[et_pb_section fb_built=”1″ custom_padding_last_edited=”on|phone” admin_label=”Header” _builder_version=”4.20.0″ _module_preset=”default” background_enable_color=”off” background_image=”https:\/\/health-scientific-data.ca\/wp-content\/uploads\/2023\/02\/nos-servicesDP_191131126_XL.jpg” parallax=”on” custom_padding=”156px||156px||true|” custom_padding_tablet=”100px||100px||true|false” custom_padding_phone=”60px||60px||true|false” animation_style=”slide” animation_direction=”bottom” animation_duration=”600ms” animation_intensity_slide=”2%” global_colors_info=”{}”][et_pb_row _builder_version=”4.19.5″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.5″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.20.0″ _module_preset=”default” header_font=”|600||on|||||” header_text_align=”center” header_text_color=”#FF8C00″ header_font_size=”75px” header_font_size_tablet=”60px” header_font_size_phone=”40px” header_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n
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[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ module_id=”protocol” _builder_version=”4.20.0″ _module_preset=”default” background_color=”rgba(255,140,0,0.1)” custom_padding=”60px|||||” top_divider_style=”slant2″ top_divider_color=”#2E8B57″ top_divider_height=”50px” global_colors_info=”{}”][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.19.5″ _module_preset=”default” custom_padding=”42px|||||” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.19.5″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/health-scientific-data.ca\/wp-content\/uploads\/2023\/02\/nos-services-protocole-DP_72232193.jpg” alt=”Health scientific data – Protocol” title_text=”Health scientific data – Protocol” align=”center” _builder_version=”4.20.0″ _module_preset=”default” width=”100%” custom_margin=”-11px|||||” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.20.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.20.0″ _module_preset=”default” custom_margin=”||-12px|||” custom_padding=”7px|10px|9px|10px|false|true” global_colors_info=”{}”]<\/p>\n
We produce a document that describes the method of the proposed study, from justification to objectives, from hypothesis to methodological constraints, and that defines its conditions of realization and its conduct. The study protocol contains:<\/p>\n
[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.19.5″ _module_preset=”default” custom_padding=”8px|||||” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.19.5″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.5″ _module_preset=”default” custom_padding=”10px|10px|10px|10px|true|true” global_colors_info=”{}”]<\/p>\n
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[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ module_id=”collection” _builder_version=”4.20.0″ _module_preset=”default” background_enable_image=”off” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][et_pb_row column_structure=”3_5,2_5″ _builder_version=”4.19.5″ _module_preset=”default” custom_padding=”||7px|||” global_colors_info=”{}”][et_pb_column type=”3_5″ _builder_version=”4.19.5″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.5″ _module_preset=”default” custom_padding=”10px|10px|10px|10px|true|true” global_colors_info=”{}”]<\/p>\n
We use the systematic approach of gathering and measuring information from a variety of sources to obtain a complete and accurate view of an area of interest. Data collection allows an individual or company to answer relevant questions, evaluate outcomes, and better anticipate future probabilities and trends. Accuracy is required in data collection to ensure study integrity, informed decision-making, and quality assurance. It is for this reason that we collect data with state-of-the-art equipment, including the geolocated information system.<\/p>\n
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[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ module_id=”analysis” _builder_version=”4.19.5″ _module_preset=”default” background_color=”rgba(46,139,87,0.18)” global_colors_info=”{}”][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.19.5″ _module_preset=”default” custom_margin=”-5px|auto||auto||” custom_padding=”2px|||||” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.19.5″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/health-scientific-data.ca\/wp-content\/uploads\/2023\/02\/nos-services-analyse-statistiqueDP_12354846.jpg” alt=”Health Scientific Data – Statistical analysis” title_text=”Health Scientific Data – Statistical analysis” align=”center” _builder_version=”4.20.0″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.19.5″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.5″ _module_preset=”c2fb15d9-81ad-44ca-a96e-5c5ff284bb35″ global_colors_info=”{}”]<\/p>\n
We use statistical and logical techniques to describe the scope of data, modulate data structure, condense data representation, illustrate data with images, tables, and graphs, and evaluate statistical bias, probability data, to draw meaningful conclusions.<\/p>\n
Statistical analysis is the technique of performing various statistical operations to quantify data and apply statistical analysis. Quantitative data involves descriptive data such as surveys and observational data. It is also called descriptive analysis. It includes various tools for performing statistical data analysis, such as:<\/p>\n
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[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ module_id=”visualization” _builder_version=”4.19.5″ _module_preset=”default” custom_padding=”||13px|||” global_colors_info=”{}”][et_pb_row _builder_version=”4.19.5″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.5″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.5″ _module_preset=”default” custom_margin=”||-9px|||” custom_padding=”10px|10px|10px|10px|true|true” border_color_all=”#2E8B57″ global_colors_info=”{}”]<\/p>\n
We visually represent the data to be able to detect and understand the information, the raw data being difficult to interpret and exploit. This process is done by specific analytical tools and is materialized by tables (Excel type), graphs, visual maps or even infographics grouped in Dashboards (dashboards).<\/p>\n
[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”2_5,3_5″ _builder_version=”4.19.5″ _module_preset=”default” custom_padding=”14px|||||” global_colors_info=”{}”][et_pb_column type=”2_5″ _builder_version=”4.19.5″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.5″ _module_preset=”c2fb15d9-81ad-44ca-a96e-5c5ff284bb35″ global_colors_info=”{}”]<\/p>\n
[\/et_pb_text][et_pb_text _builder_version=”4.19.5″ _module_preset=”c2fb15d9-81ad-44ca-a96e-5c5ff284bb35″ global_colors_info=”{}”]<\/p>\n
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[\/et_pb_text][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”4.19.5″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/health-scientific-data.ca\/wp-content\/uploads\/2023\/02\/nos-services-visualisation-DP_25241009.jpg” alt=”Health Scientific Data – Vizualisation” title_text=”Health Scientific Data – Vizualisation” _builder_version=”4.20.0″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ module_id=”interpretation” _builder_version=”4.19.5″ _module_preset=”default” background_color=”rgba(253,1,98,0.12)” global_colors_info=”{}”][et_pb_row column_structure=”3_5,2_5″ _builder_version=”4.19.5″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_5″ _builder_version=”4.19.5″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.5″ _module_preset=”default” custom_padding=”10px|10px|10px|10px|true|true” border_color_all=”#2E8B57″ global_colors_info=”{}”]<\/p>\n
We build a compelling narrative based on complex data and analysis to convey your narrative and thus influence and inform a particular audience. Data interpretation is very similar to human storytelling, but it has the advantage of offering deeper insights and providing evidence through graphs and tables. With data interpretation, complex information is simplified so your audience can interact with your content and make critical decisions faster and with confidence.<\/p>\n
[\/et_pb_text][\/et_pb_column][et_pb_column type=”2_5″ _builder_version=”4.19.5″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/health-scientific-data.ca\/wp-content\/uploads\/2023\/02\/nos-services-interpretation-DP_62385557.jpg” alt=”Health Scientific Data – Data interpretation” title_text=”Health Scientific Data – Data interpretation” _builder_version=”4.20.0″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"
Our servicesA systematic approachThe study protocol We produce a document that describes the method of the proposed study, from justification to objectives, from hypothesis to methodological constraints, and that defines its conditions of realization and its conduct. The study protocol contains: A title page; A summary; A table of contents; An introduction; The objectives of\u2026 Read More »<\/a><\/p>\n","protected":false},"author":1,"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-572","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/health-scientific-data.ca\/en\/wp-json\/wp\/v2\/pages\/572","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/health-scientific-data.ca\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/health-scientific-data.ca\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/health-scientific-data.ca\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/health-scientific-data.ca\/en\/wp-json\/wp\/v2\/comments?post=572"}],"version-history":[{"count":18,"href":"https:\/\/health-scientific-data.ca\/en\/wp-json\/wp\/v2\/pages\/572\/revisions"}],"predecessor-version":[{"id":700,"href":"https:\/\/health-scientific-data.ca\/en\/wp-json\/wp\/v2\/pages\/572\/revisions\/700"}],"wp:attachment":[{"href":"https:\/\/health-scientific-data.ca\/en\/wp-json\/wp\/v2\/media?parent=572"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}