Join our free virtual Frictionless Data workshop on 20th May
Join us on 20th May at 4pm BST/10am CDT for a Frictionless Data workshop led by the Reproducible Research fellows. This 90-minute long workshop will cover an introduction to the open source Frictionless Data tools. Participants will learn about data wrangling, including how to document metadata, package data into a datapackage, write a schema to describe data and validate data. The workshop is suitable for beginners and those looking to learn more about using Frictionless Data. It will be presented in English, but you can ask questions in English or Spanish.
# Everyone is welcome to join, but you must register to attend using this link (opens new window).
The fellows programme is part of the Frictionless Data for Reproducible Research project (opens new window) overseen by the Open Knowledge Foundation (opens new window). This project, funded by the Sloan Foundation, applies our work in Frictionless Data to data-driven research disciplines, in order to facilitate data workflows in research contexts.
At its core, Frictionless Data is a set of specifications (opens new window) for data and metadata interoperability, accompanied by a collection of software libraries (opens new window) that implement these specifications, and a range of best practices for data management. The core specification, the Data Package, is a simple and practical “container” for data and metadata. This workshop will be led by the members of the first cohort of the fellows programme: Lily Zhao, Daniel Ouso, Monica Granados, and Selene Yang. You can read more about their work during this programme here: http://fellows.frictionlessdata.io/blog/ (opens new window).
Additionally, applications are now open for the second cohort of fellows. Read more about applying here: https://blog.okfn.org/2020/04/27/apply-now-to-become-a-frictionless-data-reproducible-research-fellow/ (opens new window)