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Scientific Computing and Data<\/a>\u00a0\/\u00a0Mount Sinai Data Warehouse<\/a> \/ About OMOP Data Marts<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section bb_built=”1″ specialty=”on” _builder_version=”4.9.0″ _module_preset=”default” custom_padding=”0px||||false|false” prev_background_color=”#000000″][et_pb_column type=”1_4″][et_pb_image admin_label=”Icon: Data Marts” src=”https:\/\/labs.icahn.mssm.edu\/msdw\/wp-content\/uploads\/sites\/350\/2022\/03\/data-marts-1024×1024.png” title_text=”data marts” _builder_version=”4.9.0″ _module_preset=”default”]<\/p>\n <\/p>\n [\/et_pb_image][\/et_pb_column][et_pb_column type=”3_4″ specialty_columns=”3″][et_pb_row_inner _builder_version=”4.9.0″ _module_preset=”default”][et_pb_column_inner type=”undefined” saved_specialty_column_type=”3_4″ _builder_version=”4.9.0″ _module_preset=”default” saved_specialty_column_type=”3_4″][et_pb_text admin_label=”About OMOP Data Marts” _builder_version=”4.27.4″ 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Object%93″ header_3_text_shadow_horizontal_length_tablet=”0px” header_3_text_shadow_vertical_length=”header_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_vertical_length_tablet=”0px” header_3_text_shadow_blur_strength=”header_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_blur_strength_tablet=”1px” header_4_text_shadow_horizontal_length=”header_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_horizontal_length_tablet=”0px” header_4_text_shadow_vertical_length=”header_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_vertical_length_tablet=”0px” header_4_text_shadow_blur_strength=”header_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_blur_strength_tablet=”1px” header_5_text_shadow_horizontal_length=”header_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_horizontal_length_tablet=”0px” header_5_text_shadow_vertical_length=”header_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_vertical_length_tablet=”0px” header_5_text_shadow_blur_strength=”header_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_blur_strength_tablet=”1px” header_6_text_shadow_horizontal_length=”header_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_horizontal_length_tablet=”0px” header_6_text_shadow_vertical_length=”header_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_vertical_length_tablet=”0px” header_6_text_shadow_blur_strength=”header_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_blur_strength_tablet=”1px” box_shadow_horizontal_tablet=”0px” box_shadow_vertical_tablet=”0px” box_shadow_blur_tablet=”40px” box_shadow_spread_tablet=”0px” vertical_offset_tablet=”0″ horizontal_offset_tablet=”0″ z_index_tablet=”0″]<\/p>\n These OMOP data marts can save researchers’ time otherwise spent collecting or correcting data.\u00a0 Their efficiency is maximized through repeated use.<\/p>\n The MSDW team can provide access to your custom data mart via ATLAS or via a direct connection to the MSDW database on Minerva.<\/p>\n Each data mart is customized to your cohort inclusion criteria:<\/p>\n Patients’ membership in your cohort can be either static or recomputed dynamically as new data are loaded to MSDW.<\/p>\n The MSDW team can offer you a PHI or de-identified version of your OMOP data mart, or both!<\/p>\n Click here<\/a> for additional information on obtaining direct database access to MSDW’s OMOP data marts.<\/p>\n \u00a0<\/p>\n Your custom OMOP data mart is built using a patient cohort defined by your research study’s inclusion and\/or exclusion criteria. The OMOP data mart can contain PHI data, de-identified data, or both for your patient cohort of interest.<\/p>\n To compare Custom Data Marts to the other MSDW services, click here<\/a>.<\/p>\n If you’re ready to request your custom data mart, open a ticket here<\/a>.<\/p>\n Click here<\/a> to read more on how to access these curated data marts.<\/p>\n \u00a0<\/p>\n \u00a0<\/p>\n [\/et_pb_text][\/et_pb_column_inner][\/et_pb_row_inner][\/et_pb_column][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Scientific Computing and Data\u00a0\/\u00a0Mount Sinai Data Warehouse \/ About OMOP Data Marts About OMOP Data MartsThese OMOP data marts can save researchers’ time otherwise spent collecting or correcting data.\u00a0 Their efficiency is maximized through repeated use.The MSDW team can provide access to your custom data mart via ATLAS or via a direct connection to the […]<\/p>\n","protected":false},"author":600,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-1843","page","type-page","status-publish","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/labs.icahn.mssm.edu\/msdw\/wp-json\/wp\/v2\/pages\/1843","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/labs.icahn.mssm.edu\/msdw\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/labs.icahn.mssm.edu\/msdw\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/msdw\/wp-json\/wp\/v2\/users\/600"}],"replies":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/msdw\/wp-json\/wp\/v2\/comments?post=1843"}],"version-history":[{"count":19,"href":"https:\/\/labs.icahn.mssm.edu\/msdw\/wp-json\/wp\/v2\/pages\/1843\/revisions"}],"predecessor-version":[{"id":3983,"href":"https:\/\/labs.icahn.mssm.edu\/msdw\/wp-json\/wp\/v2\/pages\/1843\/revisions\/3983"}],"wp:attachment":[{"href":"https:\/\/labs.icahn.mssm.edu\/msdw\/wp-json\/wp\/v2\/media?parent=1843"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}About OMOP Data Marts<\/h1>\n
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Custom Data Mart<\/h2>\n
Data Mart Quick Links<\/h1>\n
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