add markdown poc

src/components/Navbar.astro

@@ -5,7 +5,7 @@ const links = [
   {href: "/astro-poc", text: "Home"},
   {href: "/astro-poc/about", text: "About"},
   {href: "/astro-poc/knowledgebase", text: "Knowledgebase"},
-  {href: "/astro-poc/tools", text: "Tools"},
+  {href: "/astro-poc/details/tools-and-services", text: "Tools"},
   {href: "/astro-poc/Partners", text: "Partners"},
 ]
 ---

src/layouts/MarkdownLayout.astro

@@ -4,7 +4,7 @@ import Layout from './BaseLayout.astro';
 const { frontmatter } = Astro.props;
 
 function createTagLink(tag: string) {
-  return `/astro-poc/posts/tags/${tag}`;
+  return `/astro-poc/details/tags/${tag}`;
 }
 ---
 

src/pages/details/tools-and-services.md

@@ -0,0 +1,149 @@
+---
+layout: ../../layouts/MarkdownLayout.astro
+title: 'Tools and Services'
+pubDate: 2024-09-10
+description: 'A short summary for ARC related tools and services.'
+author: 'Kevin Frey'
+image:
+    url: 'https://docs.astro.build/assets/rose.webp'
+    alt: 'The Astro logo on a dark background with a pink glow.'
+tags: ["tools", "services", "community"]
+---
+
+PLACEHOLDER
+
+Here is some placeholder content in Markdown format for testing purposes. It includes various Markdown elements to ensure that your styling covers a wide range of formatting options.
+
+---
+
+# Research Data Management Tools for the ARC
+
+Research Data Management (RDM) tools are crucial in supporting researchers to effectively manage, share, and preserve their data throughout the research lifecycle. The **Annotated Research Context (ARC)** provides an integrated environment for such tools, enhancing collaboration and ensuring compliance with data management best practices.
+
+---
+
+## Key Features of Research Data Management Tools
+
+1. **Data Storage & Backup**  
+   Ensures that all research data is securely stored and backed up to prevent data loss.
+
+2. **Metadata Annotation**  
+   Provides tools to annotate data with rich metadata, making it easier to find, understand, and reuse.
+
+3. **Data Sharing & Collaboration**  
+   Facilitates data sharing among researchers while maintaining access controls and privacy.
+
+4. **Data Preservation**  
+   Helps to preserve research data for long-term access and reuse.
+
+## Popular RDM Tools Supported by the ARC
+
+| Tool Name         | Functionality                  | Supported Formats               |
+|-------------------|--------------------------------|---------------------------------|
+| **DMPTool**       | Data management plan creation  | PDF, DOCX, HTML                 |
+| **DataCite**      | DOI registration for datasets  | JSON, XML, DOI                  |
+| **Open Science Framework (OSF)** | Project management and collaboration | CSV, TXT, JPG, PNG, PDF        |
+
+### Example of a Data Management Workflow
+
+> "Good research data management is not just a matter of organization; it's a matter of integrity."  
+> — *Anonymous Researcher*
+
+Below is an example of a typical data management workflow using ARC tools:
+
+1. **Planning Phase**  
+   - Define your research goals.
+   - Use **DMPTool** to create a data management plan.
+
+2. **Data Collection Phase**  
+   - Collect data in various formats (e.g., `.csv`, `.txt`).
+   - Annotate data with **metadata** using the ARC Metadata Annotator.
+
+3. **Data Analysis Phase**  
+   - Utilize tools like **Jupyter Notebooks** for data analysis.
+   - Store intermediate results on **OSF** for collaboration.
+
+4. **Publication & Sharing Phase**  
+   - Register your datasets with **DataCite** for a DOI.
+   - Share your findings on **ARC's Open Repository**.
+
+### Advantages of Using the ARC
+
+- **Centralized Platform**: One place to manage all your research data.
+- **Interoperability**: Supports various tools and data formats.
+- **Compliance**: Ensures that your research meets institutional and funding requirements.
+
+---
+
+## Frequently Asked Questions (FAQs)
+
+### 1. What is ARC?
+
+ARC stands for **Annotated Research Context**, a comprehensive platform for managing research data and associated tools.
+
+### 2. How do I get started with ARC?
+
+To get started, you can visit the [ARC website](https://www.example.com) and follow the onboarding instructions.
+
+### 3. Does ARC support open data sharing?
+
+Yes, ARC promotes open data sharing, while allowing you to control who has access to your data.
+
+## Markdown Syntax Test
+
+Here is a list of diverse Markdown elements to test the styling:
+
+- **Bold Text**: **This is bold**
+- *Italic Text*: *This is italic*
+- ***Bold and Italic***: ***This is bold and italic***
+- ~~Strikethrough Text~~: ~~This text is struck through~~
+- `Inline Code`: `const x = 5;`
+
+#### Code Block
+
+```python
+# Example Python code for data analysis
+import pandas as pd
+
+# Load the dataset
+data = pd.read_csv('data.csv')
+
+# Perform basic analysis
+print(data.describe())
+```
+
+#### Image Test
+
+![ARC Logo](https://via.placeholder.com/150)
+
+#### Blockquote
+
+> "Data is a precious thing and will last longer than the systems themselves."  
+> — *Tim Berners-Lee*
+
+---
+
+### Conclusion
+
+Research Data Management is a vital aspect of modern research. The ARC provides a comprehensive suite of tools and resources to help researchers effectively manage their data, collaborate with peers, and share findings with the broader community.
+
+For more information, explore the [ARC Documentation](https://www.example.com/docs).
+
+---
+
+### Task List
+
+- [x] Create a data management plan
+- [ ] Annotate all datasets with metadata
+- [ ] Register datasets with DataCite
+- [x] Share findings in the ARC repository
+
+### Footnote Test
+
+This is an example of a footnote reference[^1].
+
+[^1]: This is the footnote text.
+
+---
+
+This Markdown content contains diverse elements to help you test the styling in your project thoroughly.