About Clinical Research Data Management Guide

Clinical Research Data Management Guide is an independent, evidence-based publication about clinical research data management — the work of collecting, managing, protecting, and using the data that clinical research produces, from protocol design through database lock, analysis, and archival.

The publication covers the field, not just the software: practical guides to data management practice and research funding, plain-language explainers of standards like 21 CFR Part 11 and Good Clinical Practice, reviews of the evidence behind common practices, curated industry resources — and a structured knowledge base of technology and vendor profiles, capability assessments, and pricing research with documented sources and verification dates.

The publication serves the people who design studies, collect data, and keep it trustworthy: investigators, research coordinators, clinical data managers, informaticians, biostatisticians, sponsors, and the academic medical centers, research institutes, hospitals, site networks, and companies conducting clinical research — along with the IT, compliance, and research-administration staff who support them.

Our scope follows the two lifecycles of clinical research: the study lifecycle — design, build, recruitment and enrollment, collection, monitoring and cleaning, coding and analysis, and close-out — and the data lifecycle that runs alongside it, from definition and acquisition through validation, transformation, protection, use, and preservation.

"Data management" is an ambiguous term, so we are explicit about what falls outside our scope: enterprise and master data management, IT database administration, and the open-data "research data management" practiced in libraries and data repositories. Those are legitimate fields — they simply are not what this publication covers. See What Is Clinical Research Data Management? for the full definition.

Clinical Research Data Management Guide is published by QuesGen Systems, Inc., a developer of clinical research data-management technology that competes in the market this publication covers. We say that plainly because readers deserve to know it, and we intend to cover the broader market fairly, including products that compete directly with QuesGen. QuesGen is covered under the same published research methodology as every other product, and vendors do not pay for inclusion, ranking, or favorable coverage.

The full details are on our Disclosure page.

We believe clinical research is one of the most consequential things a society does, and that its value rests on the quality of its data. The professionals who safeguard that quality — data managers, coordinators, informaticians, monitors, statisticians — do essential and often invisible work. We examine practices, standards, funding models, and technologies on their individual merits, with evidence distinguished from opinion — and when evidence is incomplete, conflicting, or contested, we say so. The full statement is in our editorial policy.

Product facts are drawn from documented sources — vendor documentation first, supplemented by public, government, standards-body, and reputable third-party sources — with attribution and verification dates, and a clear line between documented fact and our own analysis. The approach is described in detail in our Methodology and Editorial Policy.

As the publication develops, we intend to involve outside experts and practitioners — people who run studies, manage data, and implement research systems — as reviewers and contributors. Contributor roles will be identified when that happens; if you're interested, see the Contact page.