Please use this identifier to cite or link to this item: doi:10.22028/D291-40789
Title: Aviator: a web service for monitoring the availability of web services
Author(s): Fehlmann, Tobias
Kern, Fabian
Hirsch, Pascal
Steinhaus, Robin
Seelow, Dominik
Keller, Andreas
Language: English
Title: Nucleic Acids Research
Volume: 49
Issue: W1
Pages: W46-W51
Publisher/Platform: Oxford University Press
Year of Publication: 2021
DDC notations: 610 Medicine and health
Publikation type: Journal Article
Abstract: With Aviator, we present a web service and repository that facilitates surveillance of online tools. Aviator consists of a user-friendly website and two modules, a literature-mining based general and a manually curated module. The general module currently checks 9417 websites twice a day with respect to their availability and stores many features (frontend and backend response time, required RAM and size of the web page, security certificates, analytic tools and trackers embedded in the webpage and others) in a data warehouse. Aviator is also equipped with an analysis functionality, for example authors can check and evaluate the availability of their own tools or those of their peers. Likewise, users can check the availability of a certain tool they intend to use in research or teaching to avoid including unstable tools. The curated section of Aviator offers additional services. We provide API snippets for common programming languages (Perl, PHP, Python, JavaScript) as well as an OpenAPI documentation for embedding in the backend of own web services for an automatic test of their function. We query the respective APIs twice a day and send automated notifications in case of an unexpected result. Naturally, the same analysis functionality as for the literature-based module is available for the curated section. Aviator can freely be used at https://www.ccb.uni-saarland.de/aviator.
DOI of the first publication: 10.1093/nar/gkab396
URL of the first publication: https://doi.org/10.1093/nar/gkab396
Link to this record: urn:nbn:de:bsz:291--ds-407891
hdl:20.500.11880/36659
http://dx.doi.org/10.22028/D291-40789
ISSN: 1362-4962
0305-1048
Date of registration: 23-Oct-2023
Faculty: M - Medizinische Fakultät
Department: M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
Professorship: M - Univ.-Prof. Dr. Andreas Keller
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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