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Auflistung nach Autor:in "Triebel, Dagmar"

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  • Konferenzbeitrag
    DiversityMobile – Mobile data retrieval platform for biodiversity research projects
    (Informatik 2009 – Im Focus das Leben, 2009) Jablonski, Stefan; Kehl, Alexandra; Neubacher, Dieter; Poschlod, Peter; Rambold, Gerhard; Schneider, Tobias; Triebel, Dagmar; Volz, Bernhard; Weiss, Markus
  • Textdokument
    DiversityNaviKey, a Progressive Web Application for interactive diagnosis and identification
    (INFORMATIK 2021, 2021) Triebel, Dagmar; Grunz, Ariane; Seifert, Stefan; Link, Anton; Rambold, Gerhard
    DiversityNaviKey is designed as a diagnostic tool in the field of biology and related sciences to identify organisms as well as to interactively select other entities and objects related to research based on a set of predefined properties. It allows queries on structured sources of descriptive data (trait data) to diagnose groups of objects based on combinations of optionally modified descriptor-states or values that are selected consecutively during the diagnostic process. The Web App is implemented as a single-page application and contains the entire presentation logic to dynamically change a pre-generated HTML page in the browser. The content data is accessed via a web service as JSON packages. DiversityNaviKey is a progressive web application that uses caching mechanisms of browsers, such as Service Worker and IndexedDB. Thus, the main tasks are also available in offline mode. The current set up uses the SNSB technical infrastructure and data pipelines with PostgreSQL Cache Database and the data management tool DiversityDescriptions as backend. The exemplary data sources are from various domains, two of them are large datasets from the long-term projects DEEMY and LIAS.
  • Konferenzbeitrag
    Towards an integrated biodiversity and ecological research data management and archiving platform: the German federation for the curation of biological data (GFBio)
    (Informatik 2014, 2014) Diepenbroek, Michael; Glöckner, Frank Oliver; Grobe, Peter; Güntsch, Anton; Huber, Robert; König-Ries, Birgitta; Kostadinov, Ivaylo; Nieschulze, Jens; Seeger, Bernhard; Tolksdorf, Robert; Triebel, Dagmar
    Biodiversity research brings together the many facets of biological environmental research. Its data management is characterized by integration and is particularly challenging due to the large volume and tremendous heterogeneity of the data. At the same time, it is particularly important: A lot of the data is not reproducible. Once it is gone, potential knowledge that could have been gained from it is irrevocably lost. In this paper, we describe challenges to biodiversity data management along the data life cycle and sketch the solution that is currently being developed within the GFBio project, a collaborative effort of nineteen German research institutions ranging from museums and archives to biodiversity researchers and computer scientists.