Auflistung nach Schlagwort "Quality Assessment"
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- TextdokumentPotentials of Bicycle Infrastructure Data Lakes to Support Cycling Quality Assessment(INFORMATIK 2022, 2022) Schering,Johannes; Marx Gómez,Jorge; Büsselmann,Lena; Alfaro,Federico; Stüven,JanA data-driven quality assessment of bicycle infrastructure is necessary in times of crisis to support the decision-making process in cycling promotion. The INFRASense project was initiated to support the scoring of bike paths by providing new crowdsourcing data that is combined with other relevant data sources (traffic amount, accidents, citizen reportings etc.). The storage and processing of heterogeneous bike infrastructure data may be a challenge. With its flexibility a Data Lake could be an alternative to the traditional Data Warehouse. In the first step the paper gives an overview about data-driven initiatives in the use-case of bike infrastructure quality assessment and the recently started research project INFRASense. We will provide an overview about data sources that may potentially be included into the data driven quality assessment. Big Bicycle Data is available in many different structures and formats (CSV, XML, SHP etc.). In the second step the concepts of Data Lake and Data Warehouse are introduced. The benefits and weaknesses of these two solutions are shown followed by a discussion about which one of these is the best concept for storage, processing, and analysis of heterogeneous bicycle infrastructure data. In the last step we are providing an outlook how an efficient bicycle infrastructure data management system could be implemented.
- KonferenzbeitragQualitative Comparison of Enterprise Architecture Model Maintenance Processes(40 Years EMISA 2019, 2020) Hacks, Simon; Lichter, HorstEnterprise Architecture (EA) is no end in itself but has to provide central, important, and up-to-date information of the organization to its clients. So far, different researchers have elaborated on processes to ensure a (semi-)automated EA model maintenance. For practitioners this raises the question how the processes can be compared to each other. To answer this question, we identified a set of five quality criteria and asked EA researcher and practitioners to rate those for three processes.