Research Data Management Back
Adequate research data management is at the basis of research quality, integrity and reproducibility. A researcher should be in control of his or her data through the entire research data life cycle: from study preparation and data collection, data processing and data analysis, to publishing and archiving. Both AMC and funding agencies request a data management plan and publishers increasingly require data to be available. But, what is actually a data management plan? How to enhance the quality of data collected during research? And how to share a dataset?
This course replaces the former Clinical Data Management course and addresses the broader concept of Research Data Management through the biomedical research data lifecycle. Participants will be guided current concepts, working procedures and tooling on data management. They will learn how to define, collect and process your data in order to deliver a reliable data set for data analysis and future reuse.