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+# DataDash – Explore public APIs and datasets
+
+[TOC]
+
+## Description
+DataDash is a simple Product Hunt-like "tool" for searching and discovering the newest datasets and APIs.
+It provides the ability to up-/downvote entries, and to indicate the quality of a given dataset/API by rating it on a scale of 0 to 5 stars.
+
+## Installation
+### On Linux and Mac
+To install DataDash, follow these steps:
+
+#### 1. Clone the repository:
+```bash
+$ git clone https://git.fim.uni-passau.de/padas/24ss-5430-web-and-data-eng/gruppe-3/datadash.git
+```
+
+#### 2. Enter the repo:
+```bash
+$ cd datadash
+```
+
+#### 3. Install Java JDK 22: Please refer to the installation instructions for your package manager/OS.
+
+#### 4. Start the application:
+```bash
+$ ./mvnw spring-boot:run
+```
+
+Additional dependencies will be downloaded and managed by maven.
+
+## Deployment
+### 1. Follow [installation steps 1-3](#installation).
+
+### 2. _(Optional)_ Remove sample data:
+Remove [`src/main/resources/data.sql`](src/main/resources/data.sql) to remove the sample data.
+
+> **Note:** This will also remove all default categories.
+
+### 3. Package the application:
+```bash
+$ ./mvnw package
+```
+
+This will create the `.war` file that you can deploy as you like.
+
+## Usage
+1. Open your web browser and navigate to `http://localhost:8080`.
+
+2. Some **dummy data** will be shown (if configured, see [deployment step 2](#2-optional-remove-sample-data)).
+
+3. Add your own datasets and APIs via the **add button** in the top left corner.
+
+4. In the top right you can see the **search toolbar**. Here you can **sort**, input **search terms**, and **filter by categories or type of content** (i.e. dataset or API).
+
+5. For **more information** on a certain dataset just click on it
+
+    1. You can differentiate between **API** and **dataset** via the **blue box**.
+
+    2. The **user perceived quality** is indicated by the **number and stars** on the left hand side just below the title.
+
+    3. You can also **vote** by just **hovering** and then **clicking on the stars**.
+
+    4. Right next to the stars the **summary** is displayed. It's a short text describing the main purpose.
+
+    5. Below the star rating and summary the **dataset's/API's source** is linked
+
+    6. In the next section some metadata regarding the **date of submission**, **category**, **license** and a link to the **Terms of Use** are shown.
+
+    7. Next you can see a **full description**.
+
+    8. At the very bottom of the page there is a button that will bring you **back to the homepage**. If you want to go back to the **previous page** (e.g. search) you might want to use **your browser's back button**.
+
+    9. If you created the entry that you are currently looking at, you will find a **`Delete`** button next to the `Back to main page` button. This will **delete** the entry **without any further confirmation**.
+
+## Used Frameworks/Libraries
+### Frontend
+None, our whole frontend is written in **native HTML, CSS, and JavaScript**.
+
+It has been tested on **Firefox 127** and **Chromium 126**.
+
+### Backend
+We have used the following dependencies:
+ - `spring-boot-starter-web`
+ - `springdoc-openapi-starter-webmvc-ui`
+ - `spring-boot-starter-tomcat`
+ - `spring-boot-starter-test`
+ - `com.h2database`