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10.1089/omi.2020.0134 http://scihub22266oqcxt.onion/10.1089/omi.2020.0134 33719569!ä!33719569 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       OMICS 2021 ; 25 (3): 169-175 Nephropedia Template TP {{tp|p=33719569|t=2021. Global Open Health Data Cooperatives Cloud in an Era of COVID-19 and Planetary Health |pdf=|usr=}}{{33719569}} gab.com Text Global Open Health Data Cooperatives Cloud in an Era of COVID-19 and Planetary Health JO: OMICS http://www.kidney.de/pget.php?&tw=1&pmid=33719569 #FOAvip 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. Twit Text FOAVip Global Open Health Data Cooperatives Cloud in an Era of COVID-19 and Planetary Health ????OMICS http://www.kidney.de/pget.php?&tw=1&pmid=33719569 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33719569 #FOAvip English Wikipedia <ref>{{Cite pmid|33719569}}</ref> Global Open Health Data Cooperatives Cloud in an Era of COVID-19 and Planetary Health #MMPMID33719569 Tanwar AS; Evangelatos N; Venne J; Ogilvie LA; Satyamoorthy K; Brand A OMICS 2021[Mar]; 25 (3): 169-175 PMID33719569show ga 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. |*Big Data[MESH] |*Cloud Computing[MESH] |*Global Health[MESH] |*Information Dissemination[MESH] |*International Cooperation[MESH] |*SARS-CoV-2/genetics[MESH] |COVID-19/*epidemiology/virology[MESH] |Delivery of Health Care[MESH] |High-Throughput Nucleotide Sequencing[MESH]Global Open Health Data Cooperatives Cloud in an Era of COVID-19 and P(epmc).pdf DeepDyve Pubget Overpricing