What Is a Research Data Management System?
It’s a secure platform for capturing, categorizing, storing, and retrieving research documents, datasets, and logs from experiments or studies.

It ensures:

• One location for all research documentation

• Consistent tagging and access by topic or phase

• Version control for iterative experimentation

• Search and retrieval for analysis or publishing

Why Do R&D Teams Need This?
Without centralized data, teams face:

• Lost or inaccessible research

• Redundant experiments or errors

• Audit risks from missing documentation

• Inefficiency during reviews or grant reporting

Key Benefits:
✅ Securely store raw and processed research data
✅ Enable structured tagging and annotations
✅ Simplify collaboration with shared access
✅ Ensure traceability across all R&D projects

🔧 Standardize Data Storage With Low-Code Logic

With Kissflow, build custom metadata fields (experiment type, researcher, outcome), upload raw data files, and define workflows for review or archiving. Apply role-based access to sensitive results.

Why Choose a Low-Code RDM App?
🎯 Customize templates for experiments, lab logs, and studies
🔄 Set review and locking workflows
📊 Filter and search by topic, PI, or study phase
🔧 Evolve data structures without tech teams

💡 Who Is This For?

• Research teams collecting data across trials

• Lab managers managing experimental logs

• Compliance officers overseeing recordkeeping