HADatAc: a framework for scientific data integration using ontologies

• Autor(a) principal: Paulo Pinheiro
• Data de Publicação: 2018
• Outros Autores: Henrique Santos, Zhicheng Liang, Yue Liu, Sabbir Rashid, Deborah McGuinness, Marcello Peixoto Bax
• Tipo de documento: Artigo de conferência
• Idioma: por
• Título da fonte: Repositório Institucional da UFMG
• Texto Completo: http://hdl.handle.net/1843/62300; https://orcid.org/0000-0001-8469-4043; https://orcid.org/0000-0001-9646-1183; https://orcid.org/0000-0002-4162-8334; https://orcid.org/0000-0001-7037-4567; https://orcid.org/0000-0003-0503-3031
• topic: Ontologias; Framework (programa de computador); Processamento de dados

To investigate the cause and progression of a phenomenon, such as chronic disease, it is essential to collect a wide variety of data that together explains the complex interplay of different factors, e.g., genetic, lifestyle, environmental and social. Sharing information between studies is therefore of paramount importance. However, data that needs to be analyzed must be appropriately integrated, conceptually aligned, and harmonized. This implies that data collection must be done either in a sufficiently similar or a sufficiently transparent way in order to support meaningful synthesis from different studies. We will demonstrate how the Human-Aware Data Acquisition (HADatAc) framework integrates and harmonizes data from multiple scientific studies and thus how to use it in interdisciplinary science investigations.