ProjectABIDE_MI – Biobanken und DIZ effizient aufeinander abstimmen (Aligning Biobanking and DIC Efficiently)

Basic data

Biobanken und DIZ effizient aufeinander abstimmen (Aligning Biobanking and DIC Efficiently)
01/05/2021 to 31/10/2022
Abstract / short description:
The aim of the project is to enable the Data Integration Centers (DIC) of the Medical Informatics Initiative (MII) to support research usage of biospecimens linked to routine care data, including feasibility queries via the future MII-ZARS .
During the project phase, the data of interest will comprise (i) the basic modules of the MII core dataset, (ii) the extended core dataset biospecimen module and (ii) newly developed extended core dataset modules based on the GECCO COVID-19 dataset. By also focusing upon the latter, the project will specifically sustain the research use of both data and samples of COVID-19 patients currently documented in the large German COVID-19 FoDaPl project (Forschungsdatenplattform = Research Data Platform) by German university hospitals.
The long-term perspective of the MII will ensure that the outcome of the present project will be scalable so as to accommodate future extensions of the dataset modules used.
This project will pursue an interdisciplinary approach, bringing together the achievements and experience of the MII, the German Biobank Node (GBN) and the biobanks of the German Biobank Alliance (GBA) in one sustainable health IT infrastructure that will be associated with the local MII-DIC and, at a national level, a central portal fully integrated into the planned MII-ZARS.
This project partly builds on work to be pursued within the FoDaPl project which aims to establish a national data and technology platform targeting COVID-19 supported by the German university medicine centers (September 2020 – March 2021).
In this project, we will develop, use and make sustainably available
1. methods to enable MII-DIC to link patient data with information on associated biospecimens as collected in the health care context (i.e. not including clinical trials, research consortia and cohorts) by university hospitals and stored in their associated biobanks,
2. a central FHIR-based, MII-wide query and analysis portal that supports identification of patient groups with respective biospecimens suitable for a particular research project and also supports actual data analysis
across all participating university hospitals,
(a first version of this portal will already be provided within the FoDaPl project, work within ABIDE_MI will focus on further enhancements and making the portal sustainable as an integrated part of the MII ZARS)
3. tools that can easily be deployed as SaaS (software as a service) containers to new partners joining the network at a later stage,
4. a scalable infrastructure that allows seamless connection of the MII-DIC to the European BBMRI-ERIC CS-IT portal to manage health care-derived biospecimens.

Involved staff


Faculty of Science
University of Tübingen
Wilhelm Schickard Institute of Computer Science (WSI)
Department of Informatics, Faculty of Science
Center for Bioinformatics (ZBIT)
Faculty of Science
Quantitative Biology Center (QBIC)
Central cross-faculty facilities
Institute for Bioinformatics and Medical Informatics (IBMI)
Interfaculty Institutes

Contact persons

Faculty of Medicine
University of Tübingen
Research training group: Intraoperative multi-sensor tissue identification in oncology
Research training groups

Local organizational units

Faculty of Medicine
University of Tübingen
Center for Bioinformatics (ZBIT) †
Faculty of Science
University of Tübingen


Bonn, Nordrhein-Westfalen, Germany

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