Retrospective Data Registration
Upload tools
Secure and user-friendly web portals designed to streamline data submission for authorized participants in ERIC CLL projects – facilitates retrospective studies.
ERICLL Database
Data Management Tools
The ERIC CLL database is a data management system that supports research and medical knowledge discovery in CLL, implementing methodologies and tools for the collection and analysis of Real-world data (RWD) on a project-basis.
Our approach
Standardization & harmonization
Agreement on common policies along with a user-friendly integration of terminologies and standardized vocabularies.
Simplicity & Flexibility
The database is designed in expandable modules that allow the rapid introduction of additional categories and values when and if needed, based on the type of project run at any single moment in time, making it flexible and adjustable.
The Data Model
Designed to describe all the relevant information
to form an accurate and complete representation of patient diagnosis and disease course
- easily adjusted to project-based requirements -
Real-Time Registration
e-CRFs
Online, dynamically adjusted case report forms (e-CRFs), designed for data registration and management on a project basis – applies for both retrospective and prospective studies.
Retrospective Data Registration
Template registration files for project data collection
Organize data for multiple timepoints in seperate sheets to facilitate data in a retrospective way.
Data Quality assurance
Data Validation Tools
Implementation of data cleaning processes based on predefined rules, to ensure accurate content validation, identify data inconsistencies, and eliminate redundancy errors.
Database Transformation
Database Mapping Tools
”Extract Transform Load” (ETL) software for the massive import of datasets from external, diverse sources into the ERIC CLL Database.
ERIC CLL Database Solutions
ERIC provides to hospitals / institutions specialized tools to facilitate real-world data collection, management, and analysis of patients with CLL.
For more information, contact eric-clldb.inab@certh.gr
- developed by the Real-World Data and Clinical Research Team | INAB
Data protection and security
Appropriate technical and organizational measures for data confidentiality, availability, and integrity.
Data are collected and processed in compliance with GDPR
© RWD and Clinical Research Team - INAB | CERTH 2025