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","1111"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","Clinical Research in Cardiology"],["dc.bibliographiccitation.lastpage","1117"],["dc.bibliographiccitation.volume","100"],["dc.contributor.author","Schwedler, Gerda"],["dc.contributor.author","Lindinger, Angelika"],["dc.contributor.author","Lange, Peter E."],["dc.contributor.author","Sax, Ulrich"],["dc.contributor.author","Olchvary, Julianna"],["dc.contributor.author","Peters, Brigitte"],["dc.contributor.author","Bauer, Ulrike"],["dc.contributor.author","Hense, Hans-Werner"],["dc.date.accessioned","2018-11-07T08:49:29Z"],["dc.date.available","2018-11-07T08:49:29Z"],["dc.date.issued","2011"],["dc.description.abstract","Background Congenital heart defects (CHD) are the most common single organ malformations in humans. A comprehensive study was initiated within the Competence Network for Congenital Heart Defects to assess population-based nationwide prevalence data for Germany. Methods Study register of demographic and medical data of live births with CHD born between July 2006 and June 2007. Results Seven thousand two hundred forty-five live births and infants with CHD were registered in Germany by 260 participating institutions (prevalence 107.6 per 10,000 live births). The most common lesions were ventricular septal defect, atrial septal defect and valvular pulmonary stenosis with 52.7, 18.3 and 6.6 per 10,000 live births, respectively. A single ventricle, tetralogy of Fallot and the complete transposition of the great arteries were the most common severe cardiac lesions (3.0, 2.7 and 2.3 per 10,000 live births). Parents reported that prenatal echocardiography had been performed in 53.8% of severe CHD cases with a cardiac defect detected in 77.5% of them. Conclusion The reported prevalences of severe CHD are within the range of regional and European comparative data. The prenatal detection rate of severe cardiovascular malformations is comparable to contemporary European registries. Postnatal diagnosis of the CHD has been made early in life."],["dc.identifier.doi","10.1007/s00392-011-0355-7"],["dc.identifier.isi","000297364000008"],["dc.identifier.pmid","21909849"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/21470"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Springer"],["dc.publisher.place","Heidelberg"],["dc.relation.issn","1861-0684"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Frequency and spectrum of congenital heart defects among live births in Germany"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["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.bibliographiccitation.firstpage","601"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Methods of Information in Medicine"],["dc.bibliographiccitation.lastpage","607"],["dc.bibliographiccitation.volume","49"],["dc.contributor.author","Helbing, Krister"],["dc.contributor.author","Demiroglu, Sara Yasemin"],["dc.contributor.author","Rakebrandt, Fabian"],["dc.contributor.author","Pommerening, K."],["dc.contributor.author","Rienhoff, Otto"],["dc.contributor.author","Sax, Ulrich"],["dc.date.accessioned","2018-11-07T08:48:08Z"],["dc.date.available","2018-11-07T08:48:08Z"],["dc.date.issued","2010"],["dc.description.abstract","Background The data protection requirements matured in parallel to new clinical tests generating more personal data since the 1960s About ten years ago it was recognized that a generic data protection scheme for medical research networks is required which reinforces patient rights but also allows economically feasible medical research compared to hand carved individual solutions Objectives To give recommendations for more efficient IT infrastructures for medical research networks in compliance with data protection requirements Methods The IT intrastructures of three medical research networks were reviewed with respect to the relevant data manage ment modules Recommendations are derived to increase cost efficiency in research net works assessing the consequences of a service provider approach without lowering the data protection level Results The existing data protection schemes are very complex Smaller research networks cannot afford the implementation of such schemes Larger networks struggle to keep them sustainable Due to a modular redesign in the medical research network community a new approach offers opportunities for an efficent sustainable IT infrastructure involving a service provider concept For standard components 70-80% of the costs could be cut down for open source components about 37% over a three year period Conclusions Future research networks should switch to a service oriented approach to achieve a sustainable, cost efficient IT infrastructure"],["dc.identifier.doi","10.3414/ME09-02-0058"],["dc.identifier.isi","000285774900007"],["dc.identifier.pmid","20644898"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/6191"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/21133"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Schattauer Gmbh-verlag Medizin Naturwissenschaften"],["dc.relation.issn","0026-1270"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","A Data Protection Scheme for Medical Research Networks Review after Five Years of Operation"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["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","1"],["dc.bibliographiccitation.issue","257"],["dc.bibliographiccitation.journal","GMS Medizinische Informatik, Biometrie und Epidemiologie"],["dc.bibliographiccitation.lastpage","6"],["dc.contributor.author","Helbing, K."],["dc.contributor.author","Reimann, L."],["dc.contributor.author","Zeiss, S."],["dc.contributor.author","Sax, Ulrich"],["dc.date.accessioned","2019-07-10T08:13:51Z"],["dc.date.available","2019-07-10T08:13:51Z"],["dc.date.issued","2010"],["dc.identifier.fs","576572"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/7567"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/61358"],["dc.language.iso","de"],["dc.notes.intern","Merged from goescholar"],["dc.relation.orgunit","Universitätsmedizin Göttingen"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.subject.ddc","610"],["dc.title","Einsatz des i2b2 Frameworks für den Secondary Use in Medizinischen Forschungsverbünden"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["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","e66"],["dc.bibliographiccitation.issue","S 01"],["dc.bibliographiccitation.journal","Methods of Information in Medicine"],["dc.bibliographiccitation.lastpage","e81"],["dc.bibliographiccitation.volume","57"],["dc.contributor.author","Haarbrandt, Birger"],["dc.contributor.author","Schreiweis, Björn"],["dc.contributor.author","Rey, Sabine"],["dc.contributor.author","Sax, Ulrich"],["dc.contributor.author","Scheithauer, Simone"],["dc.contributor.author","Rienhoff, Otto"],["dc.contributor.author","Knaup-Gregori, Petra"],["dc.contributor.author","Bavendiek, Udo"],["dc.contributor.author","Dieterich, Christoph"],["dc.contributor.author","Brors, Benedikt"],["dc.contributor.author","Kraus, Inga"],["dc.contributor.author","Thoms, Caroline"],["dc.contributor.author","Jäger, Dirk"],["dc.contributor.author","Ellenrieder, Volker"],["dc.contributor.author","Bergh, Björn"],["dc.contributor.author","Yahyapour, Ramin"],["dc.contributor.author","Eils, Roland"],["dc.contributor.author","Consortium, HiGHmed"],["dc.contributor.author","Marschollek, Michael"],["dc.date.accessioned","2020-12-10T18:47:27Z"],["dc.date.available","2020-12-10T18:47:27Z"],["dc.date.issued","2018"],["dc.description.abstract","This article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. HiGHmed brings together 24 partners from academia and industry, aiming at improvements in care provision, biomedical research and epidemiology. By establishing a shared information governance framework, data integration centers and an open platform architecture in cooperation with independent healthcare providers, the meaningful reuse of data will be facilitated. Complementary, HiGHmed integrates a total of seven Medical Informatics curricula to develop collaborative structures and processes to train medical informatics professionals, physicians and researchers in new forms of data analytics."],["dc.identifier.doi","10.3414/ME18-02-0002"],["dc.identifier.eissn","2511-705X"],["dc.identifier.issn","0026-1270"],["dc.identifier.pmid","30016813"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15525"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/78770"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.relation.eissn","2511-705X"],["dc.relation.issn","0026-1270"],["dc.relation.issn","2511-705X"],["dc.rights","CC BY-NC-ND 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by-nc-nd/4.0"],["dc.title","HiGHmed – An Open Platform Approach to Enhance Care and Research across Institutional Boundaries"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["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"]]