Frictionless Data: Making Research Data Quality Visible
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.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright for papers and articles published in this journal is retained by the authors, with first publication rights granted to the University of Edinburgh. It is a condition of publication that authors license their paper or article under a Creative Commons Attribution 4.0 International (CC BY 4.0) licence.