For a while now, there have been calls in the open data community for data publishers to improve the quality of data they publish. These calls have focussed efforts on answering 'Why better data quality matters'. 'Towards a Frictionless Data Future' talk is designed to go a step further and answer the 'How to publish higher quality data'. The aim of this session is to paint a picture of issues users face in working with data, and evoke data publishers to think about ways to improve the quality of the data they publish. The talk culminates with the introduction of the Frictionless Data Field Guide (http://frictionlessdata.io/field-guide/), which hand-holds data publishers on using Frictionless Data tools to improve data quality and as part of their data publishing workflows. I foresee no conflicts of interest.
I love working with and in communities! Let's chat about all things open (open source and open data), data quality and data validation. Ask me about Kenya, too!
