2026-10-13T01:38:29Z https://www.scidb.cn/oai

10.11922/sciencedb.j00104.00070 2020-10-17T21:17:09Z

2020-10-17 Distributed Analytics on Sensitive Medical Data: The Personal Health Train doi:10.11922/sciencedb.j00104.00070 en One table and two figures of the paper. Table 1 shows that The Personal Health Train (PHT) is a novel approach, aiming to establish a distributed data analytics infrastructure enabling the (re)use of distributed healthcare data, while data owners stay in control of their own data. The main principle of the PHT is that data remain in their original location, and analytical tasks visit data sources and execute the tasks. The PHT provides a distributed, flexible approach to use data in a network of participants, incorporating the FAIR principles. It facilitates the responsible use of sensitive and/or personal data by adopting international principles and regulations. FAIR principles supported by the PHT components. Figure 1 shows main components of the PHT architecture. Figure 2 presents applicability of FAIR principles to the components of the PHT. Distributed analytics; Data reuse; FAIR; Health data; Ethics and privacy Oya Beyan Ananya Choudhury Johan van Soest Oliver Kohlbacher Lukas Zimmermann Holger Stenzhorn Md. Rezaul Karim Michel Dumontier Stefan Decker Luiz Olavo Bonino da Silva Santos Andre Dekker PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset http://www.doi.org/10.1162/dint_a_00032 Science Data Bank