Authors:
Wesley Lourenco Barbosa
1
;
Jacqueline David Planas
1
;
Maritza M. Carvalho Francisco
2
;
Solange Nice Alves-Souza
3
;
Lucia Vilela Leite Filgueiras
1
;
Leandro Manuel Reis Velloso
4
and
Luiz Sérgio de-Souza
5
Affiliations:
1
Departamento de Engenharia de Computação e Sistemas Digitais, Escola Politécnica, Universidade de São Paulo, São Paulo, Brazil
;
2
Departamento de Sistemas de Informação, Escola de Artes, Ciência e Humanidades, Universidade de São Paulo, São Paulo, Brazil
;
3
Departamento de Engenharia de Computação e Sistemas Digitais, Escola Politécnica, Universidade de São Paulo, São Paulo, Brazil
;
4
Departamento de Projetos, Faculdade de Arquitetura e Urbanismo, Universidade de São Paulo, São Paulo, Brazil
;
5
Faculdade de Tecnologia de São Paulo, São Paulo, Brazil
Keyword(s):
Data Governance, Data Literacy, Metadata Quality, Governance Framework, Health Indicators.
Abstract:
Public Health Policy Indicators (PHPI) are tools for monitoring the performance of policies and enable data-driven decision-making. For the PHPI to be useful for different stakeholders, they must be characterized, promoting an unequivocal understanding of their meaning. PHPI are consolidated from data assets, which must be managed to result in reliable information that support the decision-making process. However, in the public sector, aspects related to data and indicators governance tend to be neglected. Thus, we propose a metadata-oriented framework for health indicator governance, that incorporates aspects of the agile philosophy, and allows implementing a fast-start governance program. Furthermore, a flag-based system is proposed to promote data literacy in the context of health indicators. From a case study, we attained results that show the feasibility of implementing a governance program, with budget and time constraints, guaranteeing fast value delivery. The quality flags pr
oved to be an adequate strategy to classify the indicator metadata in a simplified way and encourage improvement actions. Therefore, working towards obtaining more detailed descriptions of the indicators that highlight the usefulness of the information, promotes a better understanding of its meaning and use, encouraging data literacy, generating value, and positively impacting the management of health policies.
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