Data Quality

Every research project at IPA is required to follow research protocols, or ‘Minimum Must Dos,’ to ensure that IPA produces high-quality research. These protocols are organized into data management, data quality, data security and ethics, and knowledge management categories.

IPA Research Protocols for High-Quality Research (® David Torres)

IPA’s Data Quality Protocols are organized into four main categories. Click on each protocol below to learn more.

Data Management System - DMS

• IPA Data Management System (IPA-DMS)

The IPA Data Management System (IPA-DMS) is a fundamental tool that standardizes data quality practices across IPA projects. It provides a structured framework for data cleaning, documentation, and quality control throughout the research lifecycle.

Data Quality

• Survey Plan
• Data Quality Action Plan
• Bench Test
• Pilot Survey
• Accompany Surveyors
• High Frequency Checks
• Backchecks
• Double Entry

Data Security and Research Ethics

• Maintain active IRB approval
• Create data security protocols
• Follow data security protocols
• Data anonymization
• Complete IRB closeout process

Knowledge Management and Transparency

• Maintain data backups
• Store all files on Box
• Register with AEA