Métricas para dados governamentais abertos: análise de modelos internacionais

• Autor(a) principal: Patrícia Nascimento Silva
• Data de Publicação: 2017
• Outros Autores: Marta Macedo Kerr Pinheiro
• Tipo de documento: Artigo de conferência
• Idioma: por
• Título da fonte: Repositório Institucional da UFMG
• Texto Completo: http://hdl.handle.net/1843/77242
• topic: Tecnologia da informação; Avaliação tecnológica; Dados conectados; Dados Conectados; Tecnologia e Estado; Tecnologia da informação

With the opening of government data, initiated in 2009, a new context emerges on the reuse of Open Government Data (DGA). Government data has always been a source of various information products and its potential has been increasingly valued by citizens, private companies and governments themselves. To do this, agencies need guidelines and guidelines that establish criteria, concepts and metrics for the simplification and regulation of access to public sector information, since the evaluation of open data actions is as important as the availability of such data for society. The purpose of this article is to investigate metrics, indicators and models of international literature used in other countries to measure the use of DGA. From an exploratory research with a qualitative approach, the publications were collected between 2009 and 2016 in three languages: Portuguese; English; Spanish, in the DGA topic, but the analysis was limited to publications that contained assessments, metrics and indicators in the context of DGA or open data. Six international methodologies have been identified: MePOD-VS, MELODA, UNE 178301, Open Data Maturity Model (OD-MM), OPEN DATA MATURITY MODEL and OpenGOVB based on specific legislation. The methodologies present several variables for the evaluation of open data and DGA and can be used and adapted by the governments, since the evaluated items can be collected from the responsible agencies. The intersection of variables, principles and rules proposed by these methodologies can contribute to the elaboration of metrics in different application contexts with possible adaptations to the Brazilian context.