Frictionless Data-based model applied to open government data

Abstract

This study discusses how a model based on Fricitionless Data (FD) can facilitate the publication of open government data (DAGs). FD is an initiative of the Open Knowledge Foundation, which aims to eliminate "friction" in working with data, that is, when much time and resources are lost to understand and work with the data. Within public institutions, the lack of standards for publication and processing of DAGs is a common problem when it comes to opening DAGs. The study tried to contribute by applying the model to the set of data with information on good practices executed by the Judiciary related to the Objectives of Sustainable Development (ODS). Through a bibliographic survey, the main characteristics found in the models for opening DOGS and barriers inherent to the publication process, were identified in the literature. The laboratory research technique was used to describe and analyze the application of the proposed model in a controlled environment for specific purposes of this work. The model was based on Data Publication Workflow, a data publication flow available at the Frictionless Data initiative website that addresses steps such as data packaging, treatment and publication. The implementation of the model also used open source tools based on Frictionless Data. The results showed the feasibility of the model for opening up a set of open government data, as well as demonstrated that the tools available in the Frictionless Data initiative contributed to the verification of the steps in the model. It was concluded that the model needs validation in other contexts, such as integration and opening of different public databases related to ODS.