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DiversityNaviKey, a Progressive Web Application for interactive diagnosis and identification

Title data

Triebel, Dagmar ; Grunz, Ariane ; Seifert, Stefan ; Link, Anton ; Rambold, Gerhard:
DiversityNaviKey, a Progressive Web Application for interactive diagnosis and identification.
In: INFORMATIK 2021 : Computer Science & Sustainability. - Bonn : Gesellschaft für Informatik , 2021 . - pp. 517-538
ISBN 978-3-88579-708-1
DOI: https://doi.org/10.18420/informatik2021-040

Project information

Project title:
Project's official titleProject's id
SFB 1357 Mikroplastik391977956

Project financing: Deutsche Forschungsgemeinschaft

Abstract in another language

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.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Diagnosis; identification; PostgreSQL Cache DB; RESTful web service; single-page
application; vue.js; offline use; use cases DEEMY and LIAS
Institutions of the University: Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology > Professor Mycology > Professor Mycology - Univ.-Prof. Dr. Gerhard Rambold
Profile Fields > Advanced Fields > Ecology and the Environmental Sciences
Research Institutions > Research Centres > Bayreuth Center of Ecology and Environmental Research- BayCEER
Research Institutions > Collaborative Research Centers, Research Unit > SFB 1357 - MIKROPLASTIK
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
000 Computer Science, information, general works > 020 Library and information sciences
000 Computer Science, information, general works > 060 General organizations, museology
500 Science > 510 Mathematics
500 Science > 570 Life sciences, biology
Date Deposited: 23 Dec 2021 07:19
Last Modified: 23 Dec 2021 07:19
URI: https://eref.uni-bayreuth.de/id/eprint/68235