TY - JOUR
T1 - Global Open Health Data Cooperatives Cloud in an Era of COVID-19 and Planetary Health
AU - Tanwar, Ankit Singh
AU - Evangelatos, Nikolaos
AU - Venne, Julien
AU - Ogilvie, Lesley Ann
AU - Satyamoorthy, Kapaettu
AU - Brand, Angela
N1 - Funding Information:
The authors would like to thank Manipal Academy of Higher Education (MAHE) and especially the Manipal School of Life Sciences and the Prasanna School of Public Health. This work would have not been possible without the support provided through the prestigious Dr. TMA Pai Endowment Chairs of MAHE and the Scheme for Promotion of Academic and Research Collaboration (SPARC) project no. P1457. The authors would also like to thank the United Nations University—Maastricht Economic and Social Research Institute on Innovation and Technology (UNU-MERIT) and Maastricht University for infrastructure and support.
Publisher Copyright:
© Copyright 2021, Mary Ann Liebert, Inc., publishers 2021.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/3
Y1 - 2021/3
N2 - Big data in both the public domain and the health care industry are growing rapidly, for example, with broad availability of next-generation sequencing and large-scale phenomics datasets on patient-reported outcomes. In parallel, we are witnessing new research approaches that demand sharing of data for the benefit of planetary society. Health data cooperatives (HDCs) is one such approach, where health data are owned and governed collectively by citizens who take part in the HDCs. Data stored in HDCs should remain readily available for translation to public health practice but at the same time, governed in a critically informed manner to ensure data integrity, veracity, and privacy, to name a few pressing concerns. As a solution, we suggest that data generated from high-Throughput omics research and phenomics can be stored in an open cloud platform so that researchers around the globe can share health data and work collaboratively. We describe here the Global Open Health Data Cooperatives Cloud (GOHDCC) as a proposed cloud platform-based model for the sharing of health data between different HDCCs around the globe. GOHDCC's main objective is to share health data on a global scale for robust and responsible global science, research, and development. GOHDCC is a citizen-oriented model cooperatively governed by citizens. The model essentially represents a global sharing platform that could benefit all stakeholders along the health care value chain.
AB - Big data in both the public domain and the health care industry are growing rapidly, for example, with broad availability of next-generation sequencing and large-scale phenomics datasets on patient-reported outcomes. In parallel, we are witnessing new research approaches that demand sharing of data for the benefit of planetary society. Health data cooperatives (HDCs) is one such approach, where health data are owned and governed collectively by citizens who take part in the HDCs. Data stored in HDCs should remain readily available for translation to public health practice but at the same time, governed in a critically informed manner to ensure data integrity, veracity, and privacy, to name a few pressing concerns. As a solution, we suggest that data generated from high-Throughput omics research and phenomics can be stored in an open cloud platform so that researchers around the globe can share health data and work collaboratively. We describe here the Global Open Health Data Cooperatives Cloud (GOHDCC) as a proposed cloud platform-based model for the sharing of health data between different HDCCs around the globe. GOHDCC's main objective is to share health data on a global scale for robust and responsible global science, research, and development. GOHDCC is a citizen-oriented model cooperatively governed by citizens. The model essentially represents a global sharing platform that could benefit all stakeholders along the health care value chain.
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U2 - 10.1089/omi.2020.0134
DO - 10.1089/omi.2020.0134
M3 - Article
C2 - 33719569
AN - SCOPUS:85102766555
SN - 1536-2310
VL - 25
SP - 169
EP - 175
JO - OMICS A Journal of Integrative Biology
JF - OMICS A Journal of Integrative Biology
IS - 3
ER -