Data in biobanking An emerging new era for data management

Transcription

1 3. Main Topic DATA (Sessions C1-5) Data in biobanking An emerging new era for data management Medical University of Graz 21 / 43

2 C1 - Medical imaging and biobanking (radiology and digital pathology) Jan-Eric Litton (BBMRI-ERIC, AT) Emanuele Neri (Università di Pisa, IT) The European Biobanking and BioMolecular resources Research Infrastructure (BBMRI-ERIC) and the European Society of Radiology (ESR) established an official collaboration in November 2015, signing a Memorandum of Understanding, which will facilitate development in the integration of imaging data with biobank databases. The main goals of the collaboration are to promote the importance and visibility of biomarkers, to coordinate efforts to establish a European imaging biobank infrastructure, and to ensure its linking to existing biobanks. Hans-Hulrich Kauczor (DE): The ESR-BBMRI memorandum of understanding: the basis of integration between radiology and digital pathology Petr Holub (BBMRI-ERIC, AT)/Bernard Gibaud (FR): Biobanks and Imaging: the bioinformatic challenge, from MIABIS to DICOM Göran Bergström (SE): The Swedish CArdioPulmonary bioimaging Stydy SCAPIS Alan Jackson (UK) Q & A 22 / 43

3 C2 - How to implement data protection - IT tools Michael Hummel (Charité - Universitätsmedizin Berlin, DE) Jason Carr (SuprTecBox, IRL) This session will cover the following topics: Introduction and overview Methods to anonymise genetic data Tools for pseudo-anonymization and/or anonymization Data protection in a de-centralised environment Data protection in the Cloud Klaus Kuhn (TU München, DE): Anonymization Tools Speakers selected from abstracts 23 / 43

4 C3 - Biobanks as data and knowledge infrastructures Kurt Zatloukal (Med Univ. Graz, AT) Elke Smits (Antwerp University Hospital, NL) Biological samples can be considered as biological storage devices for key information on human diseases, which becomes readable by analysis with a variety of omics technologies. The combination of molecular data on the disease and medical data on the patient generates unprecedented opportunities for knowledge generation. The Workshop should provide insight how advanced information technologies can generate valuable new insight into human health and disease. Kurt Zatloukal (Med Univ. Graz, AT)/Elke Smits (Antwerp University Hospital, NL): "Introduction to the topic Clemens Suter- Crazzolara (SAP, DE) "Big data analytics of medical data - contributions from industry expects" (provisional) Andre Sander (ID-Berlin, DE): Ontologies and semantic text mining Speakers selected from abstracts 24 / 43

5 C4 - Multi-omics data integration and visualization GertJan van Ommen (LUMC, NL) Dimitris Thanos In the BBMRI-NL framework, consecutive efforts have generated nested 'omics' data sets from the country's large population biobanks. This started with the complete sequencing of 250 trios spread over the country, followed up by the collection and analysis of epigenetics, transcriptomics and metabolomics data of, respectively, 6.000, and individuals, the larger sets encompassing the smaller ones and the original GoNL set - which has a high imputation accuracy to larger numbers. Several analytical and visualization tools have been developed and the highlights of current status will be discussed. Chair: GertJan van Ommen (LUMC, NL): Introduction to the topic Eline Slagboom: Epigenomics and Metabolomics Lude Franke: Transcriptomics and data integration Peter 'thoen: Statistical analysis and multi-omics bioinformatics Discussion 25 / 43

6 C5 - Integration of routine clinical data into research/biobanks Petra Duhm-Harbeck (IT for Clinical Research, Luebeck (ITCR-L) University of Luebeck, Germany ) Reinhard Thasler ( Biobank i.a. HTCR am KUM, Germany) This session will mount the huge scope of Integration of routine clinical data into research / biobanks as pressing issue with two initial speakers from nearly the most opposite parts of Europe: namely Tartu, Estonia and Graz, Austria. Because from an epidemiological point of view, health care data integration sets deeply genotyped cohorts on the highway for developing precision medicine and to the other hand clinical biobanks are tethered to the actual reality of patient data integration from hospital routine. Having set the stage for discussion, we invite all kinds of biomedical research projects to show 1) how they realized integration of routine clinical data into research / biobanks, e.g. concerning legal requirements, organisational setup and IT, 2) how this fosters provision of quality data and samples to researchers - and 3) how research data can reach clinical reality for boosting precision medicine. Andres Metspalu (The Estonian Genome Center, University of Tartu, EE): From Biobanking to Precision Medicine and beyond: the Estonian Experience Berthold Huppertz (Biobank Graz, Medical University of Graz, AT) Speakers selected from abstracts 26 / 43