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, qualified data management teams 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. We translate our expertise into policies, education, consultation and executive support, and we are the entrance point for requests for Epic data and setting up an additional data collection for research in Epic.
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 via the Research Data Platforms of both locations of Amsterdam UMC. Besides that, Epic offers a number of tools for setting up an additional data collection for research and tools that can be used for the inclusion of patients in studies. Procedures for data extraction and Epic research tools can be found via in the links below.
- Research code (PDF)