Editorial: Automated data curation and data governance automation

John R Talburt; Lisa Ehrlinger; Justin Magruder

doi:10.3389/fdata.2023.1148331

Editorial: Automated data curation and data governance automation

Front Big Data. 2023 Mar 29:6:1148331. doi: 10.3389/fdata.2023.1148331. eCollection 2023.

Authors

John R Talburt¹, Lisa Ehrlinger², Justin Magruder³

Affiliations

¹ Department of Information Science, University of Arkansas at Little Rock, Little Rock, AR, United States.
² Software Competence Center Hagenberg GmbH, Hagenberg, Austria.
³ Science Applications International Corporation, Reston, VA, United States.

No abstract available

Keywords: automated data integration; automated error correction; automated error detection; data curation automation; data governance automation.

Publication types

Editorial

Grants and funding

Some of the material provided here is based upon work supported by the National Science Foundation Program under Award no. OIA-1946391. This work has been partly funded by BMK, BMDW, and the State of Upper Austria in the frame of the SCCH Competence Center INTEGRATE (FFG grant no. 892418) part of the FFG COMET Competence Centers for Excellent Technologies Programme.