Frictionless Data Processing in the Wild

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Date
2019-05-08
Authors
York, Amber
Schloer, Conrad
Copley, Nancy
Biddle, Matt
Rauch, Shannon
Haskins, Christina
Soenen, Karen
Shepherd, Adam
Kinkade, Danie
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DOI
10.5281/zenodo.2687557
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Keywords
Open data
Frictionless data
Datapackage-pipelines
Open knowledge
Data processing
Provenance
Interoperability
FAIR
Workflows
Abstract
Frictionless Data (FD) initiatives out of the Open Knowledge Foundation provide attractive informatics and processing capabilities. The BCO-DMO data repository used FD tools on real-world datasets, and we have some lessons learned to share. By building upon existing FD tools, we found ways to reduce the amount of time data managers spend generating metadata, and writing custom scripts. We are also developing ways for data managers with varying levels of scripting ability to make use of Frictionless Data tools.
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Presented at csv,conf,v4 Conference Portland, Oregon, May 5-8, 2019.
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Except where otherwise noted, this item's license is described as Attribution 4.0 International