Data Setup & Data Design
Structured, Secure, and Scalable Data Collection for Research and Institutional Use
Overview
Effective research and reporting begin with well-designed data collection systems. Poorly structured data can lead to errors, inefficiencies, and unreliable results. Our Data Setup & Data Design services ensure that your data is collected accurately, securely, and in a format ready for analysis and reporting.
We support widely used platforms such as REDCap, Microsoft Forms, and Google Forms, helping researchers, clinicians, and institutional teams build reliable data collection workflows from the ground up.
Data Collection Platform Setup
We design and configure data collection tools tailored to your project needs:
- REDCap project setup for clinical and research studies
- Microsoft Forms for institutional surveys and internal data collection
- Google Forms for flexible, collaborative, and rapid deployment scenarios
- Multi-form workflows for complex or multi-phase studies
- Integration with spreadsheets, databases, and cloud storage
Each platform is configured to balance usability with data integrity and security.
Form Design & Structure
We create intuitive, well-structured forms that improve data quality and user experience:
- Logical question flow and branching (skip logic)
- Standardized variable naming and coding schemes
- Use of validated scales and structured response options
- Minimization of free-text errors through controlled inputs
- Multi-language or multi-site considerations where needed
Our designs ensure consistency across respondents and reduce the need for extensive data cleaning later.
Data Standards & Quality Control
We implement best practices to ensure your data is analysis-ready:
- Data validation rules (range checks, required fields, formats)
- Duplicate prevention and record tracking
- Audit trails and change tracking (especially in REDCap)
- Data dictionaries and codebooks for documentation
- Alignment with research protocols and compliance requirements