Clinical Data Management & Technology
This section covers the systems, standards, and processes used to capture, clean, manage, and secure the data generated by a clinical trial - the infrastructure layer that sits underneath trial results and regulatory submissions alike. Clinical data management has developed into its own discipline with its own body of knowledge, most notably the Society for Clinical Data Management's Good Clinical Data Management Practices (GCDMP), which documents accepted practice across areas such as case report form design, database design and validation, data cleaning and query management, and data quality metrics. Data standardization is a major theme in this cluster. CDISC (the Clinical Data Interchange Standards Consortium) publishes the data standards - including protocol, collection, tabulation, and analysis standards - that allow clinical trial data to be structured consistently enough to be pooled, reviewed, and submitted to regulators in a predictable format. These standards are what make it possible for a regulatory reviewer to work with submissions from different sponsors using a common data structure rather than a bespoke one for every trial. A second major theme is the regulatory requirements governing electronic records and electronic signatures, most notably FDA's 21 CFR Part 11, which sets out the criteria under which electronic records and signatures are considered trustworthy, reliable, and equivalent to paper records and handwritten signatures for regulated activities. For a research administrator, this is the area covering electronic data capture (EDC) system selection and validation, audit trails, data integrity controls, query resolution workflows, and the standards compliance that clinical data must demonstrate before it can support a regulatory submission.
Guides
CDISC Standards for FDA Submissions: SDTM, ADaM, SEND, and Define-XML
CDISC is the nonprofit standards development organization behind SDTM, ADaM, SEND and Define-XML. FDA requires those formats for study data in NDAs, BLAs and ANDAs, and runs automated eCTD checks that reject non-conforming submissions before scientific review begins.
What Is HL7 (Health Level Seven)?
HL7 (Health Level Seven International) is the standards organization behind HL7 v2, CDA, and FHIR — the formats that let EHRs, labs, and other health systems exchange data. Here is what it is, how it relates to FHIR and CDISC, and why it matters for research data.
What Is FHIR (Fast Healthcare Interoperability Resources)?
FHIR (Fast Healthcare Interoperability Resources) is the modern REST/JSON data standard from HL7 International for exchanging clinical data between EHRs, apps, and research databases.
SignNow Alternatives for Research and Grants Offices: 5 Options Compared
SignNow, Foxit eSign, SignEasy, HelloSign (Dropbox Sign), and Sign.Plus compared for research and grants offices — including when a bundled PDF-editor e-signature tool beats a standalone one, and when it doesn’t.
The HIPAA Compliance Checklist for Research and Clinical Teams (What Actually Gets Audited)
A genuine, checklist-style walkthrough of what HIPAA’s Security and Privacy Rules actually require for research and clinical teams — administrative, physical, and technical safeguards, the breach-notification timeline, and the recurring failure points OCR audits flag most.
Is eFax HIPAA Compliant? Which Plan, and What the BAA Covers
eFax lists BAA coverage for eFax Business, Corporate, Unite and jSign — not for eFax Personal, despite its “HIPAA Compliant” feature label. Here is what that means for PHI, the real compliance checklist, and when to stay put rather than switch.
HIPAA-compliant e-signature software compared for clinics and research teams
HIPAA compliant electronic signature software compared on BAA tier, audit logs and price — plus whether DocuSign and Dropbox Sign will sign a BAA.
Business associate agreements for research vendors
What is a business associate agreement, who counts as a business associate in research, what a BAA must contain, and which vendors will refuse to sign one.
Getting a BAA for AI Tools Used in Research: OpenAI and Beyond
A Business Associate Agreement is required before any protected health information touches an AI tool. Here is which OpenAI products qualify, how the request process actually works, and what a BAA does and does not cover.
Mapping Clinical Data to the OMOP Common Data Model
The OMOP Common Data Model (OMOP CDM) is OHDSI’s open standard for structuring observational health data – EHR records, insurance claims, registries – into a common relational format so the same analytic code runs against any conforming database. This guide walks through the CDM’s clinical table structure, the standardized vocabularies that anchor it, and the OHDSI-tool ETL procedure (White Rabbit, Usagi, Rabbit-in-a-Hat) used to map source data onto it.
Is Fax.Plus HIPAA Compliant? The Direct Answer
Fax.Plus is HIPAA-compliant only on its Enterprise plan with a signed BAA and Advanced Security Controls enabled — lower tiers are not. Here’s exactly what’s required and what it costs.
HIPAA Compliant eSignature Software: What Actually Makes One Compliant
A signed BAA, not marketing copy, is what makes an e-signature tool usable for PHI. Here is how Sign.Plus, Dropbox Sign, PandaDoc, BoldSign, and Adobe Acrobat Sign actually handle HIPAA compliance, tier by tier.
HIPAA-Compliant Fax Cover Sheet: Free Template and Required Language
A free, copy-paste HIPAA-compliant fax cover sheet template with the confidentiality disclaimer regulators expect to see, and an honest look at what a cover sheet does and doesn’t do for HIPAA compliance.
ClinicalTrials.gov PRS Login & Account Access
Why the PRS “Organization” login field fails first-time users, how to actually get a PRS account (there’s no self-service signup), and how the Modernized-vs-Classic PRS choice affects your login.
EMA/HMA Real-World Data Quality Framework (RW-DQF): A Guide to the EU’s RWD Quality Criteria
What the EMA/HMA Real-World Data Quality Framework (RW-DQF), finalized March 2026, actually requires: scope, quality dimensions, fit-for-purpose assessment, and how it relates to DARWIN EU and the HMA-EMA RWD Catalogues.
Castor EDC and Lightweight EDC Platforms for Investigator-Initiated Trials
A guide to Castor EDC and other lightweight electronic data capture platforms built for investigator-initiated and academic clinical trials, including how Castor compares to REDCap and OpenClinica and when a lightweight EDC makes more sense than an enterprise sponsor-scale platform.
Medidata Rave EDC: What Research Coordinators Need to Know Before Their First Study Build
A practical guide for clinical research coordinators encountering Medidata Rave EDC for the first time: how site activation and access work, the study-builder-vs-coordinator role split, training and certification expectations, query management, 21 CFR Part 11 audit trail considerations, common first-time pitfalls, and how Rave compares functionally to other EDC systems.
How to Select a Clinical Trial Management System (CTMS): A Buyer’s Guide
A practical, vendor-neutral evaluation guide for institutions selecting a CTMS: what it is not (vs. EDC, eIRB, eReg, billing, ERP), core functionality, coverage analysis and billing compliance, integrations, 21 CFR Part 11 validation, build vs. buy, ownership and funding, cost structure, and a requirements checklist.
Data Management Plan for Clinical Trials: EDC, CRF Flow, Lock & Retention
How a clinical trial DMP differs from a general research DMP: EDC system specification, CRF data flow, database lock procedure, source data verification, and ICH E6 retention rules.
AI in Clinical Trials: Real Applications Across Trial Operations
How AI and machine learning tools are actually being used in clinical trial operations today: patient matching, site selection, protocol simulation, and adverse-event signal detection.
Clinical Data Management Tools: How EDC, CDMS, CTMS, eTMF, RTSM, and RBM Fit Together
A landscape overview of the clinical trial technology stack — EDC, CDMS, CTMS, eTMF, RTSM, and RBM platforms — and how the tool categories relate to and integrate with each other.
Clinical Trial Management System (CTMS): What It Is and Does
A clinical trial management system (CTMS) tracks the operational side of a trial — sites, enrollment, monitoring visits, budgets, and regulatory documents — distinct from the clinical data itself, which EDC/CDMS systems handle.
Clinical Data Management: Processes, Systems, and Standards
What clinical data management covers end-to-end — EDC build and validation, edit checks, query resolution, source data verification, medical coding, and database lock — and the CDISC, GCDMP, and GCP standards that govern it.
