Understand the need
Review research goals, existing systems, learning needs, repetitive work and access constraints with the people involved.
From collecting research data to making it useful. We connect EDC platforms including REDCap, multiple data sources, automated pipelines and research infrastructure so your team can manage, explore and understand its data with greater clarity.
Practical support for the professionals collecting, managing and using research data.
Structured, hands-on REDCap training for research teams, project administrators, data managers and support staff. Realistic scenarios connect study design, data quality and everyday workflows.
Explore moreProtocol-led REDCap development with documented verification before release. We translate study requirements into structured instruments, workflows and data quality checks within your institutional environment.
Explore moreConnect 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.
Explore moreConnect research data infrastructure, dashboards and data visualisation. Permission-based AI-assisted querying and automation help researchers explore, review and use information with less repetitive preparation.
Explore moreFrom training and EDC configuration to ETL workflows and AI-assisted dashboards, we begin with the need. We consider people, data flows and institutional requirements together, then design a solution your team can understand, use and sustain.
We map research questions, team workflows, source systems and permissions before choosing the solution. Whether the work involves training, integration, infrastructure or a dashboard, we agree the scope and success criteria before implementation.
We make transformation rules, quality checks and expected outputs visible. Pipelines, reports and AI-assisted answers are checked against agreed scenarios, with findings and limitations reviewed alongside your team.
Your research and participant data remain in your institution’s own environment, under its security and access policies. ISDEM Research does not access, store or use these data. Technical delivery and documentation are planned around your institutional requirements.
Clear responsibilities. Opportunities to review. Documentation your team can use.
Review research goals, existing systems, learning needs, repetitive work and access constraints with the people involved.
Define the data flow, learning plan or system architecture. Agree permissions, responsibilities, checks and the outputs your team needs.
Deliver the training or implement the system. Test workflows, transformations and the user experience using appropriate examples and agreed scenarios.
Hand over documentation, practical guidance and operating steps. Make responsibilities for monitoring and future improvements clear.
A new study, a training programme, research data infrastructure, an automated pipeline or a dashboard that needs attention. Let’s discuss what would make your data work better for your team.
A free 30-minute introductory call to explore your priorities, with no obligation to proceed.
Please do not send participant records or sensitive research data.