Tag: Data Engineering

Abstract: A large part of data science projects is spent on data engineering. Especially in open data contexts, data quality issues are prevalent and are often tackled by non-professional programmers. We introduce and evaluate Jayvee, a domain-specific language for data engineering aimed at reducin...

Abstract: Today a lot of open data is available on the internet. To utilize this information to its full potential, it is often necessary to combine multiple datasets into new datasets. An important part of this is understanding and following the requirements of the licenses attached to them. This ...

Abstract: The goal for this thesis is to contribute to the JValue Hub. The thesis is covering the design and development of the new ad-hoc runtime feature for the JValue. Pipeline Editor. During the process, pipeline and code editor market were assessed and a new layout for the JValue editor was cr...

Abstract: Collaborative workflows are common in open-source software development. They reduce individual costs and improve the quality of work results. Open data shares many characteristics with open-source software as it can be used, modified, and redistributed by anyone, for free. However, in con...

Abstract: Open transport data enables innovation by offering a vast amount of information for developers, researchers, urban planners, and entrepreneurs to create new applications, services, and business models. However, the lack of specific guidelines for making data “open” has led to the exis...

Abstract: Open data is data that can be used, modified, and passed on, for free, similar to open-source software. Unlike open-source, however, there is little collaboration in open data engineering. We perform a systematic literature review of collaboration systems in open data, specifically for da...