Easy findability and accessibility are important for the efficient re-use of research data. The Data Collections Explorer is an information system focussed on the engineering sciences. We want to help your search for subject specific repositories, archives, databases, and individually published datasets by answering these questions:
- Are there datasets available to support my research questions?
- Are there benchmarks available to check my results?
- Are datasets published Open Access?
- Where to publish my research datasets?
- Are there size limitations for datasets?
- Are there publication costs?
- Filtering for type of resource, subject area, Open Access
- Full-text search of the entries
- Constantly updated based on community feedback
For local development, you need RStudio with the following packages installed:
- rmarkdown
- flexdashboard
- DT
- readr
These can be installed from within R as follows:
install.packages(c("rmarkdown", "flexdashboard", "DT", "readr"))
Docker is required If you want to serve a local instance of the Data Collections Explorer. Run the following commands to set up the container:
# This builds the container and installs the required packages
docker build -t nfdi4ing-data-collections-explorer:v1 - < Dockerfile
# Start the container
docker compose up
Once the container is up and running, it can be accessed at localhost:3838.
The R Markdown document (index.Rmd) and the CSV table to be served are located in the application directory
outside the Docker container. When the Docker container is run for the first time, a directory shiny-logs is
created on the same level as the application directory.
Please make a pull request if you miss a dataset, repository, database, or archive. Thank you!