Analyzing Partitioned FAIR Health Data Responsibly

Autor:	Chang Sun, Lianne Ippel, Birgit Wouters, Johan van Soest, Alexander Malic, Onaopepo Adekunle, Bob van den Berg, Marco Puts, Ole Mussmann, Annemarie Koster, Carla van der Kallen, David Townend, Andre Dekker, Michel Dumontier
Předmět:	FOS: Computer and information sciences Computer Science - Computers and Society H.2.4 E.3 Computers and Society (cs.CY) H.2.8 E.1
Zdroj:	Maastricht University
Popis:	It is widely anticipated that the use of health-related big data will enable further understanding and improvements in human health and wellbeing. Our current project, funded through the Dutch National Research Agenda, aims to explore the relationship between the development of diabetes and socio-economic factors such as lifestyle and health care utilization. The analysis involves combining data from the Maastricht Study (DMS), a prospective clinical study, and data collected by Statistics Netherlands (CBS) as part of its routine operations. However, a wide array of social, legal, technical, and scientific issues hinder the analysis. In this paper, we describe these challenges and our progress towards addressing them. Comment: 6 pages, 1 figure, preliminary result, project report
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c7f7bd5ef23ab47b51dbb6d1cd52de0 https://cris.maastrichtuniversity.nl/en/publications/5fd44bdc-772c-45d6-b5c1-f9896972f462 Zobrazit plný text záznamu