{"product_id":"the-research-data-collection-and-management-workbook-50-practical-templates-checklists-and-standard-operating-procedures-for-flawless-research-data-9789199132242","title":"The Research Data Collection and Management Workbook: 50 Practical Templates, Checklists, and Standard Operating Procedures for Flawless Research Data","description":"\u003cp\u003e • Author(s): Rafiq Muhammad\u003cbr\u003e • Publisher: Muhammad Rafiq\u003cbr\u003e • Publisher Imprint: Muhammad Rafiq\u003cbr\u003e • BISAC: Research \u0026amp; Methodology\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eAN EXPIRED INSTRUMENT LICENSE. A DATABASE THAT WAS NEVER TESTED. FIFTY-TWO PARTICIPANTS' DATA-GONE. THE COSTLIEST MISTAKES IN RESEARCH HAPPEN BEFORE A SINGLE DATA POINT IS RECORDED.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis workbook replaces assumption with verification-so your data collection runs flawlessly from first participant to final dataset lock.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eYou have spent months designing your study, writing your protocol, and earning IRB approval. Now comes the phase where everything can go wrong: data collection. Missing consent forms discovered at month three. A research assistant who administered the instrument differently at every site. Participant attrition spiraling with no tracking system in place. A codebook that was never built, leaving your analyst guessing what each variable means. These are not rare disasters-they are the norm when researchers enter the field without operational infrastructure.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe Research Data Collection \u0026amp; Management Workbook eliminates these risks. This is not a textbook-it is an operational field companion with 53 practical templates, checklists, and standard operating procedures that provide the systematic infrastructure for flawless research data collection, from pre-launch readiness verification through final dataset handoff to analysis.\u003c\/p\u003e\u003cp\u003eBuilt for graduate students collecting dissertation or thesis data, clinical research coordinators managing trial operations, principal investigators overseeing multi-site studies, postdoctoral researchers running independent data collection for the first time, and research teams that need standardized SOPs and quality control protocols across every study site.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eInside this workbook, you will: \u003c\/p\u003e\u003cp\u003eComplete a 48-item Go\/No-Go readiness checklist covering ethics approval, instrument licensing, database configuration, and personnel training-so you never enter the field unprepared\u003c\/p\u003e\u003cp\u003eBuild a complete operations manual with numbered SOPs, a research assistant training protocol, and a protocol fidelity monitoring checklist that satisfies IRB auditors and dissertation committees\u003c\/p\u003e\u003cp\u003eTrack every participant from first contact through study completion using recruitment dashboards, attrition trackers, and a real-time CONSORT\/STROBE flow diagram builder\u003c\/p\u003e\u003cp\u003eSet up REDCap and Qualtrics with branching logic maps, calculated field worksheets, and a system testing sign-off protocol-eliminating electronic data capture errors before they reach your dataset\u003c\/p\u003e\u003cp\u003eImplement double-entry verification, range check validation rules, and a missing data classification system that documents every gap with its mechanism (MCAR, MAR, MNAR) and handling decision\u003c\/p\u003e\u003cp\u003eCoordinate multi-site data collection with communication logs, site performance dashboards, and data submission reconciliation schedules that keep every location synchronized\u003c\/p\u003e\u003cp\u003eCreate your data codebook, file organization system, version control audit trail, and a Data Management Plan that meets NIH, NSF, and open science FAIR-principle requirements-then lock and hand off a clean, analysis-ready dataset\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBONUS: Includes a Data Quality Crisis Troubleshooting Guide, a Data Security Incident Response Template, a Data De-Identification \u0026amp; Anonymization Worksheet for HIPAA\/GDPR compliance, and a complete Outlier Investigation \u0026amp; Decision Log. Every template features a Supervisor Review column and worked examples from clinical, survey, and qualitative studies. All 53 templates are available as digital downloads.\u003c\/p\u003e","brand":"Muhammad Rafiq","offers":[{"title":"Paperback","offer_id":47892402995351,"sku":"9789199132242","price":3146.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9789199132242.webp?v=1781186839","url":"https:\/\/atlanticbooks.com\/products\/the-research-data-collection-and-management-workbook-50-practical-templates-checklists-and-standard-operating-procedures-for-flawless-research-data-9789199132242","provider":"Atlantic Books","version":"1.0","type":"link"}