Frictionless Data: Making Research Data Quality Visible release_p4bzgrxfpvflfoehrhzh3iwyri

by Dan Fowler, Jo Barratt, Paul Walsh

Published in International Journal of Digital Curation by Edinburgh University Library.

2018   Volume 12, p274-285

Abstract

There is significant friction in the acquisition, sharing, and reuse of research data. It is estimated that eighty percent of data analysis is invested in the cleaning and mapping of data (Dasu and Johnson,2003). This friction hampers researchers not well versed in data preparation techniques from reusing an ever-increasing amount of data available within research data repositories. Frictionless Data is an ongoing project at Open Knowledge International focused on removing this friction. We are doing this by developing a set of tools, specifications, and best practices for describing, publishing, and validating data. The heart of this project is the "Data Package", a containerization format for data based on existing practices for publishing open source software. This paper will report on current progress toward that goal.
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Date   2018-05-13
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