change traceability.
What is included
- Design or review CRFs, variables, units, visits and categories.
- Clean and code data; check duplicates, ranges and temporal consistency.
- Specify validation rules, queries and analysis transformations.
Frequently asked questions
Does this include an eCRF in REDCap or another EDC?
The base service covers design and specifications. Platform configuration depends on access, permissions, validation and available expertise and is scoped separately.
Related services
R/Shiny development, recovery and maintenance
Build, recover and maintain R/Shiny applications with source code, tests and handover. Scope and support agreed for each project.
Discuss your project
Tell us about the objective, study stage and deadline. We review the need and availability; we then define the scope with you and prepare a proposal with deliverables, timing and fees.
Do not email patient, clinical or confidential study data. Access and the working environment are agreed before materials are shared.
Discuss your project