Abstract
Getting insight from data is not always a straightforward process. Data is often hard to find, archived in difficult to use formats, poorly structured and/or incomplete. These issues create friction and make it difficult-to-use, publish and share data. The Frictionless Data initiative at Open Knowledge Foundation aims to reduce friction in working with data, with a goal to make it effortless to transport data among different tools and platforms for further analysis. The corresponding toolkit consists of a set of standards for data and metadata interoperability, accompanied by a collection of open source software that implement these standards, and a range of best practices for data management. In this article we are going to focus on data standards, why they are important, and, using the Frictionless Data standards as a base for the reflection, we will try to understand what makes - in our opinion- a standard successful.
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