The Open Data Editor workshop marked another important step in building an open data dynamic in the country, a civic opportunity for innovation and collaboration.
The three-hour online session focused on teaching the fundamentals of data usage and quality to professionals from various fields with different levels of familiarity with open data.
During our ODE workshop, many participants had an eye-opening moment. At first, some didn’t quite get how open source or open data related to their work. But once we introduced them to tools like the Data Package and its connection with ODE, it all clicked.
Workshop participants were able to identify problems associated with working with data. Some common scenarios were addressed, which were linked to a fear of working with data or dealing with databases without knowing what to do.
Using data such as COVID-19 genomic metadata from GISAID and custom datasets like dog genomic metadata, participants explored how to detect inconsistencies and errors in datasets.
The sessions were designed to equip participants with essential skills needed in today's data-driven journalism landscape and incorporating the Open Data Editor (ODE) in the data pipeline for journalists.
The in-person training at the Federal University of Ceará (UFC) aimed to ensure adherence to the Brazilian Access to Information Law, promoting both active and passive transparency.
The goal was to show participants how to upload a dataset, check for mistakes in the data, and add helpful information (metadata) that explains the dataset clearly.
This text reports on the impact of a training course offered by a multiplier trainer from the School of Data network. A one-day workshop on Ensuring FAIR and High Quality…