HADatAc: A Framework for Scientific Data Integration using Ontologies

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Abstract:

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.

History

DateCreated ByLink
July 31, 2018
10:29:46
Henrique SantosDownload
July 25, 2018
09:09:34
Henrique SantosDownload
July 25, 2018
09:01:21
Henrique SantosDownload

Related Projects:

CHEAR Project LogoChild Health Exposure Analysis Repository (CHEAR)
Principal Investigator: Deborah L. McGuinness
Co Investigator: Kristin Bennett
Description: Child Health Exposure Analysis Repository Data Science Semantics
HADATAC LogoThe Human-Aware Data Acquisition Framework (HADatAc)
Principal Investigator: Paulo Pinheiro
Co Investigator: Deborah L. McGuinness
Description:

Related Research Areas:

Data Frameworks
Lead Professor: Peter Fox
Description: None.
Concepts:
Health Informatics
Lead Professor: Deborah L. McGuinness
Description:

Health informatics is "the interdisciplinary study of the design, development, adoption and application of IT-based innovations in healthcare services delivery, management and planning." Procter, R. Dr. (Editor, Health Informatics Journal, Edinburgh, United Kingdom). (From the U.S. National Library of Medicine)


Concepts: None.