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All use of Scientific Computing and Data resources in publications and presentations must acknowledge Mount Sinai\u2019s CTSA funding award.<\/span> Click here<\/u><\/a><\/span><\/p>\n [\/et_pb_cta][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ fullwidth=”on” _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_fullwidth_menu menu_id=”15″ menu_style=”centered” fullwidth_menu=”on” active_link_color=”#d80b8c” dropdown_menu_bg_color=”#221f72″ dropdown_menu_line_color=”#221f72″ dropdown_menu_active_link_color=”#d80b8c” admin_label=”Navigation Menu” _builder_version=”4.16″ _module_preset=”default” menu_font=”|600|||||||” menu_text_color=”#FFFFFF” menu_font_size=”16px” background_color=”#221f72″ background_layout=”dark” sticky_position=”top” global_colors_info=”{}”][\/et_pb_fullwidth_menu][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Section” _builder_version=”4.16″ _module_preset=”default” custom_padding=”0px||0px||false|false” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ _module_preset=”default” custom_padding=”||0px||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text admin_label=”Breadcrumb” _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Scientific Computing and Data<\/a> \/ High Performance Computing<\/a> \/ Policies<\/a> \/ Acknowledgements<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ specialty=”on” _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text admin_label=”Policies Menu” _builder_version=”4.16″ _module_preset=”default” header_font=”|600|||||||” header_text_color=”#221f72″ global_colors_info=”{}”]<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”3_4″ specialty_columns=”3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_row_inner _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column_inner saved_specialty_column_type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text admin_label=”Acknowledge Scientific Computing and Data” _builder_version=”4.27.4″ _module_preset=”default” header_font=”|600|||||||” header_text_color=”#221f72″ header_2_text_color=”#00aeef” header_2_font_size=”24px” global_colors_info=”{}”]<\/p>\n Minerva High Performance Computing (HPC) is <\/span>supported by CTSA grant UL1TR004419 from the National Center for Advancing Translational Sciences, National Institutes of Health (NIH). It is required to have <\/span>the CTSA grant appear in a publication of any material, whether copyrighted or not, based on or developed with Minerva.<\/span><\/p>\n A stipulation of the NIH S10 award includes an accurate acknowledgement statement in publications that utilize NIH-funded resources. Currently, there are two NIH S10 funded machines in Minerva. Please acknowledge and link the NIH fund number accordingly.<\/span><\/p>\n 1.\u00a0 AIMS (AI Mount Sinai) – S10OD038231<\/strong> : 6X DGX B200 nodes launched in 2026<\/i><\/span><\/p>\n <\/span>2. CATS (COVID and Translational Science supercomputer) – S10OD030463<\/strong> : High-memory CPU nodes launched in 2021<\/i><\/span><\/p>\n \u00a0<\/span>In addition, please both acknowledge and cite Minerva HPC in publications. Recognition of the HPC resources used for research is important for acquiring funding for the next generation of hardware, support services, and our research and development activities in HPC.\u00a0<\/span>\u00a0<\/span><\/p>\n Please<\/span><\/i> cite Minerva platform and the technologies adopted in all your publications using:<\/span>\u00a0<\/span><\/p>\n [\/et_pb_text][et_pb_text admin_label=”Acknowledge Scientific Computing and Data” _builder_version=”4.27.4″ _module_preset=”default” header_font=”|600|||||||” header_text_color=”#221f72″ header_2_text_color=”#00aeef” header_2_font_size=”24px” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n All publications utilizing Minerva resources must include one of the following acknowledgements depending on your funding status:<\/span>\u00a0<\/span><\/p>\n [\/et_pb_text][et_pb_text admin_label=”Acknowledge Scientific Computing and Data” _builder_version=”4.27.4″ _module_preset=”default” header_font=”|600|||||||” header_text_color=”#221f72″ header_2_text_color=”#00aeef” header_2_font_size=”24px” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n [\/et_pb_text][\/et_pb_column_inner][\/et_pb_row_inner][\/et_pb_column][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ _module_preset=”default” background_color=”#221f72″ locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ _module_preset=”default” text_font=”Arial||||||||” background_layout=”dark” global_colors_info=”{}”]<\/p>\n \u00a9 2025 Icahn School of Medicine at Mount Sinai |<\/span>\u00a0<\/span>Privacy Policy<\/a><\/p>\n All usage of resources, including the ticket system, is governed by Mount Sinai’s Code of Conduct<\/a><\/p>\nPolicies<\/h1>\n
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Cite and Acknowledge Minerva<\/span> and NIH <\/span>A<\/span>wards<\/span> in <\/span>P<\/span>ublications<\/span><\/span>\u00a0<\/span><\/h1>\n
Why?<\/span><\/b>\u00a0<\/span><\/h2>\n
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How to Cite Minerva in your Publication?<\/span><\/b>\u00a0<\/span><\/h2>\n
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How to Acknowledge Funding Sources?<\/span><\/b>\u00a0<\/span><\/h2>\n
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<\/span><\/span>\u00a0<\/span><\/li>\nHow to Associate NIH Grants to Publications?<\/span><\/b>\u00a0<\/span><\/h2>\n
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