Supporting CRC 1002 research data integration, visualization and reusability (INF)

• Subject Area: Medicine
• Term: since 2012
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 193793266

INF has developed innovative research data structures which have been a tremendous support to all CRC 1002 projects and to many projects outside the CRC. In the next funding period, INF will focus on: (1) Integration and visualization of clinical and biospecimen data as well as imaging and omics data from aortic valve stenosis patients; (2) Integration and visualization of echocardiographic datasets from wildtype versus transgenic mouse models of heart failure with omics-type data; (3) Optimization of existing Research Data Platform (RDP) modules with a focus on reusability of data; (4) Implementation of a regular process for data quality control; and (5) Enhancing the menoci RDP software code and documentation quality for sustainable open source licensing.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1002: Modulatory Units in Heart Failure
• Applicant Institution: Georg-August-Universität Göttingen
• Project Heads: Privatdozentin Dr. Sara Nußbeck; Professorin Dr. Laura C. Zelarayan-Behrend