Challenges to Open Collaborative Data Engineering

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dc.contributor.authorHeltweg, Philip
dc.contributor.authorRiehle, Dirk
dc.date.accessioned2022-12-27T18:54:50Z
dc.date.available2022-12-27T18:54:50Z
dc.date.issued2023-01-03
dc.description.abstractOpen 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.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2023.085
dc.identifier.isbn978-0-9981331-6-4
dc.identifier.otherc1cf82f6-c954-4b22-9dc8-f3a572f9f7bd
dc.identifier.urihttps://hdl.handle.net/10125/102714
dc.language.isoeng
dc.relation.ispartofProceedings of the 56th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectVirtual Collaboration, Organizations, and Networks
dc.subjectcollaboration
dc.subjectdata engineering
dc.subjectliterature review
dc.subjectopen data
dc.subjectworkflow
dc.titleChallenges to Open Collaborative Data Engineering
dc.type.dcmitext
prism.startingpage679

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