To guarantee data quality and safety, optimize data sharing and reuse of data, researchers need to consider an infrastructure on procedures, policies and practices to manage the collected research data according to the FAIR principle (Findable – Accessible – Interoperable – Reusable). Advices are given on managing data, customized implementation of an electronic data capture system for clinical and/or imaging data.
- Advise in writing data management sections or plans:
- Researchers have to answer several questions on data management in the data management section of a research proposal. The most important aim of the data management section in the proposal is to enhance awareness among researchers on data management.
After granting a research proposal, most funding organizations require you to submit a Data Management Plan (DMP) to be submitted. Funding programs request researchers to draft a DMP to ensure that data will be stored according the FAIR (Findable, Accessible, Interoperable and Re-usable) principles for scientific data management.
- Researchers have to answer several questions on data management in the data management section of a research proposal. The most important aim of the data management section in the proposal is to enhance awareness among researchers on data management.
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Customized implementation in setting up an infrastructure for collection and (longterm) storage of data, biomaterials and images (in close cooperation with Health-RI) e.g.:
- eCRF for electronic datacapture
- Building eCRFs in REDCap and CastorEDC
- Hosting REDCap projects
- Migrating data from/to REDCap and other systems
- Support using REDCap within your project
- implement an image archive for cardiac images
- eCRF for electronic datacapture
