Quality & Data Governance

Data Governance Workflow

01
Institutional Data Governance

Data access, ethics approvals, de-identification, secure storage, and hospital IT controls are managed by the relevant source institution.

02
Data Standardization

Study-specific cohort definitions, index-date rules, line-of-therapy definitions, biomarker variables, endpoints, missing-data rules, and reporting specifications.

03
Project Documentation

Project-specific procedures, data specifications, analysis plans, dataset specifications, decision logs, and communication records.

04
Quality Control and Review

Analysis datasets, outputs, tables, figures, listings, and cross-country results are reviewed through project-level QC processes.

05
Sponsor Deliverables

Reports, summary outputs, methodological documentation, issue resolution records, and sponsor-facing communications.

Data Governance Workflow


Data Standardization Support

ApreNet may support study-specific data standardization, including:

  • Common cohort definitions and index-date rules
  • Line-of-therapy definitions
  • Biomarker and genomic variable harmonization, where applicable
  • Endpoint alignment and missing-data rules
  • Country-level and pooled reporting specifications

Project-Level Procedural Documents

For applicable projects, ApreNet may maintain project-level procedural documents covering:

  • Project management and oversight
  • Document and records management
  • Training and competency documentation
  • Study-specific data management
  • Statistical analysis and quality control review
  • Issue management

Governance Principle

ApreNet does not treat hospital-origin electronic health record data as company-owned data.

For studies involving institutional data, data access and handling are governed by applicable hospital procedures, ethics approvals, data-use requirements, project agreements, institutional policies, and local regulations.

ApreNet's role is focused on project-level coordination, analysis planning, data specification, statistical and pharmacometrics methodology, quality control, documentation, and communication with project stakeholders, where applicable.