Management of Metadata Types in Basic Cardiological Research
2021-09-21 | book part. A publication with affiliation to the University of Göttingen.
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Cite this publication
Kusch, Harald, et al. "Management of Metadata Types in Basic Cardiological Research." German Medical Data Sciences 2021: Digital Medicine: Recognize – Understand – Heal, edited by Rainer Röhrig, Tim Beißbarth, Jochem König, Claudia Ose, Geraldine Rauch, Ulrich Sax, Björn Schreiweis et al., 2021, pp. 59-68. doi: 10.3233/SHTI210542.
Documents & Media
Details
- Authors
- Kusch, Harald ; Kossen, Robert ; Suhr, Markus ; Freckmann, Luca; Weber, Linus; Henke, Christian; Lehmann, Christoph; Rheinländer, Sophia ; Aschenbrandt, Georg; Kühlborn, Lea K.; Marzec, Bartlomiej; Menzel, Julia ; Schwappach-Pignataro, Blanche ; Zelarayán, Laura Cecilia ; Cyganek, Lukas ; Antonios, Gregory; Kohl, Tobias ; Lehnart, Stephan E. ; Zoremba, Marcel; Sax, Ulrich ; Nußbeck, Sara Yasemin
- Editors
- Röhrig, Rainer; Beißbarth, Tim ; König, Jochem; Ose, Claudia; Rauch, Geraldine; Sax, Ulrich ; Schreiweis, Björn; Sedlmayr, Martin
- Abstract
- Ensuring scientific reproducibility and compliance with documentation guidelines of funding bodies and journals is a topic of greatly increasing importance in biomedical research. Failure to comply, or unawareness of documentation standards can have adverse effects on the translation of research into patient treatments, as well as economic implications. In the context of the German Research Foundation-funded collaborative research center (CRC) 1002, an IT-infrastructure sub-project was designed. Its goal has been to establish standardized metadata documentation and information exchange benefitting the participating research groups with minimal additional documentation efforts.
- Issue Date
- 21-September-2021
- Project
- EXC 2067: Multiscale Bioimaging
SFB 1002: Modulatorische Einheiten bei Herzinsuffizienz
SFB 1002 | S01: In vivo und in vitro Krankheitsmodelle
SFB 1002 | S02: Hochauflösende Fluoreszenzmikroskopie und integrative Datenanalyse
SFB 1002 | INF: Unterstützung der SFB 1002 Forschungsdatenintegration, -visualisierung und -nachnutzung
SFB 1190: Transportmaschinen und Kontaktstellen zellulärer Kompartimente
SFB 1190 | Z03: Synthetische genetische Analyse, automatisierte Mikroskopie und Bildanalyse
SFB 1286: Quantitative Synaptologie
SFB 1286 | Z02: Integrative Datenanalyse und -interpretation. Generierung einer synaptisch-integrativen Datenstrategie (SynIDs) - Organization
- Institut für Medizinische Informatik ; Universitätsmedizin Göttingen
- Working Group
- RG Kusch
RG Lehnart
RG Schwappach (Membrane Protein Biogenesis)
RG Zelarayán-Behrend (Developmental Pharmacology)
RG Zimmermann (Engineered Human Myocardium)
RG Cyganek (Stem Cell Unit)
RG Nußbeck
RG Bonn - External URL
- https://mbexc.uni-goettingen.de/literature/publications/344
https://sfb1002.med.uni-goettingen.de/production/literature/publications/403
https://sfb1190.med.uni-goettingen.de/production/literature/publications/155
https://sfb1286.uni-goettingen.de/literature/publications/133 - Language
- English