Integration, data pipelines & automation
Connect EDC, databases and files through automated ETL pipelines. We clean, transform and organise data in your institutional environment, with quality checks and role-based access for analysis, dashboards and AI-assisted exploration.
From scattered sources to usable research data
Downloading files, matching columns and repeating the same cleaning steps takes time away from research. We turn those steps into defined, repeatable workflows: extracting data, checking it, transforming it and loading it into an environment approved by your institution.
Connect sources without losing their meaning
Sources can include EDC platforms such as REDCap, institutional databases, approved APIs and existing files. We agree identifiers, field definitions, formats and refresh schedules. Checks for missing records, duplicates and inconsistent values make issues visible, while documented transformation rules explain how the output was prepared.
Reduce repetitive work with ETL and automation
ETL means extracting, transforming and loading data. Depending on the requirements, scheduled or event-triggered workflows can process changed records, standardise formats, prepare derived fields and route quality exceptions for review.
A disconnected source or an unexpected input should have a defined response. Run logs, notifications and recovery steps help your team monitor the process and understand when intervention is needed.
Make the right data available with the right permissions
The destination may be an institution-managed database, warehouse or lakehouse. Role-based rules define which users can access particular datasets or fields. Prepared data can feed approved analysis tools, dashboards and, where appropriate, AI-assisted query tools.
Research and participant data stay in your institutional environment. ISDEM Research does not access, store or use these data; development and checks use appropriate synthetic examples, data structures and review by your authorised institutional team.
Trace the journey from source to output
We connect mappings, transformation rules and expected outputs to test scenarios. Your authorised team compares results with the actual sources within your environment. Handover includes the agreed implementation, data-flow documentation, operating guidance and responsibilities.
To make prepared data easier for researchers to explore, consider our research infrastructure and AI-assisted insight service.