Move to v3.2.0 of the ETT (elixir-europe#353)

* update to latest version

* bring back dev banner

* scroll to top

_config.yml

@@ -4,12 +4,13 @@ title: Infectious Diseases Toolkit
 description: "Find tools and guidelines to help you access, analyse and share infectious disease data, and respond quickly to disease outbreaks."
 # Metadata description of the website
 
-remote_theme: ELIXIR-Belgium/elixir-toolkit-theme@3.1.1
+remote_theme: ELIXIR-Belgium/elixir-toolkit-theme@3.2.0
 
 gtag: G-TNT17YGXQ4
 
 theme_variables:
   privacy_statement_url: /about/privacy
+  dev-info-banner: true
   theme_color: 457B9D
   headings:
     resource-table-all-collapse: true

attributing-credit/index.md

@@ -1,5 +1,6 @@
 ---
 title: Attributing credit
+toc: false
 ---
 
 

data-analysis/index.md

@@ -1,5 +1,6 @@
 ---
 title: Data analysis
+toc: false
 ---
 
 Data analysis involves employing workflows tailored to different types of data, such as epidemiological, clinical, or molecular data. These workflows can include steps like data collection, cleaning, integration, and analysis, and use statistical and computational methods to uncover trends, associations, and patterns. Systematic data analysis helps researchers and health professionals to understand disease dynamics, assess intervention strategies, and improve disease prevention and control measures based on robust, data-driven insights.

data-description/index.md

@@ -1,5 +1,6 @@
 ---
 title: Data description
+toc: false
 ---
 
 Data description involves detailing the datasets used in research or surveillance. This includes, for example, finding and adhering to relevant standards for (meta)data and documentation to ensure that  data are accurately represented, interoperable, and reusable. Accurate data description improves the clarity and reliability of information regarding disease incidence, transmission, and treatment outcomes, which is essential for ensuring effective public health interventions and scientific studies. Good data description promotes data sharing among various stakeholders, allowing for more meta-analyses, and encouraging collaborations to improve the understanding and management of disease.

data-sources/index.md

@@ -1,5 +1,6 @@
 ---
 title: Data sources
+toc: false
 ---
 
 Identifying and sharing data from related sources is important for comprehensive analysis and informed decision-making. Data sources may include clinical data from hospitals, laboratory results, epidemiological surveys, and public health records. Integrating these varied data sources enables researchers and health professionals to track disease spread, evaluate the effectiveness of interventions, and predict future outbreaks. Sharing data among various stakeholders whilst maintaining privacy and ethical standards supports real-time monitoring and aids in the global effort to control infectious diseases.

index.html

@@ -88,9 +88,7 @@ <h2>We welcome contributors!</h2>
         </section>
      </div>
     {%- if site.theme_variables.back_to_top or site.theme_variables.back_to_top == nil %}
-    <button id="back-to-top" class="btn btn-primary btn-sm rounded-pill" type="button" aria-hidden="true" onclick="topFunction()">
-        <i class="fa-solid fa-arrow-up"></i>
-    </button>
+    {% include scroll-top.html  %}
     {%- endif %}
     {% include footer.html %}
     {% include cookie-popup.html %}

national-resources/index.md

@@ -1,5 +1,6 @@
 ---
 title: National resources
+toc: false
 ---
 
 The national resources pages provide a general overview of resources, tools, and information related to the management of infectious disease data in a given country. The aim of these pages is ultimately to promote greater information exchange between countries so that all can benefit from each other's experiences. In particular, we hope that the descriptions of initiatives and resources developed in one country can provide valuable insights for others looking to create similar solutions for their own needs.

provenance/index.md

@@ -1,5 +1,6 @@
 ---
 title: Provenance
+toc: false
 ---
 
 Provenance refers to the practice of meticulously tracking data, as well as associated processing and analysis steps, to ensure the integrity and reproducibility of research findings. This involves documenting the origins of data, all transformations and manipulations it undergoes, and the analytical methods applied. By maintaining detailed records of these elements, researchers can provide a transparent path from raw data to final results, facilitating the validation and verification of the data by other researchers. This is critical in infectious disease research, where data accuracy and reliability are essential for effective disease monitoring, outbreak response, and public health decision-making.

quality-control/index.md

@@ -1,5 +1,6 @@
 ---
 title: Quality control
+toc: false
 ---
 
 Quality control ensures the accuracy and reliability of data collected and analysed. Various tools and methods are used at different stages, from collection and processing to analysis and reporting. Effective quality control measures help to identify and correct errors, reduce data variability, and enhance the credibility of findings. By implementing rigorous quality control protocols, researchers can provide robust, actionable insights that are critical for managing and mitigating infectious disease outbreaks.

showcase/index.md

@@ -1,5 +1,6 @@
 ---
 title: Showcase
+toc: false
 ---
 
 Showcasing involves presenting applied examples of handling infectious disease data to demonstrate successful strategies and methodologies that have been developed and used across different countries and domains. Showcases highlight best practices, encourage learning, and facilitate the adoption of proven techniques across both the public health and scientific communities.

tools-and-resources-list/index.md

@@ -1,6 +1,7 @@
 ---
 title: Tools and resources list
 datatable: true
+toc: false
 ---
 
 This page captures all tools and resources mentioned across the Infectious Diseases Toolkit. 

training-resources-list/index.md

@@ -1,6 +1,7 @@
 ---
 title: Training resources list
 datatable: true
+toc: false
 ---
 
 This page displays all training resources mentioned across the Infectious Diseases Toolkit.