Data governance applied to information science: Analysis of a scientific data system for the health area

Abstract

Data are valuable inputs to organizations and to scientific studies. In order for scientific data to be used in studies related to Motor Assessment, and to produce reliable results, good collection, storage and retrieval practices are required. This research aims to apply "Data Life Cycle Model" data governance tools to identify opportunities for improvements to the Motor Assessment System, especially related to data quality. Regarding to the methodological aspects, the study is characterized as a applied research with an exploratory feature, data collection performed through research-action, and data analysis through qualitative methods. As results, it was verified the need to redesign the studied system, including mechanism for data treatment to avoid duplicity and guarantee homogeneity and completeness. Likewise, it was found necessary to create and implement a policy to restrict that only able health and education professionals could enter data in the System. It is understood that good data governance practices, “Data Life Cycle Model” principles and other tools adopted in this study contributed to diagnose failures and identify opportunities for improvement in the Motor Assessment System.