This Angular dashboard was developed as part of the Innovative Hochschule Potsdam - ONE.UP project.
The aim of this project was to empower scientific communication. Many scientists learn skills to communicate within their scientific community, but thereby unlearn the language and platforms to reach audiences outside their community. If scientists are willing to open their communication spheres, then finding a medium and the appropriate language should be, at best, as little effort as possible. Our approach is to scan the media landscape for the chosen research topics and prepare them for researchers in a way that they know which of their research topics are currently being discussed by society. With this knowledge, researchers can find media with specific thematic focuses and use this for targeted and appropriate science communication. The underlying assumption is that scientists might get an easier entry point for the communication about their research process or results when they know about the pervasion of their research interests in society. From the abstract for the presentation a ICDT '22
A paper about possible features for this architecture can be found at EUNIS '20.
This project is divided into two main parts: Backend and Dashboard (this repository).
The dashboard and the components it contains are written in Angular. The following components are included:
Files in src/app
are structured semantically:
src/app/dashboard-elements
src/app/components
src/app/services
src/app/directives
src/app/interfaces
src/app/interceptors
npm install
ng serve --configuration development
npm install
ng serve --configuration production
npm install
npm run compodoc:build-and-serve
The following variables could be configured:
variable name | description |
---|---|
production | boolean value if the artefact is running in a productive environment |
apiUrl | URL to the Backend, which provides the basics for visualization in the dashboard |
Some parameters can be used to configure the data and visualization in the dashboard.
The ID is for viewing the dashboard data for a specific user. If the dashboard is not integrated into a system with user management, this is the only way to give users an entry point to their data view.
User 1 is always active in the backend. To get other users, you need to create them in the backend. To ensure security in the backend, there is no interface to create users via the API. Users can also be disabled in the backend. At the moment, the dashboard does not show when a user is disabled.
Default: user=1
Example:
http://localhost:4200/?user=1
If you want to see the category selection always, you can activate this function.
Default: cat=false
http://localhost:4200/?cat=1
Shows only a single component of the dashboard. In development settings it could be useful to see just one component. All components can be addressed by a short form of their names. The short forms of their names are:
Example:
http://localhost:4200/?feat=region
The dashboard is divided into Components. To evaluate this dashboard every component is placed in the same order, as seen in the screenshot.
Shown on a timescale is how many articles have been published regarding the selected topics.
Depicted on a timescale, it shows how the reach changes with regard to the selected topics.
The range of each topic is shown here in a bar chart.
A quantitative overview of all media in which the topic appears. In this component there are filtering options with which you can determine the relevant topics. It is possible to view all topics or only the selected ones. If a single topic is selected, a filter option is also activated for it.
This component visualizes the number of monthly/weekly changes in articles reporting on the selected topics
This component provides a comparison of whether the topics were discussed more often in regional or national media.