Research data management (RDM) aims to control the entire data management process along the research lifecycle; from study preparation, data acquisition, data processing and statistical analysis, writing and publishing, to archiving and open data. RDM should be organized according the FAIR principles on Findability, Accessibility, Interoperability and Reusability and, where applicable, GCP requirements. It should be well documented, transparent and traceable. Legislation and growing emphasis on issues such as reproducibility, integrity of research and the requirement of subsidy providers for sharing data require specific working procedures, facilities and support.
At both locations of Amsterdam UMC, data experts provide RDM support for all clinical and non-clinical researchers. Researchers can get support on their study preparation, including writing a data management plan, their data collection (including appropriate tooling), preparing data for statistical analysis, and sharing and publication of research data. Our expertise is translated into policies, education, consultation and executive support. Moreover, we are the entrance point for requests for building research functionalities in the Electronic Health Record (EPD) Epic and for data extraction from Epic via the Research Data Platforms.
The Standard Operating Procedure (SOP) for Research Data Management describes the requirements for handling research data at Amsterdam UMC. The way you organize this must be described in a data management plan. The SOP provides requirements, explanation and links to supporting documents, templates, tooling, support and websites.
The following courses are offered:
- RDM for PhD students At location AMC via the Graduate School, three times a year. At location VUmc in collaboration with the UBVU, six times a year
- RDM (with the focus on Clinical Data Management) within the center specific BROK
- eCRF design in OpenClinica (location AMC)
The RDM helpdesk can help researchers with questions on handling data (sets), the design of software applications for data collection, data processing, data extraction, data documentation, data archiving and publishing, and support for writing a data management plan.
The Electronic Health Record (EPD) Epic contains a considerable amount of data that may be relevant for scientific research. Epic data can be made available for research either directly or via the Research Data Platforms (RDP) of both locations of Amsterdam UMC. Epic offers a number of tools for setting up an additional data collection for research and for the inclusion of patients in studies.
The RDP is a platform that pulls in clusters of data from Epic and several other sources (laboratory, biobank, imaging etc) and can deliver integrated data sets to researchers. These data clusters are defined identically across both locations of Amsterdam UMC. The RDP is secure, auditable and compliant with rules and (privacy) regulations. The RDP is continuously being expanded by linking additional data and data sources. Using the links below, researchers can browse the RDP catalogs of both Amsterdam UMC locations to identify relevant datasets and find procedures for data collection using the RDP.
- Research code (PDF)