Sax, Ulrich

[["dc.contributor.author","Bauer, Christian R."],["dc.contributor.author","Knopp, Cornelius"],["dc.contributor.author","Bender, Theresa"],["dc.contributor.author","Kusch, Harald"],["dc.contributor.author","Sax, Ulrich"],["dc.creator.author","Ulrich Sax"],["dc.creator.author","Christian R. Bauer"],["dc.creator.author","Theresa Bender"],["dc.creator.author","Harald Kusch"],["dc.creator.author","Cornelius Knopp"],["dc.date.accessioned","2019-10-16T07:41:00Z"],["dc.date.available","2019-10-16T07:41:00Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.3205/18gmds093"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/62502"],["dc.identifier.url","https://sfb1002.med.uni-goettingen.de/production/literature/publications/227"],["dc.language.iso","en"],["dc.relation","SFB 1002: Modulatorische Einheiten bei Herzinsuffizienz"],["dc.relation","SFB 1002 | INF: Unterstützung der SFB 1002 Forschungsdatenintegration, -visualisierung und -nachnutzung"],["dc.relation.conference","63. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS)"],["dc.relation.eventlocation","Osnabrück"],["dc.relation.eventstart","2018"],["dc.relation.workinggroup","RG Nußbeck"],["dc.title","Application of basic research data management with FAIRDOM/SEEK from a medical informatics perspective"],["dc.type","conference_abstract"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","326"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Future Generation Computer Systems"],["dc.bibliographiccitation.lastpage","336"],["dc.bibliographiccitation.volume","25"],["dc.contributor.author","Krefting, Dagmar"],["dc.contributor.author","Bart, Julian"],["dc.contributor.author","Beronov, Kamen"],["dc.contributor.author","Dzhimova, Olga"],["dc.contributor.author","Falkner, Jürgen"],["dc.contributor.author","Hartung, Michael"],["dc.contributor.author","Hoheisel, Andreas"],["dc.contributor.author","Knoch, Tobias A."],["dc.contributor.author","Lingner, Thomas"],["dc.contributor.author","Mohammed, Yassene"],["dc.contributor.author","Peter, Kathrin"],["dc.contributor.author","Rahm, Erhard"],["dc.contributor.author","Sax, Ulrich"],["dc.contributor.author","Sommerfeld, Dietmar"],["dc.contributor.author","Steinke, Thomas"],["dc.contributor.author","Tolxdorff, Thomas"],["dc.contributor.author","Vossberg, Michal"],["dc.contributor.author","Viezens, Fred"],["dc.contributor.author","Weisbecker, Anette"],["dc.date.accessioned","2021-10-22T11:02:55Z"],["dc.date.available","2021-10-22T11:02:55Z"],["dc.date.issued","2009"],["dc.identifier.doi","10.1016/j.future.2008.05.005"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/91227"],["dc.identifier.url","https://publications.goettingen-research-online.de/handle/2/17267"],["dc.relation.issn","0167-739X"],["dc.relation.orgunit","Gesellschaft für wissenschaftliche Datenverarbeitung"],["dc.title","MediGRID: Towards a user friendly secured grid infrastructure"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","280"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Journal of Computational Science"],["dc.bibliographiccitation.lastpage","297"],["dc.bibliographiccitation.volume","3"],["dc.contributor.author","Dickmann, Frank"],["dc.contributor.author","Falkner, Juergen"],["dc.contributor.author","Gunia, Wilfried"],["dc.contributor.author","Hampe, Jochen"],["dc.contributor.author","Hausmann, Michael"],["dc.contributor.author","Herrmann, Alexander M."],["dc.contributor.author","Kepper, Nick"],["dc.contributor.author","Knoch, Tobias A."],["dc.contributor.author","Lauterbach, Svenja"],["dc.contributor.author","Lippert, Joerg"],["dc.contributor.author","Peter, Kathrin"],["dc.contributor.author","Schmitt, Eberhard"],["dc.contributor.author","Schwardmann, Ulrich"],["dc.contributor.author","Solodenko, Juri"],["dc.contributor.author","Sommerfeld, Dietmar"],["dc.contributor.author","Steinke, Thomas"],["dc.contributor.author","Weisbecker, Anette"],["dc.contributor.author","Sax, Ulrich"],["dc.date.accessioned","2018-11-07T09:07:00Z"],["dc.date.available","2018-11-07T09:07:00Z"],["dc.date.issued","2012"],["dc.description.abstract","The project Services@MediGRID consortium established a tool set of grid-based biomedical services since 2008. The services are related to genetic analysis, genome data visualization, and pharmacokinetic modeling. Furthermore, business concepts for these services have been examined which are supported by an accounting and billing service. While the tools cover a whole service chain for biomedicine, the business concepts are rather heterogeneous. However, the overall addressed target market areas show promising potential. In addition, a structured coaching process reduces friction in the technology transfer from grid computing to biomedicine. This should be considered for similar future endeavors. (C) 2011 Elsevier B.V. All rights reserved."],["dc.identifier.doi","10.1016/j.jocs.2011.06.006"],["dc.identifier.isi","000327164400006"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/25688"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","1877-7503"],["dc.relation.orgunit","Gesellschaft für wissenschaftliche Datenverarbeitung"],["dc.title","Solutions for biomedical grid computing-Case studies from the D-Grid project Services@MediGRID"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Löhnhardt, Benjamin"],["dc.contributor.author","Bohrer, Reiner"],["dc.contributor.author","Sax, Ulrich"],["dc.date.accessioned","2021-10-20T13:50:30Z"],["dc.date.available","2021-10-20T13:50:30Z"],["dc.date.issued","2013"],["dc.identifier.doi","10.3205/13gmds136"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/91074"],["dc.language.iso","de"],["dc.relation.conference","GMDS 2013. 58. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V."],["dc.relation.eventend","2013-09-05"],["dc.relation.eventlocation","Lübeck"],["dc.relation.eventstart","2013-09-01"],["dc.relation.orgunit","Gesellschaft für wissenschaftliche Datenverarbeitung"],["dc.title","Aspekte des Managements von NGS-Daten am Standort Göttingen"],["dc.type","conference_abstract"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","419"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Applied Clinical Informatics"],["dc.bibliographiccitation.lastpage","429"],["dc.bibliographiccitation.volume","1"],["dc.contributor.author","Prokosch, H. U."],["dc.contributor.author","Beck, A."],["dc.contributor.author","Ganslandt, T."],["dc.contributor.author","Hummel, Michael"],["dc.contributor.author","Kiehntopf, Michael"],["dc.contributor.author","Sax, Ulrich"],["dc.contributor.author","Ueckert, F."],["dc.contributor.author","Semler, S."],["dc.date.accessioned","2018-11-07T08:47:01Z"],["dc.date.available","2018-11-07T08:47:01Z"],["dc.date.issued","2010"],["dc.description.abstract","Objective: Within translational research projects in the recent years large biobanks have been established, mostly supported by homegrown, proprietary software solutions. No general requirements for biobanking IT infrastructures have been published yet. This paper presents an exemplary biobanking IT architecture, a requirements specification for a biorepository management tool and exemplary illustrations of three major types of requirements. Methods: We have pursued a comprehensive literature review for biobanking IT solutions and established an interdisciplinary expert panel for creating the requirements specification. The exemplary illustrations were derived from a requirements analysis within two university hospitals. Results: The requirements specification comprises a catalog with more than 130 detailed requirements grouped into 3 major categories and 20 subcategories. Special attention is given to multitenancy capabilities in order to support the project-specific definition of varying research and biobanking contexts, the definition of workflows to track sample processing, sample transportation and sample storage and the automated integration of preanalytic handling and storage robots. Conclusion: IT support for biobanking projects can be based on a federated architectural framework comprising primary data sources for clinical annotations, a pseudonymization service, a clinical data warehouse with a flexible and user-friendly query interface and a biorepository management system. Flexibility and scalability of all such components are vital since large medical facilities such as university hospitals will have to support biobanking for varying monocentric and multicentric research scenarios and multiple medical clients."],["dc.description.sponsorship","Deutsche Forschungsgemeinschaft [KFO 179]; TMF eV"],["dc.identifier.doi","10.4338/ACI-2010-05-RA-0034"],["dc.identifier.isi","000208686400006"],["dc.identifier.pmid","23616851"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/20841"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Schattauer Gmbh-verlag Medizin Naturwissenschaften"],["dc.relation.issn","1869-0327"],["dc.title","IT Infrastructure Components for Biobanking"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","363"],["dc.bibliographiccitation.lastpage","367"],["dc.contributor.author","Suhr, Markus"],["dc.contributor.author","Umbach, Nadine"],["dc.contributor.author","Meyer, Tim"],["dc.contributor.author","Zimmermann, Wolfram-Hubertus"],["dc.contributor.author","Sax, Ulrich"],["dc.contributor.editor","Ohno-Machado, Lucila"],["dc.contributor.editor","Séroussi, Brigitte"],["dc.date.accessioned","2022-05-13T08:13:00Z"],["dc.date.available","2022-05-13T08:13:00Z"],["dc.date.issued","2019-08-21"],["dc.description.abstract","Methods for cardiac tissue engineering and application in experiments are core technologies developed at the Institute of Pharmacology and Toxicology in Göttingen. As is the case in many academic research laboratories data capture and documentation may be improved to latest methods of digital research. A comprehensive information system infrastructure is the foundation of further advances toward automation of lab processes. A data management system concept is proposed and prototypically deployed that enables traceability of assets within the lab and reproducibility of published assays and results. The prototype integrates existing electronic lab notebook, experiment result database, and a newly introduced research data management system by means of a custom developed portal and integration component. The architecture concept and developed integration tools explore connection of routine experimental work in a biomedical research lab to a universal infrastructure of data."],["dc.identifier.doi","10.3233/SHTI190244"],["dc.identifier.pmid","31437946"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/107853"],["dc.identifier.url","https://sfb1002.med.uni-goettingen.de/production/literature/publications/306"],["dc.language.iso","en"],["dc.relation","SFB 1002: Modulatorische Einheiten bei Herzinsuffizienz"],["dc.relation","SFB 1002 | INF: Unterstützung der SFB 1002 Forschungsdatenintegration, -visualisierung und -nachnutzung"],["dc.relation.ispartof","MEDINFO 2019: Health and Wellbeing e-Networks for All"],["dc.relation.workinggroup","RG Nußbeck"],["dc.relation.workinggroup","RG Zimmermann (Engineered Human Myocardium)"],["dc.title","Cardiac Tissue Engineering as Use Case to Connect Biomedical Research Laboratories to an Emerging Global Data Infrastructure"],["dc.type","book_chapter"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","9"],["dc.bibliographiccitation.journal","Clinical Research in Cardiology"],["dc.bibliographiccitation.volume","97"],["dc.contributor.author","Kuehne, Titus"],["dc.contributor.author","Mueller, S."],["dc.contributor.author","Sarikouch, Samir"],["dc.contributor.author","Beerbaum, Philipp"],["dc.contributor.author","Gutberlet, Matthias"],["dc.contributor.author","Franke, D."],["dc.contributor.author","Sax, Ulrich"],["dc.contributor.author","Lange, P."],["dc.date.accessioned","2018-11-07T11:11:12Z"],["dc.date.available","2018-11-07T11:11:12Z"],["dc.date.issued","2008"],["dc.format.extent","688"],["dc.identifier.isi","000258897900078"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/53374"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Dr Dietrich Steinkopff Verlag"],["dc.publisher.place","Heidelberg"],["dc.relation.issn","1861-0684"],["dc.title","The Tele-radio-logical network for central interpretation and archiving of MRT-image date: 3 years experience in cardiac-vascular research grouping"],["dc.type","conference_abstract"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","297"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Distributed and Parallel Databases"],["dc.bibliographiccitation.lastpage","321"],["dc.bibliographiccitation.volume","37"],["dc.contributor.author","Wiese, Ingmar"],["dc.contributor.author","Sarna, Nicole"],["dc.contributor.author","Wiese, Lena"],["dc.contributor.author","Tashkandi, Araek"],["dc.contributor.author","Sax, Ulrich"],["dc.date.accessioned","2020-05-25T13:20:07Z"],["dc.date.available","2020-05-25T13:20:07Z"],["dc.date.issued","2018"],["dc.description.abstract","Efficient identification of cohorts of similar patients is a major precondition for personalized medicine. In order to train prediction models on a given medical data set, similarities have to be calculated for every pair of patients—which results in a roughly quadratic data blowup. In this paper we discuss the topic of in-database patient similarity analysis ranging from data extraction to implementing and optimizing the similarity calculations in SQL. In particular, we introduce the notion of chunking that uniformly distributes the workload among the individual similarity calculations. Our benchmark comprises the application of one similarity measures (Cosine similariy) and one distance metric (Euclidean distance) on two real-world data sets; it compares the performance of a column store (MonetDB) and a row store (PostgreSQL) with two external data mining tools (ELKI and Apache Mahout)."],["dc.identifier.doi","10.1007/s10619-018-7249-x"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65959"],["dc.language.iso","en"],["dc.relation.issn","0926-8782"],["dc.title","Concept acquisition and improved in-database similarity analysis for medical data"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","S369"],["dc.bibliographiccitation.journal","European Neuropsychopharmacology"],["dc.bibliographiccitation.volume","27"],["dc.contributor.author","Flatau, Laura"],["dc.contributor.author","Umbach, Nadine"],["dc.contributor.author","Sax, Ulrich"],["dc.contributor.author","Beißbarth, Tim"],["dc.contributor.author","Duttge, Gunnar"],["dc.contributor.author","Schweda, Mark"],["dc.contributor.author","Schulze, Thomas"],["dc.date.accessioned","2020-04-02T07:08:01Z"],["dc.date.available","2020-04-02T07:08:01Z"],["dc.date.issued","2017"],["dc.identifier.doi","10.1016/j.euroneuro.2016.09.396"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/63459"],["dc.relation.issn","0924-977X"],["dc.title","The Use of Genomic Information In Medical Practice: A Survey on People’s Knowledge, Expectations, And Fears"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Knopp, Cornelius"],["dc.contributor.author","Bauer, Christian R. K. D."],["dc.contributor.author","Baum, Benjamin"],["dc.contributor.author","Löhnhardt, Benjamin"],["dc.contributor.author","Nietert, Manuel Manfred"],["dc.contributor.author","Beißbarth, Tim"],["dc.contributor.author","Sax, Ulrich"],["dc.date.accessioned","2020-03-27T11:22:14Z"],["dc.date.available","2020-03-27T11:22:14Z"],["dc.date.issued","2016"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/63384"],["dc.notes.preprint","yes"],["dc.relation.conference","Conference: HEC 2016 - Health-Exploring Complexity: An Interdisciplinairy Systems Approach"],["dc.relation.eventlocation","München"],["dc.relation.eventstart","2016-08"],["dc.relation.iserratumof","yes"],["dc.title","A validatable data management solution for multi-center research consortia: research data management with openBIS"],["dc.type","conference_paper"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]