The Research Data Collection and Management Workbook
Research Made Practical Series

The Research Data Collection and Management Workbook

50 Practical Templates, Checklists, and Standard Operating Procedures for Flawless Research Data Collection

Data collection is the most vulnerable phase of any research project. One missing variable, one misunderstood SOP, or one storage failure can invalidate months of fieldwork. Yet, most researchers rely on ad-hoc spreadsheets and "best guesses" until it's too late.

This workbook provides the clinical-grade infrastructure you need to ensure every data point is collected, cleaned, and stored with absolute rigor. It transforms complex data management plans into executable, day-to-day checklists.

Perfect for: Principal Investigators managing multi-site studies • Lab Managers and Research Coordinators • Dissertation students about to enter the field • Anyone required to submit a Data Management Plan (DMP)

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What's Inside

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Go/No-Go Readiness Checklist

A 48-item pre-launch checklist covering ethics approval, instrument licensing, database configuration, and personnel training — so you never enter the field unprepared.

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Operations Manual & SOP Builder

Build numbered SOPs, a research assistant training protocol, and a protocol fidelity monitoring checklist that satisfies IRB auditors and dissertation committees.

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Participant Tracking & CONSORT/STROBE Builder

Track every participant from first contact through study completion using recruitment dashboards, attrition trackers, and a real-time flow diagram builder.

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REDCap & Qualtrics Setup Guides

Set up electronic data capture with branching logic maps, calculated field worksheets, and system testing sign-off protocols — eliminating EDC errors before they reach your dataset.

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Data Quality & Missing Data Classification

Implement double-entry verification, range check validation rules, and a missing data classification system that documents every gap with its mechanism (MCAR, MAR, MNAR).

Core Templates & Tools Included

  • 53 fill-in templates covering pre-launch through dataset lock
  • Multi-site coordination tools: communication logs, site performance dashboards, and data submission reconciliation schedules
  • Data codebook builder, file organization system, and version control audit trail
  • Data Management Plan aligned with NIH, NSF, and open science FAIR principles
  • Data Quality Crisis Troubleshooting Guide and Data Security Incident Response Template
  • Data De-Identification & Anonymization Worksheet for HIPAA/GDPR compliance
  • Outlier Investigation & Decision Log with worked examples from clinical, survey, and qualitative studies

Protect every data point you collect — from your very first participant to your final dataset lock.