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Challenges to Open Collaborative Data Engineering

Our paper “Challenges to Open Collaborative Data Engineering” got accepted to the Hawaii International Conference on System Sciences 2023 (HICSS 56). Sadly, we could not present in person due to a flight cancellation but we provided a short video presentation.

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 data engineering by users, taking place after data has been made available as open data. The results show that open data users perform a wide range of activities to acquire, understand, process and maintain data for their projects without established best practices or standardized tools for open collaboration. We identify and discuss technical, community, and process challenges to collaboration in data engineering for open data.

Links

Paper on ScholarSpace

HICSS-56 proceedings

Downloads

Paper local

Slides presentation

Video presentation


About Me

I am an indie maker & researcher with a doctorate in computer science, interested in (among others): Software engineering, open data, data science, startups and esports.

See /about for details.

Have feedback, comments? Email me: philip@heltweg.org.

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