Sax, Ulrich

[["dc.contributor.author","Löbe, Matthias"],["dc.contributor.author","Bialke, Martin"],["dc.contributor.author","Bienzeisler, Jonas"],["dc.contributor.author","Drepper, Johannes"],["dc.contributor.author","Ganslandt, Thomas"],["dc.contributor.author","Haderer, Sophie"],["dc.contributor.author","Kraska, Detlef"],["dc.contributor.author","Lablans, Martin"],["dc.contributor.author","Sax, Ulrich"],["dc.contributor.author","Speer, Ronald"],["dc.contributor.author","Stäubert, Sebastian"],["dc.contributor.author","Kaulke, Knut"],["dc.contributor.editor","Schreier, Günter"],["dc.contributor.editor","Pfeifer, Bernhard"],["dc.contributor.editor","Baumgartner, Martin"],["dc.contributor.editor","Hayn, Dieter"],["dc.date.accessioned","2022-06-01T09:39:49Z"],["dc.date.available","2022-06-01T09:39:49Z"],["dc.date.issued","2022"],["dc.identifier.doi","10.3233/SHTI220342"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/108569"],["dc.notes.intern","DOI-Import GROB-572"],["dc.publisher","IOS Press"],["dc.relation.eisbn","9781643682839"],["dc.relation.isbn","9781643682822"],["dc.relation.ispartof","dHealth 2022 : Proceedings of the 16th Health Informatics Meets Digital Health Conference"],["dc.title","ToolPool Gesundheitsforschung – A Repository for Software and Services Focused on Supporting Clinical and Epidemiological Research"],["dc.type","book_chapter"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1508"],["dc.bibliographiccitation.lastpage","1509"],["dc.contributor.author","Kamdje-Wabo, Gaetan"],["dc.contributor.author","Gradinger, Tobias"],["dc.contributor.author","Löbe, Matthias"],["dc.contributor.author","Lodahl, Robert"],["dc.contributor.author","Seuchter, Susanne Andrea"],["dc.contributor.author","Sax, Ulrich"],["dc.contributor.author","Ganslandt, Thomas"],["dc.contributor.editor","Ohno-Machado, Lucila"],["dc.contributor.editor","Séroussi, Brigitte"],["dc.date.accessioned","2021-06-02T14:34:16Z"],["dc.date.available","2021-06-02T14:34:16Z"],["dc.date.issued","2019-08-21"],["dc.description.abstract","The Demonstrator study aims to analyse comorbidities and rare diseases among patients from German university hospitals within the German Medical Informatics Initiative. This work aimed to design and determine the feasibility of a model to assess the quality of the claims data used in the study. Several data quality issues were identified affecting small amounts of cases in one of the participating sites. As a next step an extension to all participating sites is planned."],["dc.identifier.doi","10.3233/SHTI190508"],["dc.identifier.pmid","31438205"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/87097"],["dc.language.iso","en"],["dc.relation.ispartof","MEDINFO 2019: Health and Wellbeing e-Networks for All"],["dc.title","Towards Structured Data Quality Assessment in the German Medical Informatics Initiative: Initial Approach in the MII Demonstrator Study"],["dc.type","book_chapter"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz"],["dc.contributor.author","Schmidt, Carsten Oliver"],["dc.contributor.author","Fluck, Juliane"],["dc.contributor.author","Golebiewski, Martin"],["dc.contributor.author","Grabenhenrich, Linus"],["dc.contributor.author","Hahn, Horst"],["dc.contributor.author","Kirsten, Toralf"],["dc.contributor.author","Klammt, Sebastian"],["dc.contributor.author","Löbe, Matthias"],["dc.contributor.author","Sax, Ulrich"],["dc.contributor.author","Thun, Sylvia"],["dc.contributor.author","Wünsche, Hannes"],["dc.contributor.authorgroup","NFDI4Health Task Force Covid-19"],["dc.date.accessioned","2021-09-01T06:42:45Z"],["dc.date.available","2021-09-01T06:42:45Z"],["dc.date.issued","2021"],["dc.description.abstract","Zusammenfassung Public-Health-Forschung, epidemiologische und klinische Studien sind erforderlich, um die COVID-19-Pandemie besser zu verstehen und geeignete Maßnahmen zu ergreifen. Daher wurden auch in Deutschland zahlreiche Forschungsprojekte initiiert. Zum heutigen Zeitpunkt ist es ob der Fülle an Informationen jedoch kaum noch möglich, einen Überblick über die vielfältigen Forschungsaktivitäten und deren Ergebnisse zu erhalten. Im Rahmen der Initiative „Nationale Forschungsdateninfrastruktur für personenbezogene Gesundheitsdaten“ (NFDI4Health) schafft die „Task Force COVID-19“ einen leichteren Zugang zu SARS-CoV-2- und COVID-19-bezogenen klinischen, epidemiologischen und Public-Health-Forschungsdaten. Dabei werden die sogenannten FAIR-Prinzipien (Findable, Accessible, Interoperable, Reusable) berücksichtigt, die eine schnellere Kommunikation von Ergebnissen befördern sollen. Zu den wesentlichen Arbeitsinhalten der Taskforce gehören die Erstellung eines Studienportals mit Metadaten, Erhebungsinstrumenten, Studiendokumenten, Studienergebnissen und Veröffentlichungen sowie einer Suchmaschine für Preprint-Publikationen. Weitere Inhalte sind ein Konzept zur Verknüpfung von Forschungs- und Routinedaten, Services zum verbesserten Umgang mit Bilddaten und die Anwendung standardisierter Analyseroutinen für harmonisierte Qualitätsbewertungen. Die im Aufbau befindliche Infrastruktur erleichtert die Auffindbarkeit von und den Umgang mit deutscher COVID-19-Forschung. Die im Rahmen der NFDI4Health Task Force COVID-19 begonnenen Entwicklungen sind für weitere Forschungsthemen nachnutzbar, da die adressierten Herausforderungen generisch für die Auffindbarkeit von und den Umgang mit Forschungsdaten sind."],["dc.description.abstract","Abstract Public health research and epidemiological and clinical studies are necessary to understand the COVID-19 pandemic and to take appropriate action. Therefore, since early 2020, numerous research projects have also been initiated in Germany. However, due to the large amount of information, it is currently difficult to get an overview of the diverse research activities and their results. Based on the “Federated research data infrastructure for personal health data” (NFDI4Health) initiative, the “COVID-19 task force” is able to create easier access to SARS-CoV-2- and COVID-19-related clinical, epidemiological, and public health research data. Therefore, the so-called FAIR data principles (findable, accessible, interoperable, reusable) are taken into account and should allow an expedited communication of results. The most essential work of the task force includes the generation of a study portal with metadata, selected instruments, other study documents, and study results as well as a search engine for preprint publications. Additional contents include a concept for the linkage between research and routine data, a service for an enhanced practice of image data, and the application of a standardized analysis routine for harmonized quality assessment. This infrastructure, currently being established, will facilitate the findability and handling of German COVID-19 research. The developments initiated in the context of the NFDI4Health COVID-19 task force are reusable for further research topics, as the challenges addressed are generic for the findability of and the handling with research data."],["dc.description.abstract","Zusammenfassung Public-Health-Forschung, epidemiologische und klinische Studien sind erforderlich, um die COVID-19-Pandemie besser zu verstehen und geeignete Maßnahmen zu ergreifen. Daher wurden auch in Deutschland zahlreiche Forschungsprojekte initiiert. Zum heutigen Zeitpunkt ist es ob der Fülle an Informationen jedoch kaum noch möglich, einen Überblick über die vielfältigen Forschungsaktivitäten und deren Ergebnisse zu erhalten. Im Rahmen der Initiative „Nationale Forschungsdateninfrastruktur für personenbezogene Gesundheitsdaten“ (NFDI4Health) schafft die „Task Force COVID-19“ einen leichteren Zugang zu SARS-CoV-2- und COVID-19-bezogenen klinischen, epidemiologischen und Public-Health-Forschungsdaten. Dabei werden die sogenannten FAIR-Prinzipien (Findable, Accessible, Interoperable, Reusable) berücksichtigt, die eine schnellere Kommunikation von Ergebnissen befördern sollen. Zu den wesentlichen Arbeitsinhalten der Taskforce gehören die Erstellung eines Studienportals mit Metadaten, Erhebungsinstrumenten, Studiendokumenten, Studienergebnissen und Veröffentlichungen sowie einer Suchmaschine für Preprint-Publikationen. Weitere Inhalte sind ein Konzept zur Verknüpfung von Forschungs- und Routinedaten, Services zum verbesserten Umgang mit Bilddaten und die Anwendung standardisierter Analyseroutinen für harmonisierte Qualitätsbewertungen. Die im Aufbau befindliche Infrastruktur erleichtert die Auffindbarkeit von und den Umgang mit deutscher COVID-19-Forschung. Die im Rahmen der NFDI4Health Task Force COVID-19 begonnenen Entwicklungen sind für weitere Forschungsthemen nachnutzbar, da die adressierten Herausforderungen generisch für die Auffindbarkeit von und den Umgang mit Forschungsdaten sind."],["dc.description.abstract","Abstract Public health research and epidemiological and clinical studies are necessary to understand the COVID-19 pandemic and to take appropriate action. Therefore, since early 2020, numerous research projects have also been initiated in Germany. However, due to the large amount of information, it is currently difficult to get an overview of the diverse research activities and their results. Based on the “Federated research data infrastructure for personal health data” (NFDI4Health) initiative, the “COVID-19 task force” is able to create easier access to SARS-CoV-2- and COVID-19-related clinical, epidemiological, and public health research data. Therefore, the so-called FAIR data principles (findable, accessible, interoperable, reusable) are taken into account and should allow an expedited communication of results. The most essential work of the task force includes the generation of a study portal with metadata, selected instruments, other study documents, and study results as well as a search engine for preprint publications. Additional contents include a concept for the linkage between research and routine data, a service for an enhanced practice of image data, and the application of a standardized analysis routine for harmonized quality assessment. This infrastructure, currently being established, will facilitate the findability and handling of German COVID-19 research. The developments initiated in the context of the NFDI4Health COVID-19 task force are reusable for further research topics, as the challenges addressed are generic for the findability of and the handling with research data."],["dc.identifier.doi","10.1007/s00103-021-03386-x"],["dc.identifier.pii","3386"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/89135"],["dc.language.iso","de"],["dc.notes.intern","DOI-Import GROB-455"],["dc.relation.eissn","1437-1588"],["dc.relation.issn","1436-9990"],["dc.title","COVID-19-Forschungsdaten leichter zugänglich machen – Aufbau einer bundesweiten Informationsinfrastruktur"],["dc.title.translated","Making COVID-19 research data more accessible—building a nationwide information infrastructure"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Löbe, Matthias"],["dc.contributor.author","Ulrich, Hannes"],["dc.contributor.author","Beger, Christoph"],["dc.contributor.author","Bender, Theresa"],["dc.contributor.author","Bauer, Christian"],["dc.contributor.author","Sax, Ulrich"],["dc.contributor.author","Ingenerf, Josef"],["dc.contributor.author","Winter, Alfred"],["dc.contributor.editor","Otero, Paula"],["dc.contributor.editor","Scott, Philip"],["dc.contributor.editor","Martin, Susan Z."],["dc.contributor.editor","Huesing, Elaine"],["dc.date.accessioned","2022-07-01T07:35:27Z"],["dc.date.available","2022-07-01T07:35:27Z"],["dc.date.issued","2022"],["dc.identifier.doi","10.3233/SHTI220032"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/112175"],["dc.notes.intern","DOI-Import GROB-581"],["dc.publisher","IOS Press"],["dc.relation.crisseries","Studies in Health Technology and Informatics"],["dc.relation.eisbn","9781643682655"],["dc.relation.isbn","9781643682648"],["dc.relation.ispartof","MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation : Proceedings of the 18th World Congress on Medical and Health Informatics"],["dc.title","Improving Findability of Digital Assets in Research Data Repositories Using the W3C DCAT Vocabulary"],["dc.type","book_chapter"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]