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Ronda: Real-Time Data Provision, Processing and Publication for Open Data

 
: Kirstein, Fabian; Bacher, Dario; Bohlen, Vincent; Schimmler, Sonja

:
Volltext urn:nbn:de:0011-n-6407192 (350 KByte PDF)
MD5 Fingerprint: 5af1ab6ecdb4209478791a602d439fd8
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Erstellt am: 2.10.2021


Scholl, Hans Jochen (Editor) ; International Federation for Information Processing -IFIP-; International Federation for Information Processing -IFIP-, Working Group Information Systems in Public Administration:
Electronic Government. 20th IFIP WG 8.5 International Conference, EGOV 2021. Proceedings : Granada, Spain, September 7-9, 2021
Cham: Springer Nature, 2021 (Lecture Notes in Computer Science 12850)
ISBN: 978-3-030-84788-3 (Print)
ISBN: 978-3-030-84789-0 (Online)
ISBN: 978-3-030-84790-6
S.165-177
International Conference on Electronic Government (EGOV) <20, 2021, Granada>
Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
01MD18009A; QuarZ
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
16DII117
Deutsches Internet-Institut
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer FOKUS ()
Open Data; Big Data; real-time

Abstract
The provision and dissemination of Open Data is a flourishing concept, which is highly recognized and established in the government and public administrations domains. Typically, the actual data is served as static file downloads, such as CSV or PDF, and the established software solutions for Open Data are mostly designed to manage this kind of data. However, the rising popularity of the Internet of things and smart devices in the public and private domain leads to an increase of available real-time data, like public transportation schedules, weather forecasts, or power grid data. Such timely and extensive data cannot be used to its full potential when published in a static, file-based fashion. Therefore, we designed and developed Ronda - an open source platform for gathering, processing and publishing real-time Open Data based on industry-proven and established big data and data processing tools. Our solution easily enables Open Data publishers to provide real-time interfaces for heterogeneous data sources, fostering more sophisticated and advanced Open Data use cases. We have evaluated our work through a practical application in a production environment.

: http://publica.fraunhofer.de/dokumente/N-640719.html